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"},"2":{"url":"/serving/main/en/#getting-started","type":"fragment","title":"Welcome to SecretFlow-Serving’s documentation! - Getting started","content":"Follow the tutorial and try out SecretFlow-Serving on your machine! tutorial "},"3":{"url":"/serving/main/en/#secretflow-serving-systems","type":"fragment","title":"Welcome to SecretFlow-Serving’s documentation! - SecretFlow-Serving Systems","content":"\nOverview:\nSystem overview and architecture\nObservability:\nLogs, Metrics and Trace\nFeatureSource:\nFeature Service\n Overview:\nSystem overview and architecture Overview System overview and architecture Observability:\nLogs, Metrics and Trace Observability Logs, Metrics and Trace FeatureSource:\nFeature Service FeatureSource Feature Service "},"4":{"url":"/serving/main/en/#deployment","type":"fragment","title":"Welcome to SecretFlow-Serving’s documentation! - Deployment","content":"\nGuides:\nHow to deploy an SecretFlow-Serving cluster |\nServing on Kuscia\nReference:\nSecretFlow-Serving service API |\nSecretFlow-Serving system config |\nSecretFlow-Serving feature service spi\n Guides:\nHow to deploy an SecretFlow-Serving cluster |\nServing on Kuscia Guides How to deploy an SecretFlow-Serving cluster Serving on Kuscia Reference:\nSecretFlow-Serving service API |\nSecretFlow-Serving system config |\nSecretFlow-Serving feature service spi Reference SecretFlow-Serving service API SecretFlow-Serving system config SecretFlow-Serving feature service spi "},"5":{"url":"/serving/main/en/#graph","type":"fragment","title":"Welcome to SecretFlow-Serving’s documentation! - Graph","content":"\nOverview:\nIntroduction to graphs |\nOperators\nReference:\nSecretFlow-Serving model |\nsecretflow-serving-lib docs\n Overview:\nIntroduction to graphs |\nOperators Overview Introduction to graphs Operators Reference:\nSecretFlow-Serving model |\nsecretflow-serving-lib docs Reference SecretFlow-Serving model secretflow-serving-lib docs "},"6":{"url":"/serving/main/en/#prediction-algorithms","type":"fragment","title":"Welcome to SecretFlow-Serving’s documentation! - Prediction Algorithms","content":"\nIntroduction:\nIntroduction to prediction algorithms\n Introduction:\nIntroduction to prediction algorithms Introduction Introduction to prediction algorithms  "},"7":{"url":"/serving/main/en/intro#introduction","type":"fragment","title":"Introduction","content":"\nQuickstart\n\nTL;DR\nStart SecretFlow-Serving Service\nDo Predict\n\n\n \nQuickstart\n\nTL;DR\nStart SecretFlow-Serving Service\nDo Predict\n\n\n Quickstart\n\nTL;DR\nStart SecretFlow-Serving Service\nDo Predict\n\n Quickstart \nTL;DR\nStart SecretFlow-Serving Service\nDo Predict\n TL;DR TL;DR Start SecretFlow-Serving Service Start SecretFlow-Serving Service Do Predict Do Predict "},"8":{"url":"/serving/main/en/intro/tutorial#quickstart","type":"fragment","title":"Quickstart","content":""},"9":{"url":"/serving/main/en/intro/tutorial#tl-dr","type":"fragment","title":"Quickstart - TL;DR","content":"Use docker-compose to deploy a SecretFlow-Serving cluster, the query the model using the predict API. docker-compose "},"10":{"url":"/serving/main/en/intro/tutorial#start-secretflow-serving-service","type":"fragment","title":"Quickstart - Start SecretFlow-Serving Service","content":"You could start SecretFlow-Serving service via docker-compose, it would deploy and start services as shown in the following figure, it contains two SecretFlow-Serving from party Alice, Bob. docker-compose Alice Bob   To demonstrate SecretFlow-Serving, we conducted the following simplified operations:\nBoth parties of Secretflow-Serving use mock feature source to produce random feature values.\nThe model files in the examples directory are loaded by Alice and Bob’s Secretflow-Serving respectively。\nThe SecretFlow-Serving in this example provides services through the HTTP protocol. However, for a production environment, it is recommended to use mTLS to secure all communication links and access the service via HTTPS. Please check mTLS Configuration for details.\n To demonstrate SecretFlow-Serving, we conducted the following simplified operations: \nBoth parties of Secretflow-Serving use mock feature source to produce random feature values.\nThe model files in the examples directory are loaded by Alice and Bob’s Secretflow-Serving respectively。\nThe SecretFlow-Serving in this example provides services through the HTTP protocol. However, for a production environment, it is recommended to use mTLS to secure all communication links and access the service via HTTPS. Please check mTLS Configuration for details.\n Both parties of Secretflow-Serving use mock feature source to produce random feature values. The model files in the examples directory are loaded by Alice and Bob’s Secretflow-Serving respectively。 Alice Bob The SecretFlow-Serving in this example provides services through the HTTP protocol. However, for a production environment, it is recommended to use mTLS to secure all communication links and access the service via HTTPS. Please check mTLS Configuration for details. HTTP mTLS HTTPS mTLS Configuration mTLS Configuration  Now, the Alice’s SecretFlow-Serving is listening on http://localhost:9010, the Bob’s SecretFlow-Serving is listening on http://localhost:9011, you could send predict request to it via curl or other http tools. Alice http://localhost:9010 Bob http://localhost:9011 "},"11":{"url":"/serving/main/en/intro/tutorial#do-predict","type":"fragment","title":"Quickstart - Do Predict","content":"send predict request to Alice Alice  send predict request to Bob Bob  Please checkout SecretFlow-Serving API for the Predict API details. Please checkout SecretFlow-Serving API for the Predict API details. SecretFlow-Serving API SecretFlow-Serving API "},"12":{"url":"/serving/main/en/reference/spi#secretflow-serving-spi","type":"fragment","title":"SecretFlow-Serving SPI","content":""},"13":{"url":"/serving/main/en/reference/spi#table-of-contents","type":"fragment","title":"SecretFlow-Serving SPI - Table of Contents","content":"\nServices\n\nBatchFeatureService\n\n\nMessages\n\nBatchFetchFeatureRequest\nBatchFetchFeatureResponse\nHeader\nHeader.DataEntry\nStatus\nFeature\nFeatureField\nFeatureParam\nFeatureValue\n\n\nEnums\n\nErrorCode\nFieldType\n\n\nScalar Value Types\n Services\n\nBatchFeatureService\n\n \nBatchFeatureService\n BatchFeatureService BatchFeatureService Messages\n\nBatchFetchFeatureRequest\nBatchFetchFeatureResponse\nHeader\nHeader.DataEntry\nStatus\nFeature\nFeatureField\nFeatureParam\nFeatureValue\n\n \nBatchFetchFeatureRequest\nBatchFetchFeatureResponse\nHeader\nHeader.DataEntry\nStatus\nFeature\nFeatureField\nFeatureParam\nFeatureValue\n BatchFetchFeatureRequest BatchFetchFeatureRequest BatchFetchFeatureResponse BatchFetchFeatureResponse Header Header Header.DataEntry Header.DataEntry Status Status Feature Feature FeatureField FeatureField FeatureParam FeatureParam FeatureValue FeatureValue Enums\n\nErrorCode\nFieldType\n\n \nErrorCode\nFieldType\n ErrorCode ErrorCode FieldType FieldType Scalar Value Types Scalar Value Types "},"14":{"url":"/serving/main/en/reference/spi#batchfeatureservice","type":"fragment","title":"SecretFlow-Serving SPI - BatchFeatureService","content":"BatchFeatureService provides access to fetch features. "},"15":{"url":"/serving/main/en/reference/spi#batchfetchfeature","type":"fragment","title":"SecretFlow-Serving SPI - BatchFetchFeature","content":"\nrpc BatchFetchFeature(BatchFetchFeatureRequest)\nBatchFetchFeatureResponse\n rpc BatchFetchFeature(BatchFetchFeatureRequest)\nBatchFetchFeatureResponse rpc BatchFetchFeatureRequest BatchFetchFeatureResponse  "},"16":{"url":"/serving/main/en/reference/spi#messages","type":"fragment","title":"SecretFlow-Serving SPI - Messages","content":""},"17":{"url":"/serving/main/en/reference/spi#batchfetchfeaturerequest","type":"fragment","title":"SecretFlow-Serving SPI - BatchFetchFeatureRequest","content":"BatchFetchFeature request containing one or more requests.\nexamples:  FieldTypeDescriptionheader HeaderCustom data passed by the Predict request’s header.model_service_id stringModel service specification.party_id stringThe request party id.feature_fieldsrepeated secretflow.serving.FeatureFieldRequest feature field listparam secretflow.serving.FeatureParamCustom query paramters for fetch features FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description header HeaderCustom data passed by the Predict request’s header.model_service_id stringModel service specification.party_id stringThe request party id.feature_fieldsrepeated secretflow.serving.FeatureFieldRequest feature field listparam secretflow.serving.FeatureParamCustom query paramters for fetch features header HeaderCustom data passed by the Predict request’s header. header header  Header  Header  Header Custom data passed by the Predict request’s header. Custom data passed by the Predict request’s header. model_service_id stringModel service specification. model_service_id model_service_id  string  string  string  string Model service specification. Model service specification. party_id stringThe request party id. party_id party_id  string  string  string  string The request party id. The request party id. feature_fieldsrepeated secretflow.serving.FeatureFieldRequest feature field list feature_fields feature_fields repeated secretflow.serving.FeatureField repeated secretflow.serving.FeatureField repeated secretflow.serving.FeatureField Request feature field list Request feature field list param secretflow.serving.FeatureParamCustom query paramters for fetch features param param  secretflow.serving.FeatureParam  secretflow.serving.FeatureParam  secretflow.serving.FeatureParam Custom query paramters for fetch features Custom query paramters for fetch features  "},"18":{"url":"/serving/main/en/reference/spi#batchfetchfeatureresponse","type":"fragment","title":"SecretFlow-Serving SPI - BatchFetchFeatureResponse","content":"BatchFetchFeatureResponse response containing one or more responses.\nexamples:  FieldTypeDescriptionheader HeaderCustom data.status Statusnonefeaturesrepeated secretflow.serving.FeatureShould include all the features mentioned in the BatchFetchFeatureRequest.feature_fields FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description header HeaderCustom data.status Statusnonefeaturesrepeated secretflow.serving.FeatureShould include all the features mentioned in the BatchFetchFeatureRequest.feature_fields header HeaderCustom data. header header  Header  Header  Header Custom data. Custom data. status Statusnone status status  Status  Status  Status none none featuresrepeated secretflow.serving.FeatureShould include all the features mentioned in the BatchFetchFeatureRequest.feature_fields features features repeated secretflow.serving.Feature repeated secretflow.serving.Feature repeated secretflow.serving.Feature Should include all the features mentioned in the BatchFetchFeatureRequest.feature_fields Should include all the features mentioned in the BatchFetchFeatureRequest.feature_fields  "},"19":{"url":"/serving/main/en/reference/spi#header","type":"fragment","title":"SecretFlow-Serving SPI - Header","content":"Header containing custom data FieldTypeDescriptiondatamap Header.DataEntrynone FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description datamap Header.DataEntrynone datamap Header.DataEntrynone data data map Header.DataEntry map Header.DataEntry map Header.DataEntry map Header.DataEntry none none  "},"20":{"url":"/serving/main/en/reference/spi#header-dataentry","type":"fragment","title":"SecretFlow-Serving SPI - Header.DataEntry","content":"FieldTypeDescriptionkey stringnonevalue stringnone FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description key stringnonevalue stringnone key stringnone key key  string  string  string  string none none value stringnone value value  string  string  string  string none none  "},"21":{"url":"/serving/main/en/reference/spi#status","type":"fragment","title":"SecretFlow-Serving SPI - Status","content":"Represents the status of spi request FieldTypeDescriptioncode int32code value reference ErrorCode in secretflow_serving/spis/error_code.protomsg stringnone FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description code int32code value reference ErrorCode in secretflow_serving/spis/error_code.protomsg stringnone code int32code value reference ErrorCode in secretflow_serving/spis/error_code.proto code code  int32  int32  int32  int32 code value reference ErrorCode in secretflow_serving/spis/error_code.proto code value reference ErrorCode in secretflow_serving/spis/error_code.proto ErrorCode msg stringnone msg msg  string  string  string  string none none  "},"22":{"url":"/serving/main/en/reference/spi#feature","type":"fragment","title":"SecretFlow-Serving SPI - Feature","content":"The definition of a feature FieldTypeDescriptionfield FeatureFieldnonevalue FeatureValuenone FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description field FeatureFieldnonevalue FeatureValuenone field FeatureFieldnone field field  FeatureField  FeatureField  FeatureField none none value FeatureValuenone value value  FeatureValue  FeatureValue  FeatureValue none none  "},"23":{"url":"/serving/main/en/reference/spi#featurefield","type":"fragment","title":"SecretFlow-Serving SPI - FeatureField","content":"The definition of a feature field. FieldTypeDescriptionname stringUnique name of the featuretype FieldTypeField type of the feature FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description name stringUnique name of the featuretype FieldTypeField type of the feature name stringUnique name of the feature name name  string  string  string  string Unique name of the feature Unique name of the feature type FieldTypeField type of the feature type type  FieldType  FieldType  FieldType Field type of the feature Field type of the feature  "},"24":{"url":"/serving/main/en/reference/spi#featureparam","type":"fragment","title":"SecretFlow-Serving SPI - FeatureParam","content":"The custom parameters for fetch features. FieldTypeDescriptionquery_datasrepeated stringCustom parameters data for querying feature values, the specific content format of which is determined by the feature datasource provider. Each one for query one row of features.query_context stringOptional. Represents the common part of the query datas. FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description query_datasrepeated stringCustom parameters data for querying feature values, the specific content format of which is determined by the feature datasource provider. Each one for query one row of features.query_context stringOptional. Represents the common part of the query datas. query_datasrepeated stringCustom parameters data for querying feature values, the specific content format of which is determined by the feature datasource provider. Each one for query one row of features. query_datas query_datas repeated string repeated string repeated string repeated string Custom parameters data for querying feature values, the specific content format of which is determined by the feature datasource provider. Each one for query one row of features. Custom parameters data for querying feature values, the specific content format of which is determined by the feature datasource provider. Each one for query one row of features. query_context stringOptional. Represents the common part of the query datas. query_context query_context  string  string  string  string Optional. Represents the common part of the query datas. Optional. Represents the common part of the query datas.  "},"25":{"url":"/serving/main/en/reference/spi#featurevalue","type":"fragment","title":"SecretFlow-Serving SPI - FeatureValue","content":"The value of a feature FieldTypeDescriptioni32srepeated int32int listi64srepeated int64nonefsrepeated floatfloat listdsrepeated doublenonessrepeated stringstring listbsrepeated boolbool list FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description i32srepeated int32int listi64srepeated int64nonefsrepeated floatfloat listdsrepeated doublenonessrepeated stringstring listbsrepeated boolbool list i32srepeated int32int list i32s i32s repeated int32 repeated int32 repeated int32 repeated int32 int list int list i64srepeated int64none i64s i64s repeated int64 repeated int64 repeated int64 repeated int64 none none fsrepeated floatfloat list fs fs repeated float repeated float repeated float repeated float float list float list dsrepeated doublenone ds ds repeated double repeated double repeated double repeated double none none ssrepeated stringstring list ss ss repeated string repeated string repeated string repeated string string list string list bsrepeated boolbool list bs bs repeated bool repeated bool repeated bool repeated bool bool list bool list  "},"26":{"url":"/serving/main/en/reference/spi#enums","type":"fragment","title":"SecretFlow-Serving SPI - Enums","content":" "},"27":{"url":"/serving/main/en/reference/spi#errorcode","type":"fragment","title":"SecretFlow-Serving SPI - ErrorCode","content":"ONLY for Reference by ResponseHeader\nIt’s subset of google.rpc.Code NameNumberDescriptionOK0Not an error; returned on success NameNumberDescription NameNumberDescription Name Name Number Number Description Description OK0Not an error; returned on success OK0Not an error; returned on success OK OK 0 0 Not an error; returned on success Not an error; returned on success HTTP Mapping: 200 OK |\n| INVALID_ARGUMENT | 3 | The client specified an invalid argument. Note that this differs from FAILED_PRECONDITION. INVALID_ARGUMENT indicates arguments that are problematic regardless of the state of the system (e.g., a malformed file name). FAILED_PRECONDITION INVALID_ARGUMENT HTTP Mapping: 400 Bad Request |\n| DEADLINE_EXCEEDED | 4 | The deadline expired before the operation could complete. For operations that change the state of the system, this error may be returned even if the operation has completed successfully. For example, a successful response from a server could have been delayed long enough for the deadline to expire. HTTP Mapping: 504 Gateway Timeout |\n| NOT_FOUND | 5 | Some requested entity (e.g., file or directory) was not found. Note to server developers: if a request is denied for an entire class of users, such as gradual feature rollout or undocumented whitelist, NOT_FOUND may be used. If a request is denied for some users within a class of users, such as user-based access control, PERMISSION_DENIED must be used. NOT_FOUND PERMISSION_DENIED HTTP Mapping: 404 Not Found |\n| INTERNAL_ERROR | 13 | Internal errors. This means that some invariants expected by the underlying system have been broken. This error code is reserved for serious errors. HTTP Mapping: 500 Internal Server Error |\n| UNAUTHENTICATED | 16 | The request does not have valid authentication credentials for the operation. HTTP Mapping: 401 Unauthorized |  "},"28":{"url":"/serving/main/en/reference/spi#fieldtype","type":"fragment","title":"SecretFlow-Serving SPI - FieldType","content":"Supported feature field type. NameNumberDescriptionUNKNOWN_FIELD_TYPE0Placeholder for proto3 default value, do not use it.FIELD_BOOL1BOOLFIELD_INT322INT32FIELD_INT643INT64FIELD_FLOAT4FLOATFIELD_DOUBLE5DOUBLEFIELD_STRING6STRING NameNumberDescription NameNumberDescription Name Name Number Number Description Description UNKNOWN_FIELD_TYPE0Placeholder for proto3 default value, do not use it.FIELD_BOOL1BOOLFIELD_INT322INT32FIELD_INT643INT64FIELD_FLOAT4FLOATFIELD_DOUBLE5DOUBLEFIELD_STRING6STRING UNKNOWN_FIELD_TYPE0Placeholder for proto3 default value, do not use it. UNKNOWN_FIELD_TYPE UNKNOWN_FIELD_TYPE 0 0 Placeholder for proto3 default value, do not use it. Placeholder for proto3 default value, do not use it. FIELD_BOOL1BOOL FIELD_BOOL FIELD_BOOL 1 1 BOOL BOOL FIELD_INT322INT32 FIELD_INT32 FIELD_INT32 2 2 INT32 INT32 FIELD_INT643INT64 FIELD_INT64 FIELD_INT64 3 3 INT64 INT64 FIELD_FLOAT4FLOAT FIELD_FLOAT FIELD_FLOAT 4 4 FLOAT FLOAT FIELD_DOUBLE5DOUBLE FIELD_DOUBLE FIELD_DOUBLE 5 5 DOUBLE DOUBLE FIELD_STRING6STRING FIELD_STRING FIELD_STRING 6 6 STRING STRING  "},"29":{"url":"/serving/main/en/reference/spi#scalar-value-types","type":"fragment","title":"SecretFlow-Serving SPI - Scalar Value Types","content":".proto TypeNotesC++ TypeJava TypePython Type doubledoubledoublefloat floatfloatfloatfloat int32Uses variable-length encoding. Inefficient for encoding negative numbers – if your field is likely to have negative values, use sint32 instead.int32intint int64Uses variable-length encoding. Inefficient for encoding negative numbers – if your field is likely to have negative values, use sint64 instead.int64longint/long uint32Uses variable-length encoding.uint32intint/long uint64Uses variable-length encoding.uint64longint/long sint32Uses variable-length encoding. Signed int value. These more efficiently encode negative numbers than regular int32s.int32intint sint64Uses variable-length encoding. Signed int value. These more efficiently encode negative numbers than regular int64s.int64longint/long fixed32Always four bytes. More efficient than uint32 if values are often greater than 2^28.uint32intint fixed64Always eight bytes. More efficient than uint64 if values are often greater than 2^56.uint64longint/long sfixed32Always four bytes.int32intint sfixed64Always eight bytes.int64longint/long boolboolbooleanboolean stringA string must always contain UTF-8 encoded or 7-bit ASCII text.stringStringstr/unicode bytesMay contain any arbitrary sequence of bytes.stringByteStringstr .proto TypeNotesC++ TypeJava TypePython Type .proto TypeNotesC++ TypeJava TypePython Type .proto Type .proto Type Notes Notes C++ Type C++ Type Java Type Java Type Python Type Python Type  doubledoubledoublefloat floatfloatfloatfloat int32Uses variable-length encoding. Inefficient for encoding negative numbers – if your field is likely to have negative values, use sint32 instead.int32intint int64Uses variable-length encoding. Inefficient for encoding negative numbers – if your field is likely to have negative values, use sint64 instead.int64longint/long uint32Uses variable-length encoding.uint32intint/long uint64Uses variable-length encoding.uint64longint/long sint32Uses variable-length encoding. Signed int value. These more efficiently encode negative numbers than regular int32s.int32intint sint64Uses variable-length encoding. Signed int value. These more efficiently encode negative numbers than regular int64s.int64longint/long fixed32Always four bytes. More efficient than uint32 if values are often greater than 2^28.uint32intint fixed64Always eight bytes. More efficient than uint64 if values are often greater than 2^56.uint64longint/long sfixed32Always four bytes.int32intint sfixed64Always eight bytes.int64longint/long boolboolbooleanboolean stringA string must always contain UTF-8 encoded or 7-bit ASCII text.stringStringstr/unicode bytesMay contain any arbitrary sequence of bytes.stringByteStringstr  doubledoubledoublefloat  double  double  "},"30":{"url":"/serving/main/en/reference/modules#secretflow-serving-lib","type":"fragment","title":"secretflow_serving_lib","content":"\nsecretflow_serving_lib package\n\nSubmodules\nsecretflow_serving_lib.api module\nsecretflow_serving_lib.attr_pb2 module\nsecretflow_serving_lib.bundle_pb2 module\nsecretflow_serving_lib.compute_trace_pb2 module\nsecretflow_serving_lib.data_type_pb2 module\nsecretflow_serving_lib.feature_pb2 module\nsecretflow_serving_lib.graph_builder module\nsecretflow_serving_lib.graph_pb2 module\nsecretflow_serving_lib.link_function_pb2 module\nsecretflow_serving_lib.op_pb2 module\nsecretflow_serving_lib.version module\nModule contents\n\n\n \nsecretflow_serving_lib package\n\nSubmodules\nsecretflow_serving_lib.api module\nsecretflow_serving_lib.attr_pb2 module\nsecretflow_serving_lib.bundle_pb2 module\nsecretflow_serving_lib.compute_trace_pb2 module\nsecretflow_serving_lib.data_type_pb2 module\nsecretflow_serving_lib.feature_pb2 module\nsecretflow_serving_lib.graph_builder module\nsecretflow_serving_lib.graph_pb2 module\nsecretflow_serving_lib.link_function_pb2 module\nsecretflow_serving_lib.op_pb2 module\nsecretflow_serving_lib.version module\nModule contents\n\n\n secretflow_serving_lib package\n\nSubmodules\nsecretflow_serving_lib.api module\nsecretflow_serving_lib.attr_pb2 module\nsecretflow_serving_lib.bundle_pb2 module\nsecretflow_serving_lib.compute_trace_pb2 module\nsecretflow_serving_lib.data_type_pb2 module\nsecretflow_serving_lib.feature_pb2 module\nsecretflow_serving_lib.graph_builder module\nsecretflow_serving_lib.graph_pb2 module\nsecretflow_serving_lib.link_function_pb2 module\nsecretflow_serving_lib.op_pb2 module\nsecretflow_serving_lib.version module\nModule contents\n\n secretflow_serving_lib package \nSubmodules\nsecretflow_serving_lib.api module\nsecretflow_serving_lib.attr_pb2 module\nsecretflow_serving_lib.bundle_pb2 module\nsecretflow_serving_lib.compute_trace_pb2 module\nsecretflow_serving_lib.data_type_pb2 module\nsecretflow_serving_lib.feature_pb2 module\nsecretflow_serving_lib.graph_builder module\nsecretflow_serving_lib.graph_pb2 module\nsecretflow_serving_lib.link_function_pb2 module\nsecretflow_serving_lib.op_pb2 module\nsecretflow_serving_lib.version module\nModule contents\n Submodules Submodules secretflow_serving_lib.api module secretflow_serving_lib.api module secretflow_serving_lib.attr_pb2 module secretflow_serving_lib.attr_pb2 module secretflow_serving_lib.bundle_pb2 module secretflow_serving_lib.bundle_pb2 module secretflow_serving_lib.compute_trace_pb2 module secretflow_serving_lib.compute_trace_pb2 module secretflow_serving_lib.data_type_pb2 module secretflow_serving_lib.data_type_pb2 module secretflow_serving_lib.feature_pb2 module secretflow_serving_lib.feature_pb2 module secretflow_serving_lib.graph_builder module secretflow_serving_lib.graph_builder module secretflow_serving_lib.graph_pb2 module secretflow_serving_lib.graph_pb2 module secretflow_serving_lib.link_function_pb2 module secretflow_serving_lib.link_function_pb2 module secretflow_serving_lib.op_pb2 module secretflow_serving_lib.op_pb2 module secretflow_serving_lib.version module secretflow_serving_lib.version module Module contents Module contents "},"31":{"url":"/serving/main/en/reference/model#secretflow-serving-model","type":"fragment","title":"SecretFlow-Serving Model","content":""},"32":{"url":"/serving/main/en/reference/model#table-of-contents","type":"fragment","title":"SecretFlow-Serving Model - Table of Contents","content":"\nServices\nMessages\n\nAttrDef\nAttrValue\nBoolList\nBytesList\nDoubleList\nFloatList\nInt32List\nInt64List\nStringList\nIoDef\nOpDef\nOpTag\nExecutionDef\nGraphDef\nGraphView\nHeConfig\nHeInfo\nNodeDef\nNodeDef.AttrValuesEntry\nNodeView\nRuntimeConfig\nModelBundle\nModelInfo\nModelManifest\nComputeTrace\nFunctionInput\nFunctionOutput\nFunctionTrace\nScalar\nComputeTrace\nFunctionInput\nFunctionOutput\nFunctionTrace\nScalar\n\n\nEnums\n\nAttrType\nDispatchType\nFileFormatType\nDataType\nExtendFunctionName\nExtendFunctionName\n\n\nScalar Value Types\n Services Messages\n\nAttrDef\nAttrValue\nBoolList\nBytesList\nDoubleList\nFloatList\nInt32List\nInt64List\nStringList\nIoDef\nOpDef\nOpTag\nExecutionDef\nGraphDef\nGraphView\nHeConfig\nHeInfo\nNodeDef\nNodeDef.AttrValuesEntry\nNodeView\nRuntimeConfig\nModelBundle\nModelInfo\nModelManifest\nComputeTrace\nFunctionInput\nFunctionOutput\nFunctionTrace\nScalar\nComputeTrace\nFunctionInput\nFunctionOutput\nFunctionTrace\nScalar\n\n \nAttrDef\nAttrValue\nBoolList\nBytesList\nDoubleList\nFloatList\nInt32List\nInt64List\nStringList\nIoDef\nOpDef\nOpTag\nExecutionDef\nGraphDef\nGraphView\nHeConfig\nHeInfo\nNodeDef\nNodeDef.AttrValuesEntry\nNodeView\nRuntimeConfig\nModelBundle\nModelInfo\nModelManifest\nComputeTrace\nFunctionInput\nFunctionOutput\nFunctionTrace\nScalar\nComputeTrace\nFunctionInput\nFunctionOutput\nFunctionTrace\nScalar\n AttrDef AttrDef AttrValue AttrValue BoolList BoolList BytesList BytesList DoubleList DoubleList FloatList FloatList Int32List Int32List Int64List Int64List StringList StringList IoDef IoDef OpDef OpDef OpTag OpTag ExecutionDef ExecutionDef GraphDef GraphDef GraphView GraphView HeConfig HeConfig HeInfo HeInfo NodeDef NodeDef NodeDef.AttrValuesEntry NodeDef.AttrValuesEntry NodeView NodeView RuntimeConfig RuntimeConfig ModelBundle ModelBundle ModelInfo ModelInfo ModelManifest ModelManifest ComputeTrace ComputeTrace FunctionInput FunctionInput FunctionOutput FunctionOutput FunctionTrace FunctionTrace Scalar Scalar ComputeTrace ComputeTrace FunctionInput FunctionInput FunctionOutput FunctionOutput FunctionTrace FunctionTrace Scalar Scalar Enums\n\nAttrType\nDispatchType\nFileFormatType\nDataType\nExtendFunctionName\nExtendFunctionName\n\n \nAttrType\nDispatchType\nFileFormatType\nDataType\nExtendFunctionName\nExtendFunctionName\n AttrType AttrType DispatchType DispatchType FileFormatType FileFormatType DataType DataType ExtendFunctionName ExtendFunctionName ExtendFunctionName ExtendFunctionName Scalar Value Types Scalar Value Types  "},"33":{"url":"/serving/main/en/reference/model#messages","type":"fragment","title":"SecretFlow-Serving Model - Messages","content":""},"34":{"url":"/serving/main/en/reference/model#attrdef","type":"fragment","title":"SecretFlow-Serving Model - AttrDef","content":"The definition of an attribute. FieldTypeDescriptionname stringMust be unique among all attr of the operator.desc stringDescription of the attributetype AttrTypenoneis_optional boolIf True, when AttrValue is not provided or is_na, default_value would be used. Else, AttrValue must be provided.default_value AttrValueA reasonable default for this attribute if it’s optional and the user does not supply a value. If not, the user must supply a value. FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description name stringMust be unique among all attr of the operator.desc stringDescription of the attributetype AttrTypenoneis_optional boolIf True, when AttrValue is not provided or is_na, default_value would be used. Else, AttrValue must be provided.default_value AttrValueA reasonable default for this attribute if it’s optional and the user does not supply a value. If not, the user must supply a value. name stringMust be unique among all attr of the operator. name name  string  string  string  string Must be unique among all attr of the operator. Must be unique among all attr of the operator. desc stringDescription of the attribute desc desc  string  string  string  string Description of the attribute Description of the attribute type AttrTypenone type type  AttrType  AttrType  AttrType none none is_optional boolIf True, when AttrValue is not provided or is_na, default_value would be used. Else, AttrValue must be provided. is_optional is_optional  bool  bool  bool  bool If True, when AttrValue is not provided or is_na, default_value would be used. Else, AttrValue must be provided. If True, when AttrValue is not provided or is_na, default_value would be used. Else, AttrValue must be provided. default_value AttrValueA reasonable default for this attribute if it’s optional and the user does not supply a value. If not, the user must supply a value. default_value default_value  AttrValue  AttrValue  AttrValue A reasonable default for this attribute if it’s optional and the user does not supply a value. If not, the user must supply a value. A reasonable default for this attribute if it’s optional and the user does not supply a value. If not, the user must supply a value.  "},"35":{"url":"/serving/main/en/reference/model#attrvalue","type":"fragment","title":"SecretFlow-Serving Model - AttrValue","content":"The value of an attribute FieldTypeDescriptiononeof value.i32 int32INToneof value.i64 int64noneoneof value.f floatFLOAToneof value.d doublenoneoneof value.s stringSTRINGoneof value.b boolBOOLoneof value.by bytesBYTESoneof value.i32s Int32ListINTSoneof value.i64s Int64Listnoneoneof value.fs FloatListFLOATSoneof value.ds DoubleListnoneoneof value.ss StringListSTRINGSoneof value.bs BoolListBOOLSoneof value.bys BytesListBYTESS FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description oneof value.i32 int32INToneof value.i64 int64noneoneof value.f floatFLOAToneof value.d doublenoneoneof value.s stringSTRINGoneof value.b boolBOOLoneof value.by bytesBYTESoneof value.i32s Int32ListINTSoneof value.i64s Int64Listnoneoneof value.fs FloatListFLOATSoneof value.ds DoubleListnoneoneof value.ss StringListSTRINGSoneof value.bs BoolListBOOLSoneof value.bys BytesListBYTESS oneof value.i32 int32INT oneof value.i32 oneof value.i32 oneof oneof  int32  int32  int32  int32 INT INT oneof value.i64 int64none oneof value.i64 oneof value.i64 oneof oneof  int64  int64  int64  int64 none none oneof value.f floatFLOAT oneof value.f oneof value.f oneof oneof  float  float  float  float FLOAT FLOAT oneof value.d doublenone oneof value.d oneof value.d oneof oneof  double  double  double  double none none oneof value.s stringSTRING oneof value.s oneof value.s oneof oneof  string  string  string  string STRING STRING oneof value.b boolBOOL oneof value.b oneof value.b oneof oneof  bool  bool  bool  bool BOOL BOOL oneof value.by bytesBYTES oneof value.by oneof value.by oneof oneof value.by  bytes  bytes  bytes  bytes BYTES BYTES oneof value.i32s Int32ListINTS oneof value.i32s oneof value.i32s oneof oneof  Int32List  Int32List  Int32List INTS INTS oneof value.i64s Int64Listnone oneof value.i64s oneof value.i64s oneof oneof  Int64List  Int64List  Int64List none none oneof value.fs FloatListFLOATS oneof value.fs oneof value.fs oneof oneof  FloatList  FloatList  FloatList FLOATS FLOATS oneof value.ds DoubleListnone oneof value.ds oneof value.ds oneof oneof  DoubleList  DoubleList  DoubleList none none oneof value.ss StringListSTRINGS oneof value.ss oneof value.ss oneof oneof  StringList  StringList  StringList STRINGS STRINGS oneof value.bs BoolListBOOLS oneof value.bs oneof value.bs oneof oneof value.bs  BoolList  BoolList  BoolList BOOLS BOOLS oneof value.bys BytesListBYTESS oneof value.bys oneof value.bys oneof oneof  BytesList  BytesList  BytesList BYTESS BYTESS  "},"36":{"url":"/serving/main/en/reference/model#boollist","type":"fragment","title":"SecretFlow-Serving Model - BoolList","content":"FieldTypeDescriptiondatarepeated boolnone FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description datarepeated boolnone datarepeated boolnone data data repeated bool repeated bool repeated bool repeated bool none none  "},"37":{"url":"/serving/main/en/reference/model#byteslist","type":"fragment","title":"SecretFlow-Serving Model - BytesList","content":"FieldTypeDescriptiondatarepeated bytesnone FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description datarepeated bytesnone datarepeated bytesnone data data repeated bytes repeated bytes repeated bytes repeated bytes none none  "},"38":{"url":"/serving/main/en/reference/model#doublelist","type":"fragment","title":"SecretFlow-Serving Model - DoubleList","content":"FieldTypeDescriptiondatarepeated doublenone FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description datarepeated doublenone datarepeated doublenone data data repeated double repeated double repeated double repeated double none none  "},"39":{"url":"/serving/main/en/reference/model#floatlist","type":"fragment","title":"SecretFlow-Serving Model - FloatList","content":"FieldTypeDescriptiondatarepeated floatnone FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description datarepeated floatnone datarepeated floatnone data data repeated float repeated float repeated float repeated float none none  "},"40":{"url":"/serving/main/en/reference/model#int32list","type":"fragment","title":"SecretFlow-Serving Model - Int32List","content":"FieldTypeDescriptiondatarepeated int32none FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description datarepeated int32none datarepeated int32none data data repeated int32 repeated int32 repeated int32 repeated int32 none none  "},"41":{"url":"/serving/main/en/reference/model#int64list","type":"fragment","title":"SecretFlow-Serving Model - Int64List","content":"FieldTypeDescriptiondatarepeated int64none FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description datarepeated int64none datarepeated int64none data data repeated int64 repeated int64 repeated int64 repeated int64 none none  "},"42":{"url":"/serving/main/en/reference/model#stringlist","type":"fragment","title":"SecretFlow-Serving Model - StringList","content":"FieldTypeDescriptiondatarepeated stringnone FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description datarepeated stringnone datarepeated stringnone data data repeated string repeated string repeated string repeated string none none  "},"43":{"url":"/serving/main/en/reference/model#iodef","type":"fragment","title":"SecretFlow-Serving Model - IoDef","content":"Define an input/output for operator. FieldTypeDescriptionname stringMust be unique among all IOs of the operator.desc stringDescription of the IO FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description name stringMust be unique among all IOs of the operator.desc stringDescription of the IO name stringMust be unique among all IOs of the operator. name name  string  string  string  string Must be unique among all IOs of the operator. Must be unique among all IOs of the operator. desc stringDescription of the IO desc desc  string  string  string  string Description of the IO Description of the IO  "},"44":{"url":"/serving/main/en/reference/model#opdef","type":"fragment","title":"SecretFlow-Serving Model - OpDef","content":"The definition of a operator. FieldTypeDescriptionname stringUnique name of the opdesc stringDescription of the opversion stringVersion of the optag OpTagnoneinputsrepeated IoDefIf tag variable_inputs is true, the op should have only one IoDef for inputs, referring to the parameter list.output IoDefnoneattrsrepeated AttrDefnone FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description name stringUnique name of the opdesc stringDescription of the opversion stringVersion of the optag OpTagnoneinputsrepeated IoDefIf tag variable_inputs is true, the op should have only one IoDef for inputs, referring to the parameter list.output IoDefnoneattrsrepeated AttrDefnone name stringUnique name of the op name name  string  string  string  string Unique name of the op Unique name of the op desc stringDescription of the op desc desc  string  string  string  string Description of the op Description of the op version stringVersion of the op version version  string  string  string  string Version of the op Version of the op tag OpTagnone tag tag  OpTag  OpTag  OpTag none none inputsrepeated IoDefIf tag variable_inputs is true, the op should have only one IoDef for inputs, referring to the parameter list. inputs inputs repeated IoDef repeated IoDef repeated IoDef If tag variable_inputs is true, the op should have only one IoDef for inputs, referring to the parameter list. If tag variable_inputs is true, the op should have only one IoDef for inputs, referring to the parameter list. IoDef output IoDefnone output output  IoDef  IoDef  IoDef none none attrsrepeated AttrDefnone attrs attrs repeated AttrDef repeated AttrDef repeated AttrDef none none  "},"45":{"url":"/serving/main/en/reference/model#optag","type":"fragment","title":"SecretFlow-Serving Model - OpTag","content":"Representation operator property FieldTypeDescriptionreturnable boolThe operator’s output can be the final resultmergeable boolThe operator accept the output of operators with different participants and will somehow merge them.session_run boolThe operator needs to be executed in session. TODO: not supported yet.variable_inputs boolWhether this op has variable input argument. default false. FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description returnable boolThe operator’s output can be the final resultmergeable boolThe operator accept the output of operators with different participants and will somehow merge them.session_run boolThe operator needs to be executed in session. TODO: not supported yet.variable_inputs boolWhether this op has variable input argument. default false. returnable boolThe operator’s output can be the final result returnable returnable  bool  bool  bool  bool The operator’s output can be the final result The operator’s output can be the final result mergeable boolThe operator accept the output of operators with different participants and will somehow merge them. mergeable mergeable  bool  bool  bool  bool The operator accept the output of operators with different participants and will somehow merge them. The operator accept the output of operators with different participants and will somehow merge them. session_run boolThe operator needs to be executed in session. TODO: not supported yet. session_run session_run  bool  bool  bool  bool The operator needs to be executed in session. TODO: not supported yet. The operator needs to be executed in session. TODO: not supported yet. variable_inputs boolWhether this op has variable input argument. default false. variable_inputs variable_inputs  bool  bool  bool  bool Whether this op has variable input argument. default false. Whether this op has variable input argument. default false. false  "},"46":{"url":"/serving/main/en/reference/model#executiondef","type":"fragment","title":"SecretFlow-Serving Model - ExecutionDef","content":"The definition of a execution. A execution represents a subgraph within a\ngraph that can be scheduled for execution in a specified pattern. FieldTypeDescriptionnodesrepeated stringRepresents the nodes contained in this execution. Note that these node names should be findable and unique within the node definitions. One node can only exist in one execution and must exist in one.config RuntimeConfigThe runtime config of the execution. FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description nodesrepeated stringRepresents the nodes contained in this execution. Note that these node names should be findable and unique within the node definitions. One node can only exist in one execution and must exist in one.config RuntimeConfigThe runtime config of the execution. nodesrepeated stringRepresents the nodes contained in this execution. Note that these node names should be findable and unique within the node definitions. One node can only exist in one execution and must exist in one. nodes nodes repeated string repeated string repeated string repeated string Represents the nodes contained in this execution. Note that these node names should be findable and unique within the node definitions. One node can only exist in one execution and must exist in one. Represents the nodes contained in this execution. Note that these node names should be findable and unique within the node definitions. One node can only exist in one execution and must exist in one. config RuntimeConfigThe runtime config of the execution. config config  RuntimeConfig  RuntimeConfig  RuntimeConfig The runtime config of the execution. The runtime config of the execution.  "},"47":{"url":"/serving/main/en/reference/model#graphdef","type":"fragment","title":"SecretFlow-Serving Model - GraphDef","content":"The definition of a Graph. A graph consists of a set of nodes carrying data\nand a set of executions that describes the scheduling of the graph. FieldTypeDescriptionversion stringVersion of the graphnode_listrepeated NodeDefnoneexecution_listrepeated ExecutionDefnonehe_config HeConfignoneparty_num int32none FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description version stringVersion of the graphnode_listrepeated NodeDefnoneexecution_listrepeated ExecutionDefnonehe_config HeConfignoneparty_num int32none version stringVersion of the graph version version  string  string  string  string Version of the graph Version of the graph node_listrepeated NodeDefnone node_list node_list repeated NodeDef repeated NodeDef repeated NodeDef none none execution_listrepeated ExecutionDefnone execution_list execution_list repeated ExecutionDef repeated ExecutionDef repeated ExecutionDef none none he_config HeConfignone he_config he_config  HeConfig  HeConfig  HeConfig none none party_num int32none party_num party_num  int32  int32  int32  int32 none none  "},"48":{"url":"/serving/main/en/reference/model#graphview","type":"fragment","title":"SecretFlow-Serving Model - GraphView","content":"The view of a graph is used to display the structure of the graph, containing\nonly structural information and excluding the data components. FieldTypeDescriptionversion stringVersion of the graphnode_listrepeated NodeViewnoneexecution_listrepeated ExecutionDefnonehe_info HeInfononeparty_num int32none FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description version stringVersion of the graphnode_listrepeated NodeViewnoneexecution_listrepeated ExecutionDefnonehe_info HeInfononeparty_num int32none version stringVersion of the graph version version  string  string  string  string Version of the graph Version of the graph node_listrepeated NodeViewnone node_list node_list repeated NodeView repeated NodeView repeated NodeView none none execution_listrepeated ExecutionDefnone execution_list execution_list repeated ExecutionDef repeated ExecutionDef repeated ExecutionDef none none he_info HeInfonone he_info he_info  HeInfo  HeInfo  HeInfo none none party_num int32none party_num party_num  int32  int32  int32  int32 none none  "},"49":{"url":"/serving/main/en/reference/model#heconfig","type":"fragment","title":"SecretFlow-Serving Model - HeConfig","content":"The config for HE compute. FieldTypeDescriptionpk_buf bytesSerialized public key bytessk_buf bytesSerialized secret key bytesencode_scale int64Encode scale for data FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description pk_buf bytesSerialized public key bytessk_buf bytesSerialized secret key bytesencode_scale int64Encode scale for data pk_buf bytesSerialized public key bytes pk_buf pk_buf  bytes  bytes  bytes  bytes Serialized public key bytes Serialized public key bytes sk_buf bytesSerialized secret key bytes sk_buf sk_buf  bytes  bytes  bytes  bytes Serialized secret key bytes Serialized secret key bytes encode_scale int64Encode scale for data encode_scale encode_scale  int64  int64  int64  int64 Encode scale for data Encode scale for data  "},"50":{"url":"/serving/main/en/reference/model#heinfo","type":"fragment","title":"SecretFlow-Serving Model - HeInfo","content":"The public info for HE compute. FieldTypeDescriptionpk_buf bytesSerialized public key bytesencode_scale int64Encode scale for data FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description pk_buf bytesSerialized public key bytesencode_scale int64Encode scale for data pk_buf bytesSerialized public key bytes pk_buf pk_buf  bytes  bytes  bytes  bytes Serialized public key bytes Serialized public key bytes encode_scale int64Encode scale for data encode_scale encode_scale  int64  int64  int64  int64 Encode scale for data Encode scale for data  "},"51":{"url":"/serving/main/en/reference/model#nodedef","type":"fragment","title":"SecretFlow-Serving Model - NodeDef","content":"The definition of a node. FieldTypeDescriptionname stringMust be unique among all nodes of the graph.op stringThe operator name.parentsrepeated stringThe parent node names of the node. The order of the parent nodes should match the order of the inputs of the node.attr_valuesmap NodeDef.AttrValuesEntryThe attribute values configed in the node. Note that this should include all attrs defined in the corresponding OpDef.op_version stringThe operator version. FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description name stringMust be unique among all nodes of the graph.op stringThe operator name.parentsrepeated stringThe parent node names of the node. The order of the parent nodes should match the order of the inputs of the node.attr_valuesmap NodeDef.AttrValuesEntryThe attribute values configed in the node. Note that this should include all attrs defined in the corresponding OpDef.op_version stringThe operator version. name stringMust be unique among all nodes of the graph. name name  string  string  string  string Must be unique among all nodes of the graph. Must be unique among all nodes of the graph. op stringThe operator name. op op  string  string  string  string The operator name. The operator name. parentsrepeated stringThe parent node names of the node. The order of the parent nodes should match the order of the inputs of the node. parents parents repeated string repeated string repeated string repeated string The parent node names of the node. The order of the parent nodes should match the order of the inputs of the node. The parent node names of the node. The order of the parent nodes should match the order of the inputs of the node. attr_valuesmap NodeDef.AttrValuesEntryThe attribute values configed in the node. Note that this should include all attrs defined in the corresponding OpDef. attr_values attr_values map NodeDef.AttrValuesEntry map NodeDef.AttrValuesEntry map NodeDef.AttrValuesEntry map NodeDef.AttrValuesEntry The attribute values configed in the node. Note that this should include all attrs defined in the corresponding OpDef. The attribute values configed in the node. Note that this should include all attrs defined in the corresponding OpDef. op_version stringThe operator version. op_version op_version  string  string  string  string The operator version. The operator version.  "},"52":{"url":"/serving/main/en/reference/model#nodedef-attrvaluesentry","type":"fragment","title":"SecretFlow-Serving Model - NodeDef.AttrValuesEntry","content":"FieldTypeDescriptionkey stringnonevalue op.AttrValuenone FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description key stringnonevalue op.AttrValuenone key stringnone key key  string  string  string  string none none value op.AttrValuenone value value  op.AttrValue  op.AttrValue  op.AttrValue none none  "},"53":{"url":"/serving/main/en/reference/model#nodeview","type":"fragment","title":"SecretFlow-Serving Model - NodeView","content":"The view of a node, which could be public to other parties FieldTypeDescriptionname stringMust be unique among all nodes of the graph.op stringThe operator name.parentsrepeated stringThe parent node names of the node. The order of the parent nodes should match the order of the inputs of the node.op_version stringThe operator version. FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description name stringMust be unique among all nodes of the graph.op stringThe operator name.parentsrepeated stringThe parent node names of the node. The order of the parent nodes should match the order of the inputs of the node.op_version stringThe operator version. name stringMust be unique among all nodes of the graph. name name  string  string  string  string Must be unique among all nodes of the graph. Must be unique among all nodes of the graph. op stringThe operator name. op op  string  string  string  string The operator name. The operator name. parentsrepeated stringThe parent node names of the node. The order of the parent nodes should match the order of the inputs of the node. parents parents repeated string repeated string repeated string repeated string The parent node names of the node. The order of the parent nodes should match the order of the inputs of the node. The parent node names of the node. The order of the parent nodes should match the order of the inputs of the node. op_version stringThe operator version. op_version op_version  string  string  string  string The operator version. The operator version.  "},"54":{"url":"/serving/main/en/reference/model#runtimeconfig","type":"fragment","title":"SecretFlow-Serving Model - RuntimeConfig","content":"The runtime config of the execution. FieldTypeDescriptiondispatch_type DispatchTypeThe dispatch type of the execution.session_run boolThe execution need run in session(stateful) TODO: not support yet.specific_flag boolif dispatch_type is DP_SPECIFIED, only one party should be true FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description dispatch_type DispatchTypeThe dispatch type of the execution.session_run boolThe execution need run in session(stateful) TODO: not support yet.specific_flag boolif dispatch_type is DP_SPECIFIED, only one party should be true dispatch_type DispatchTypeThe dispatch type of the execution. dispatch_type dispatch_type  DispatchType  DispatchType  DispatchType The dispatch type of the execution. The dispatch type of the execution. session_run boolThe execution need run in session(stateful) TODO: not support yet. session_run session_run  bool  bool  bool  bool The execution need run in session(stateful) TODO: not support yet. The execution need run in session(stateful) TODO: not support yet. specific_flag boolif dispatch_type is DP_SPECIFIED, only one party should be true specific_flag specific_flag  bool  bool  bool  bool if dispatch_type is DP_SPECIFIED, only one party should be true if dispatch_type is DP_SPECIFIED, only one party should be true  "},"55":{"url":"/serving/main/en/reference/model#modelbundle","type":"fragment","title":"SecretFlow-Serving Model - ModelBundle","content":"Represents an exported secertflow model. It consists of a GraphDef and extra\nmetadata required for serving. FieldTypeDescriptionname stringnonedesc stringnonegraph GraphDefnone FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description name stringnonedesc stringnonegraph GraphDefnone name stringnone name name  string  string  string  string none none desc stringnone desc desc  string  string  string  string none none graph GraphDefnone graph graph  GraphDef  GraphDef  GraphDef none none  "},"56":{"url":"/serving/main/en/reference/model#modelinfo","type":"fragment","title":"SecretFlow-Serving Model - ModelInfo","content":"Represents a secertflow model without private data. FieldTypeDescriptionname stringnonedesc stringnonegraph_view GraphViewnone FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description name stringnonedesc stringnonegraph_view GraphViewnone name stringnone name name  string  string  string  string none none desc stringnone desc desc  string  string  string  string none none graph_view GraphViewnone graph_view graph_view  GraphView  GraphView  GraphView none none  "},"57":{"url":"/serving/main/en/reference/model#modelmanifest","type":"fragment","title":"SecretFlow-Serving Model - ModelManifest","content":"The manifest of the model package. Package format is as follows:\nmodel.tar.gz\n├ MANIFIEST\n├ model_file\n└ some op meta files\nMANIFIEST should be json format FieldTypeDescriptionbundle_path stringModel bundle file path.bundle_format FileFormatTypeThe format type of the model bundle file. FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description bundle_path stringModel bundle file path.bundle_format FileFormatTypeThe format type of the model bundle file. bundle_path stringModel bundle file path. bundle_path bundle_path  string  string  string  string Model bundle file path. Model bundle file path. bundle_format FileFormatTypeThe format type of the model bundle file. bundle_format bundle_format  FileFormatType  FileFormatType  FileFormatType The format type of the model bundle file. The format type of the model bundle file.  "},"58":{"url":"/serving/main/en/reference/model#computetrace","type":"fragment","title":"SecretFlow-Serving Model - ComputeTrace","content":"FieldTypeDescriptionname stringThe name of this Compute.func_tracesrepeated FunctionTracenone FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description name stringThe name of this Compute.func_tracesrepeated FunctionTracenone name stringThe name of this Compute. name name  string  string  string  string The name of this Compute. The name of this Compute. func_tracesrepeated FunctionTracenone func_traces func_traces repeated FunctionTrace repeated FunctionTrace repeated FunctionTrace none none  "},"59":{"url":"/serving/main/en/reference/model#functioninput","type":"fragment","title":"SecretFlow-Serving Model - FunctionInput","content":"FieldTypeDescriptiononeof value.data_id int32‘0’ means root input dataoneof value.custom_scalar Scalarnone FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description oneof value.data_id int32‘0’ means root input dataoneof value.custom_scalar Scalarnone oneof value.data_id int32‘0’ means root input data oneof value.data_id oneof value.data_id oneof oneof  int32  int32  int32  int32 ‘0’ means root input data ‘0’ means root input data oneof value.custom_scalar Scalarnone oneof value.custom_scalar oneof value.custom_scalar oneof oneof  Scalar  Scalar  Scalar none none  "},"60":{"url":"/serving/main/en/reference/model#functionoutput","type":"fragment","title":"SecretFlow-Serving Model - FunctionOutput","content":"FieldTypeDescriptiondata_id int32none FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description data_id int32none data_id int32none data_id data_id  int32  int32  int32  int32 none none  "},"61":{"url":"/serving/main/en/reference/model#functiontrace","type":"fragment","title":"SecretFlow-Serving Model - FunctionTrace","content":"FieldTypeDescriptionname stringThe Function name.option_bytes bytesThe serialized function options.inputsrepeated FunctionInputInputs of this function.output FunctionOutputOutput of this function. FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description name stringThe Function name.option_bytes bytesThe serialized function options.inputsrepeated FunctionInputInputs of this function.output FunctionOutputOutput of this function. name stringThe Function name. name name  string  string  string  string The Function name. The Function name. option_bytes bytesThe serialized function options. option_bytes option_bytes  bytes  bytes  bytes  bytes The serialized function options. The serialized function options. inputsrepeated FunctionInputInputs of this function. inputs inputs repeated FunctionInput repeated FunctionInput repeated FunctionInput Inputs of this function. Inputs of this function. output FunctionOutputOutput of this function. output output  FunctionOutput  FunctionOutput  FunctionOutput Output of this function. Output of this function.  "},"62":{"url":"/serving/main/en/reference/model#scalar","type":"fragment","title":"SecretFlow-Serving Model - Scalar","content":"Represents a single value with a specific data type. FieldTypeDescriptiononeof value.i8 int32INT8.oneof value.ui8 int32UINT8oneof value.i16 int32INT16oneof value.ui16 int32UINT16oneof value.i32 int32INT32oneof value.ui32 uint32UINT32oneof value.i64 int64INT64oneof value.ui64 uint64UINT64oneof value.f floatFLOAToneof value.d doubleDOUBLEoneof value.s stringSTRINGoneof value.b boolBOOL FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description oneof value.i8 int32INT8.oneof value.ui8 int32UINT8oneof value.i16 int32INT16oneof value.ui16 int32UINT16oneof value.i32 int32INT32oneof value.ui32 uint32UINT32oneof value.i64 int64INT64oneof value.ui64 uint64UINT64oneof value.f floatFLOAToneof value.d doubleDOUBLEoneof value.s stringSTRINGoneof value.b boolBOOL oneof value.i8 int32INT8. oneof value.i8 oneof value.i8 oneof oneof  int32  int32  int32  int32 INT8. INT8. oneof value.ui8 int32UINT8 oneof value.ui8 oneof value.ui8 oneof oneof  int32  int32  int32  int32 UINT8 UINT8 oneof value.i16 int32INT16 oneof value.i16 oneof value.i16 oneof oneof  int32  int32  int32  int32 INT16 INT16 oneof value.ui16 int32UINT16 oneof value.ui16 oneof value.ui16 oneof oneof  int32  int32  int32  int32 UINT16 UINT16 oneof value.i32 int32INT32 oneof value.i32 oneof value.i32 oneof oneof  int32  int32  int32  int32 INT32 INT32 oneof value.ui32 uint32UINT32 oneof value.ui32 oneof value.ui32 oneof oneof  uint32  uint32  uint32  uint32 UINT32 UINT32 oneof value.i64 int64INT64 oneof value.i64 oneof value.i64 oneof oneof  int64  int64  int64  int64 INT64 INT64 oneof value.ui64 uint64UINT64 oneof value.ui64 oneof value.ui64 oneof oneof  uint64  uint64  uint64  uint64 UINT64 UINT64 oneof value.f floatFLOAT oneof value.f oneof value.f oneof oneof  float  float  float  float FLOAT FLOAT oneof value.d doubleDOUBLE oneof value.d oneof value.d oneof oneof  double  double  double  double DOUBLE DOUBLE oneof value.s stringSTRING oneof value.s oneof value.s oneof oneof  string  string  string  string STRING STRING oneof value.b boolBOOL oneof value.b oneof value.b oneof oneof  bool  bool  bool  bool BOOL BOOL  "},"63":{"url":"/serving/main/en/reference/model#id1","type":"fragment","title":"SecretFlow-Serving Model - ComputeTrace","content":"FieldTypeDescriptionname stringThe name of this Compute.func_tracesrepeated FunctionTracenone FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description name stringThe name of this Compute.func_tracesrepeated FunctionTracenone name stringThe name of this Compute. name name  string  string  string  string The name of this Compute. The name of this Compute. func_tracesrepeated FunctionTracenone func_traces func_traces repeated FunctionTrace repeated FunctionTrace repeated FunctionTrace none none  "},"64":{"url":"/serving/main/en/reference/model#id2","type":"fragment","title":"SecretFlow-Serving Model - FunctionInput","content":"FieldTypeDescriptiononeof value.data_id int32‘0’ means root input dataoneof value.custom_scalar Scalarnone FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description oneof value.data_id int32‘0’ means root input dataoneof value.custom_scalar Scalarnone oneof value.data_id int32‘0’ means root input data oneof value.data_id oneof value.data_id oneof oneof  int32  int32  int32  int32 ‘0’ means root input data ‘0’ means root input data oneof value.custom_scalar Scalarnone oneof value.custom_scalar oneof value.custom_scalar oneof oneof  Scalar  Scalar  Scalar none none  "},"65":{"url":"/serving/main/en/reference/model#id3","type":"fragment","title":"SecretFlow-Serving Model - FunctionOutput","content":"FieldTypeDescriptiondata_id int32none FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description data_id int32none data_id int32none data_id data_id  int32  int32  int32  int32 none none  "},"66":{"url":"/serving/main/en/reference/model#id4","type":"fragment","title":"SecretFlow-Serving Model - FunctionTrace","content":"FieldTypeDescriptionname stringThe Function name.option_bytes bytesThe serialized function options.inputsrepeated FunctionInputInputs of this function.output FunctionOutputOutput of this function. FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description name stringThe Function name.option_bytes bytesThe serialized function options.inputsrepeated FunctionInputInputs of this function.output FunctionOutputOutput of this function. name stringThe Function name. name name  string  string  string  string The Function name. The Function name. option_bytes bytesThe serialized function options. option_bytes option_bytes  bytes  bytes  bytes  bytes The serialized function options. The serialized function options. inputsrepeated FunctionInputInputs of this function. inputs inputs repeated FunctionInput repeated FunctionInput repeated FunctionInput Inputs of this function. Inputs of this function. output FunctionOutputOutput of this function. output output  FunctionOutput  FunctionOutput  FunctionOutput Output of this function. Output of this function.  "},"67":{"url":"/serving/main/en/reference/model#id5","type":"fragment","title":"SecretFlow-Serving Model - Scalar","content":"Represents a single value with a specific data type. FieldTypeDescriptiononeof value.i8 int32INT8.oneof value.ui8 int32UINT8oneof value.i16 int32INT16oneof value.ui16 int32UINT16oneof value.i32 int32INT32oneof value.ui32 uint32UINT32oneof value.i64 int64INT64oneof value.ui64 uint64UINT64oneof value.f floatFLOAToneof value.d doubleDOUBLEoneof value.s stringSTRINGoneof value.b boolBOOL FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description oneof value.i8 int32INT8.oneof value.ui8 int32UINT8oneof value.i16 int32INT16oneof value.ui16 int32UINT16oneof value.i32 int32INT32oneof value.ui32 uint32UINT32oneof value.i64 int64INT64oneof value.ui64 uint64UINT64oneof value.f floatFLOAToneof value.d doubleDOUBLEoneof value.s stringSTRINGoneof value.b boolBOOL oneof value.i8 int32INT8. oneof value.i8 oneof value.i8 oneof oneof  int32  int32  int32  int32 INT8. INT8. oneof value.ui8 int32UINT8 oneof value.ui8 oneof value.ui8 oneof oneof  int32  int32  int32  int32 UINT8 UINT8 oneof value.i16 int32INT16 oneof value.i16 oneof value.i16 oneof oneof  int32  int32  int32  int32 INT16 INT16 oneof value.ui16 int32UINT16 oneof value.ui16 oneof value.ui16 oneof oneof  int32  int32  int32  int32 UINT16 UINT16 oneof value.i32 int32INT32 oneof value.i32 oneof value.i32 oneof oneof  int32  int32  int32  int32 INT32 INT32 oneof value.ui32 uint32UINT32 oneof value.ui32 oneof value.ui32 oneof oneof  uint32  uint32  uint32  uint32 UINT32 UINT32 oneof value.i64 int64INT64 oneof value.i64 oneof value.i64 oneof oneof  int64  int64  int64  int64 INT64 INT64 oneof value.ui64 uint64UINT64 oneof value.ui64 oneof value.ui64 oneof oneof  uint64  uint64  uint64  uint64 UINT64 UINT64 oneof value.f floatFLOAT oneof value.f oneof value.f oneof oneof  float  float  float  float FLOAT FLOAT oneof value.d doubleDOUBLE oneof value.d oneof value.d oneof oneof  double  double  double  double DOUBLE DOUBLE oneof value.s stringSTRING oneof value.s oneof value.s oneof oneof  string  string  string  string STRING STRING oneof value.b boolBOOL oneof value.b oneof value.b oneof oneof  bool  bool  bool  bool BOOL BOOL  "},"68":{"url":"/serving/main/en/reference/model#enums","type":"fragment","title":"SecretFlow-Serving Model - Enums","content":""},"69":{"url":"/serving/main/en/reference/model#attrtype","type":"fragment","title":"SecretFlow-Serving Model - AttrType","content":"Supported attribute types. NameNumberDescriptionUNKNOWN_AT_TYPE0Placeholder for proto3 default value, do not use it.AT_INT321INT32AT_INT642INT64AT_FLOAT3FLOATAT_DOUBLE4DOUBLEAT_STRING5STRINGAT_BOOL6BOOLAT_BYTES7BYTESAT_INT32_LIST11INT32 LISTAT_INT64_LIST12INT64 LISTAT_FLOAT_LIST13FLOAT LISTAT_DOUBLE_LIST14DOUBLE LISTAT_STRING_LIST15STRING LISTAT_BOOL_LIST16BOOL LISTAT_BYTES_LIST17BYTES LIST NameNumberDescription NameNumberDescription Name Name Number Number Description Description UNKNOWN_AT_TYPE0Placeholder for proto3 default value, do not use it.AT_INT321INT32AT_INT642INT64AT_FLOAT3FLOATAT_DOUBLE4DOUBLEAT_STRING5STRINGAT_BOOL6BOOLAT_BYTES7BYTESAT_INT32_LIST11INT32 LISTAT_INT64_LIST12INT64 LISTAT_FLOAT_LIST13FLOAT LISTAT_DOUBLE_LIST14DOUBLE LISTAT_STRING_LIST15STRING LISTAT_BOOL_LIST16BOOL LISTAT_BYTES_LIST17BYTES LIST UNKNOWN_AT_TYPE0Placeholder for proto3 default value, do not use it. UNKNOWN_AT_TYPE UNKNOWN_AT_TYPE 0 0 Placeholder for proto3 default value, do not use it. Placeholder for proto3 default value, do not use it. AT_INT321INT32 AT_INT32 AT_INT32 1 1 INT32 INT32 AT_INT642INT64 AT_INT64 AT_INT64 2 2 INT64 INT64 AT_FLOAT3FLOAT AT_FLOAT AT_FLOAT 3 3 FLOAT FLOAT AT_DOUBLE4DOUBLE AT_DOUBLE AT_DOUBLE 4 4 DOUBLE DOUBLE AT_STRING5STRING AT_STRING AT_STRING 5 5 STRING STRING AT_BOOL6BOOL AT_BOOL AT_BOOL 6 6 BOOL BOOL AT_BYTES7BYTES AT_BYTES AT_BYTES 7 7 BYTES BYTES AT_INT32_LIST11INT32 LIST AT_INT32_LIST AT_INT32_LIST 11 11 INT32 LIST INT32 LIST AT_INT64_LIST12INT64 LIST AT_INT64_LIST AT_INT64_LIST 12 12 INT64 LIST INT64 LIST AT_FLOAT_LIST13FLOAT LIST AT_FLOAT_LIST AT_FLOAT_LIST 13 13 FLOAT LIST FLOAT LIST AT_DOUBLE_LIST14DOUBLE LIST AT_DOUBLE_LIST AT_DOUBLE_LIST 14 14 DOUBLE LIST DOUBLE LIST AT_STRING_LIST15STRING LIST AT_STRING_LIST AT_STRING_LIST 15 15 STRING LIST STRING LIST AT_BOOL_LIST16BOOL LIST AT_BOOL_LIST AT_BOOL_LIST 16 16 BOOL LIST BOOL LIST AT_BYTES_LIST17BYTES LIST AT_BYTES_LIST AT_BYTES_LIST 17 17 BYTES LIST BYTES LIST  "},"70":{"url":"/serving/main/en/reference/model#dispatchtype","type":"fragment","title":"SecretFlow-Serving Model - DispatchType","content":"Supported dispatch type NameNumberDescriptionUNKNOWN_DP_TYPE0Placeholder for proto3 default value, do not use it.DP_ALL1Dispatch all participants.DP_ANYONE2Dispatch any participant.DP_SPECIFIED3Dispatch specified participant.DP_SELF4Dispatch self.DP_PEER12For 2-parties, Dispatch peer participant. NameNumberDescription NameNumberDescription Name Name Number Number Description Description UNKNOWN_DP_TYPE0Placeholder for proto3 default value, do not use it.DP_ALL1Dispatch all participants.DP_ANYONE2Dispatch any participant.DP_SPECIFIED3Dispatch specified participant.DP_SELF4Dispatch self.DP_PEER12For 2-parties, Dispatch peer participant. UNKNOWN_DP_TYPE0Placeholder for proto3 default value, do not use it. UNKNOWN_DP_TYPE UNKNOWN_DP_TYPE 0 0 Placeholder for proto3 default value, do not use it. Placeholder for proto3 default value, do not use it. DP_ALL1Dispatch all participants. DP_ALL DP_ALL 1 1 Dispatch all participants. Dispatch all participants. DP_ANYONE2Dispatch any participant. DP_ANYONE DP_ANYONE 2 2 Dispatch any participant. Dispatch any participant. DP_SPECIFIED3Dispatch specified participant. DP_SPECIFIED DP_SPECIFIED 3 3 Dispatch specified participant. Dispatch specified participant. DP_SELF4Dispatch self. DP_SELF DP_SELF 4 4 Dispatch self. Dispatch self. DP_PEER12For 2-parties, Dispatch peer participant. DP_PEER DP_PEER 12 12 For 2-parties, Dispatch peer participant. For 2-parties, Dispatch peer participant.  "},"71":{"url":"/serving/main/en/reference/model#fileformattype","type":"fragment","title":"SecretFlow-Serving Model - FileFormatType","content":"Support model file format NameNumberDescriptionUNKNOWN_FF_TYPE0noneFF_PB1ProtobufFF_JSON2Json It is recommended to use protobuf’s official json serialization method to ensure compatibility NameNumberDescription NameNumberDescription Name Name Number Number Description Description UNKNOWN_FF_TYPE0noneFF_PB1ProtobufFF_JSON2Json It is recommended to use protobuf’s official json serialization method to ensure compatibility UNKNOWN_FF_TYPE0none UNKNOWN_FF_TYPE UNKNOWN_FF_TYPE 0 0 none none FF_PB1Protobuf FF_PB FF_PB 1 1 Protobuf Protobuf FF_JSON2Json It is recommended to use protobuf’s official json serialization method to ensure compatibility FF_JSON FF_JSON 2 2 Json It is recommended to use protobuf’s official json serialization method to ensure compatibility Json It is recommended to use protobuf’s official json serialization method to ensure compatibility  "},"72":{"url":"/serving/main/en/reference/model#datatype","type":"fragment","title":"SecretFlow-Serving Model - DataType","content":"Mapping arrow::DataType\nhttps://arrow.apache.org/docs/cpp/api/datatype.html. https://arrow.apache.org/docs/cpp/api/datatype.html NameNumberDescriptionUNKNOWN_DT_TYPE0Placeholder for proto3 default value, do not use it.DT_BOOL1Boolean as 1 bit, LSB bit-packed ordering.DT_UINT82Unsigned 8-bit little-endian integer.DT_INT83Signed 8-bit little-endian integer.DT_UINT164Unsigned 16-bit little-endian integer.DT_INT165Signed 16-bit little-endian integer.DT_UINT326Unsigned 32-bit little-endian integer.DT_INT327Signed 32-bit little-endian integer.DT_UINT648Unsigned 64-bit little-endian integer.DT_INT649Signed 64-bit little-endian integer.DT_FLOAT114-byte floating point valueDT_DOUBLE128-byte floating point valueDT_STRING13UTF8 variable-length string as ListDT_BINARY14Variable-length bytes (no guarantee of UTF8-ness) NameNumberDescription NameNumberDescription Name Name Number Number Description Description UNKNOWN_DT_TYPE0Placeholder for proto3 default value, do not use it.DT_BOOL1Boolean as 1 bit, LSB bit-packed ordering.DT_UINT82Unsigned 8-bit little-endian integer.DT_INT83Signed 8-bit little-endian integer.DT_UINT164Unsigned 16-bit little-endian integer.DT_INT165Signed 16-bit little-endian integer.DT_UINT326Unsigned 32-bit little-endian integer.DT_INT327Signed 32-bit little-endian integer.DT_UINT648Unsigned 64-bit little-endian integer.DT_INT649Signed 64-bit little-endian integer.DT_FLOAT114-byte floating point valueDT_DOUBLE128-byte floating point valueDT_STRING13UTF8 variable-length string as ListDT_BINARY14Variable-length bytes (no guarantee of UTF8-ness) UNKNOWN_DT_TYPE0Placeholder for proto3 default value, do not use it. UNKNOWN_DT_TYPE UNKNOWN_DT_TYPE 0 0 Placeholder for proto3 default value, do not use it. Placeholder for proto3 default value, do not use it. DT_BOOL1Boolean as 1 bit, LSB bit-packed ordering. DT_BOOL DT_BOOL 1 1 Boolean as 1 bit, LSB bit-packed ordering. Boolean as 1 bit, LSB bit-packed ordering. DT_UINT82Unsigned 8-bit little-endian integer. DT_UINT8 DT_UINT8 2 2 Unsigned 8-bit little-endian integer. Unsigned 8-bit little-endian integer. DT_INT83Signed 8-bit little-endian integer. DT_INT8 DT_INT8 3 3 Signed 8-bit little-endian integer. Signed 8-bit little-endian integer. DT_UINT164Unsigned 16-bit little-endian integer. DT_UINT16 DT_UINT16 4 4 Unsigned 16-bit little-endian integer. Unsigned 16-bit little-endian integer. DT_INT165Signed 16-bit little-endian integer. DT_INT16 DT_INT16 5 5 Signed 16-bit little-endian integer. Signed 16-bit little-endian integer. DT_UINT326Unsigned 32-bit little-endian integer. DT_UINT32 DT_UINT32 6 6 Unsigned 32-bit little-endian integer. Unsigned 32-bit little-endian integer. DT_INT327Signed 32-bit little-endian integer. DT_INT32 DT_INT32 7 7 Signed 32-bit little-endian integer. Signed 32-bit little-endian integer. DT_UINT648Unsigned 64-bit little-endian integer. DT_UINT64 DT_UINT64 8 8 Unsigned 64-bit little-endian integer. Unsigned 64-bit little-endian integer. DT_INT649Signed 64-bit little-endian integer. DT_INT64 DT_INT64 9 9 Signed 64-bit little-endian integer. Signed 64-bit little-endian integer. DT_FLOAT114-byte floating point value DT_FLOAT DT_FLOAT 11 11 4-byte floating point value 4-byte floating point value DT_DOUBLE128-byte floating point value DT_DOUBLE DT_DOUBLE 12 12 8-byte floating point value 8-byte floating point value DT_STRING13UTF8 variable-length string as List DT_STRING DT_STRING 13 13 UTF8 variable-length string as List UTF8 variable-length string as List  DT_BINARY14Variable-length bytes (no guarantee of UTF8-ness) DT_BINARY DT_BINARY 14 14 Variable-length bytes (no guarantee of UTF8-ness) Variable-length bytes (no guarantee of UTF8-ness)  "},"73":{"url":"/serving/main/en/reference/model#extendfunctionname","type":"fragment","title":"SecretFlow-Serving Model - ExtendFunctionName","content":"NameNumberDescriptionUNKOWN_EX_FUNCTION_NAME0Placeholder for proto3 default value, do not use itEFN_TB_COLUMN1Get colunm from table(record_batch). see https://arrow.apache.org/docs/cpp/api/table.html#_CPPv4NK5arrow11RecordBatch6columnEiEFN_TB_ADD_COLUMN2Add colum to table(record_batch). see https://arrow.apache.org/docs/cpp/api/table.html#_CPPv4NK5arrow11RecordBatch9AddColumnEiNSt6stringERKNSt10shared_ptrI5ArrayEEEFN_TB_REMOVE_COLUMN3Remove colunm from table(record_batch). see https://arrow.apache.org/docs/cpp/api/table.html#_CPPv4NK5arrow11RecordBatch12RemoveColumnEiEFN_TB_SET_COLUMN4Set colunm to table(record_batch). see https://arrow.apache.org/docs/cpp/api/table.html#_CPPv4NK5arrow11RecordBatch9SetColumnEiRKNSt10shared_ptrI5FieldEERKNSt10shared_ptrI5ArrayEE NameNumberDescription NameNumberDescription Name Name Number Number Description Description UNKOWN_EX_FUNCTION_NAME0Placeholder for proto3 default value, do not use itEFN_TB_COLUMN1Get colunm from table(record_batch). see https://arrow.apache.org/docs/cpp/api/table.html#_CPPv4NK5arrow11RecordBatch6columnEiEFN_TB_ADD_COLUMN2Add colum to table(record_batch). see https://arrow.apache.org/docs/cpp/api/table.html#_CPPv4NK5arrow11RecordBatch9AddColumnEiNSt6stringERKNSt10shared_ptrI5ArrayEEEFN_TB_REMOVE_COLUMN3Remove colunm from table(record_batch). see https://arrow.apache.org/docs/cpp/api/table.html#_CPPv4NK5arrow11RecordBatch12RemoveColumnEiEFN_TB_SET_COLUMN4Set colunm to table(record_batch). see https://arrow.apache.org/docs/cpp/api/table.html#_CPPv4NK5arrow11RecordBatch9SetColumnEiRKNSt10shared_ptrI5FieldEERKNSt10shared_ptrI5ArrayEE UNKOWN_EX_FUNCTION_NAME0Placeholder for proto3 default value, do not use it UNKOWN_EX_FUNCTION_NAME UNKOWN_EX_FUNCTION_NAME 0 0 Placeholder for proto3 default value, do not use it Placeholder for proto3 default value, do not use it EFN_TB_COLUMN1Get colunm from table(record_batch). see https://arrow.apache.org/docs/cpp/api/table.html#_CPPv4NK5arrow11RecordBatch6columnEi EFN_TB_COLUMN EFN_TB_COLUMN 1 1 Get colunm from table(record_batch). see https://arrow.apache.org/docs/cpp/api/table.html#_CPPv4NK5arrow11RecordBatch6columnEi Get colunm from table(record_batch). see https://arrow.apache.org/docs/cpp/api/table.html#_CPPv4NK5arrow11RecordBatch6columnEi https://arrow.apache.org/docs/cpp/api/table.html#_CPPv4NK5arrow11RecordBatch6columnEi EFN_TB_ADD_COLUMN2Add colum to table(record_batch). see https://arrow.apache.org/docs/cpp/api/table.html#_CPPv4NK5arrow11RecordBatch9AddColumnEiNSt6stringERKNSt10shared_ptrI5ArrayEE EFN_TB_ADD_COLUMN EFN_TB_ADD_COLUMN 2 2 Add colum to table(record_batch). see https://arrow.apache.org/docs/cpp/api/table.html#_CPPv4NK5arrow11RecordBatch9AddColumnEiNSt6stringERKNSt10shared_ptrI5ArrayEE Add colum to table(record_batch). see https://arrow.apache.org/docs/cpp/api/table.html#_CPPv4NK5arrow11RecordBatch9AddColumnEiNSt6stringERKNSt10shared_ptrI5ArrayEE https://arrow.apache.org/docs/cpp/api/table.html#_CPPv4NK5arrow11RecordBatch9AddColumnEiNSt6stringERKNSt10shared_ptrI5ArrayEE EFN_TB_REMOVE_COLUMN3Remove colunm from table(record_batch). see https://arrow.apache.org/docs/cpp/api/table.html#_CPPv4NK5arrow11RecordBatch12RemoveColumnEi EFN_TB_REMOVE_COLUMN EFN_TB_REMOVE_COLUMN 3 3 Remove colunm from table(record_batch). see https://arrow.apache.org/docs/cpp/api/table.html#_CPPv4NK5arrow11RecordBatch12RemoveColumnEi Remove colunm from table(record_batch). see https://arrow.apache.org/docs/cpp/api/table.html#_CPPv4NK5arrow11RecordBatch12RemoveColumnEi https://arrow.apache.org/docs/cpp/api/table.html#_CPPv4NK5arrow11RecordBatch12RemoveColumnEi EFN_TB_SET_COLUMN4Set colunm to table(record_batch). see https://arrow.apache.org/docs/cpp/api/table.html#_CPPv4NK5arrow11RecordBatch9SetColumnEiRKNSt10shared_ptrI5FieldEERKNSt10shared_ptrI5ArrayEE EFN_TB_SET_COLUMN EFN_TB_SET_COLUMN 4 4 Set colunm to table(record_batch). see https://arrow.apache.org/docs/cpp/api/table.html#_CPPv4NK5arrow11RecordBatch9SetColumnEiRKNSt10shared_ptrI5FieldEERKNSt10shared_ptrI5ArrayEE Set colunm to table(record_batch). see https://arrow.apache.org/docs/cpp/api/table.html#_CPPv4NK5arrow11RecordBatch9SetColumnEiRKNSt10shared_ptrI5FieldEERKNSt10shared_ptrI5ArrayEE https://arrow.apache.org/docs/cpp/api/table.html#_CPPv4NK5arrow11RecordBatch9SetColumnEiRKNSt10shared_ptrI5FieldEERKNSt10shared_ptrI5ArrayEE  "},"74":{"url":"/serving/main/en/reference/model#id6","type":"fragment","title":"SecretFlow-Serving Model - ExtendFunctionName","content":"NameNumberDescriptionUNKOWN_EX_FUNCTION_NAME0Placeholder for proto3 default value, do not use itEFN_TB_COLUMN1Get colunm from table(record_batch). see https://arrow.apache.org/docs/cpp/api/table.html#_CPPv4NK5arrow11RecordBatch6columnEiEFN_TB_ADD_COLUMN2Add colum to table(record_batch). see https://arrow.apache.org/docs/cpp/api/table.html#_CPPv4NK5arrow11RecordBatch9AddColumnEiNSt6stringERKNSt10shared_ptrI5ArrayEEEFN_TB_REMOVE_COLUMN3Remove colunm from table(record_batch). see https://arrow.apache.org/docs/cpp/api/table.html#_CPPv4NK5arrow11RecordBatch12RemoveColumnEiEFN_TB_SET_COLUMN4Set colunm to table(record_batch). see https://arrow.apache.org/docs/cpp/api/table.html#_CPPv4NK5arrow11RecordBatch9SetColumnEiRKNSt10shared_ptrI5FieldEERKNSt10shared_ptrI5ArrayEE NameNumberDescription NameNumberDescription Name Name Number Number Description Description UNKOWN_EX_FUNCTION_NAME0Placeholder for proto3 default value, do not use itEFN_TB_COLUMN1Get colunm from table(record_batch). see https://arrow.apache.org/docs/cpp/api/table.html#_CPPv4NK5arrow11RecordBatch6columnEiEFN_TB_ADD_COLUMN2Add colum to table(record_batch). see https://arrow.apache.org/docs/cpp/api/table.html#_CPPv4NK5arrow11RecordBatch9AddColumnEiNSt6stringERKNSt10shared_ptrI5ArrayEEEFN_TB_REMOVE_COLUMN3Remove colunm from table(record_batch). see https://arrow.apache.org/docs/cpp/api/table.html#_CPPv4NK5arrow11RecordBatch12RemoveColumnEiEFN_TB_SET_COLUMN4Set colunm to table(record_batch). see https://arrow.apache.org/docs/cpp/api/table.html#_CPPv4NK5arrow11RecordBatch9SetColumnEiRKNSt10shared_ptrI5FieldEERKNSt10shared_ptrI5ArrayEE UNKOWN_EX_FUNCTION_NAME0Placeholder for proto3 default value, do not use it UNKOWN_EX_FUNCTION_NAME UNKOWN_EX_FUNCTION_NAME 0 0 Placeholder for proto3 default value, do not use it Placeholder for proto3 default value, do not use it EFN_TB_COLUMN1Get colunm from table(record_batch). see https://arrow.apache.org/docs/cpp/api/table.html#_CPPv4NK5arrow11RecordBatch6columnEi EFN_TB_COLUMN EFN_TB_COLUMN 1 1 Get colunm from table(record_batch). see https://arrow.apache.org/docs/cpp/api/table.html#_CPPv4NK5arrow11RecordBatch6columnEi Get colunm from table(record_batch). see https://arrow.apache.org/docs/cpp/api/table.html#_CPPv4NK5arrow11RecordBatch6columnEi https://arrow.apache.org/docs/cpp/api/table.html#_CPPv4NK5arrow11RecordBatch6columnEi EFN_TB_ADD_COLUMN2Add colum to table(record_batch). see https://arrow.apache.org/docs/cpp/api/table.html#_CPPv4NK5arrow11RecordBatch9AddColumnEiNSt6stringERKNSt10shared_ptrI5ArrayEE EFN_TB_ADD_COLUMN EFN_TB_ADD_COLUMN 2 2 Add colum to table(record_batch). see https://arrow.apache.org/docs/cpp/api/table.html#_CPPv4NK5arrow11RecordBatch9AddColumnEiNSt6stringERKNSt10shared_ptrI5ArrayEE Add colum to table(record_batch). see https://arrow.apache.org/docs/cpp/api/table.html#_CPPv4NK5arrow11RecordBatch9AddColumnEiNSt6stringERKNSt10shared_ptrI5ArrayEE https://arrow.apache.org/docs/cpp/api/table.html#_CPPv4NK5arrow11RecordBatch9AddColumnEiNSt6stringERKNSt10shared_ptrI5ArrayEE EFN_TB_REMOVE_COLUMN3Remove colunm from table(record_batch). see https://arrow.apache.org/docs/cpp/api/table.html#_CPPv4NK5arrow11RecordBatch12RemoveColumnEi EFN_TB_REMOVE_COLUMN EFN_TB_REMOVE_COLUMN 3 3 Remove colunm from table(record_batch). see https://arrow.apache.org/docs/cpp/api/table.html#_CPPv4NK5arrow11RecordBatch12RemoveColumnEi Remove colunm from table(record_batch). see https://arrow.apache.org/docs/cpp/api/table.html#_CPPv4NK5arrow11RecordBatch12RemoveColumnEi https://arrow.apache.org/docs/cpp/api/table.html#_CPPv4NK5arrow11RecordBatch12RemoveColumnEi EFN_TB_SET_COLUMN4Set colunm to table(record_batch). see https://arrow.apache.org/docs/cpp/api/table.html#_CPPv4NK5arrow11RecordBatch9SetColumnEiRKNSt10shared_ptrI5FieldEERKNSt10shared_ptrI5ArrayEE EFN_TB_SET_COLUMN EFN_TB_SET_COLUMN 4 4 Set colunm to table(record_batch). see https://arrow.apache.org/docs/cpp/api/table.html#_CPPv4NK5arrow11RecordBatch9SetColumnEiRKNSt10shared_ptrI5FieldEERKNSt10shared_ptrI5ArrayEE Set colunm to table(record_batch). see https://arrow.apache.org/docs/cpp/api/table.html#_CPPv4NK5arrow11RecordBatch9SetColumnEiRKNSt10shared_ptrI5FieldEERKNSt10shared_ptrI5ArrayEE https://arrow.apache.org/docs/cpp/api/table.html#_CPPv4NK5arrow11RecordBatch9SetColumnEiRKNSt10shared_ptrI5FieldEERKNSt10shared_ptrI5ArrayEE  "},"75":{"url":"/serving/main/en/reference/model#scalar-value-types","type":"fragment","title":"SecretFlow-Serving Model - Scalar Value Types","content":".proto TypeNotesC++ TypeJava TypePython Type doubledoubledoublefloat floatfloatfloatfloat int32Uses variable-length encoding. Inefficient for encoding negative numbers – if your field is likely to have negative values, use sint32 instead.int32intint int64Uses variable-length encoding. Inefficient for encoding negative numbers – if your field is likely to have negative values, use sint64 instead.int64longint/long uint32Uses variable-length encoding.uint32intint/long uint64Uses variable-length encoding.uint64longint/long sint32Uses variable-length encoding. Signed int value. These more efficiently encode negative numbers than regular int32s.int32intint sint64Uses variable-length encoding. Signed int value. These more efficiently encode negative numbers than regular int64s.int64longint/long fixed32Always four bytes. More efficient than uint32 if values are often greater than 2^28.uint32intint fixed64Always eight bytes. More efficient than uint64 if values are often greater than 2^56.uint64longint/long sfixed32Always four bytes.int32intint sfixed64Always eight bytes.int64longint/long boolboolbooleanboolean stringA string must always contain UTF-8 encoded or 7-bit ASCII text.stringStringstr/unicode bytesMay contain any arbitrary sequence of bytes.stringByteStringstr .proto TypeNotesC++ TypeJava TypePython Type .proto TypeNotesC++ TypeJava TypePython Type .proto Type .proto Type Notes Notes C++ Type C++ Type Java Type Java Type Python Type Python Type  doubledoubledoublefloat floatfloatfloatfloat int32Uses variable-length encoding. Inefficient for encoding negative numbers – if your field is likely to have negative values, use sint32 instead.int32intint int64Uses variable-length encoding. Inefficient for encoding negative numbers – if your field is likely to have negative values, use sint64 instead.int64longint/long uint32Uses variable-length encoding.uint32intint/long uint64Uses variable-length encoding.uint64longint/long sint32Uses variable-length encoding. Signed int value. These more efficiently encode negative numbers than regular int32s.int32intint sint64Uses variable-length encoding. Signed int value. These more efficiently encode negative numbers than regular int64s.int64longint/long fixed32Always four bytes. More efficient than uint32 if values are often greater than 2^28.uint32intint fixed64Always eight bytes. More efficient than uint64 if values are often greater than 2^56.uint64longint/long sfixed32Always four bytes.int32intint sfixed64Always eight bytes.int64longint/long boolboolbooleanboolean stringA string must always contain UTF-8 encoded or 7-bit ASCII text.stringStringstr/unicode bytesMay contain any arbitrary sequence of bytes.stringByteStringstr  doubledoubledoublefloat  double  double  "},"76":{"url":"/serving/main/en/reference/api#secretflow-serving-api","type":"fragment","title":"SecretFlow-Serving API","content":""},"77":{"url":"/serving/main/en/reference/api#table-of-contents","type":"fragment","title":"SecretFlow-Serving API - Table of Contents","content":"\nServices\n\nExecutionService\nmetrics\nModelService\nPredictionService\n\n\nMessages\n\nHeader\nHeader.DataEntry\nServiceSpec\nExecuteRequest\nExecuteResponse\nExecuteResult\nExecutionTask\nFeatureSource\nIoData\nNodeIo\nMetricsRequest\nMetricsResponse\nGetModelInfoRequest\nGetModelInfoResponse\nPredictRequest\nPredictRequest.FsParamsEntry\nPredictResponse\nPredictResult\nScore\nStatus\nFeature\nFeatureField\nFeatureParam\nFeatureValue\n\n\nEnums\n\nErrorCode\nFeatureSourceType\nFieldType\n\n\nScalar Value Types\n Services\n\nExecutionService\nmetrics\nModelService\nPredictionService\n\n \nExecutionService\nmetrics\nModelService\nPredictionService\n ExecutionService ExecutionService metrics metrics ModelService ModelService PredictionService PredictionService Messages\n\nHeader\nHeader.DataEntry\nServiceSpec\nExecuteRequest\nExecuteResponse\nExecuteResult\nExecutionTask\nFeatureSource\nIoData\nNodeIo\nMetricsRequest\nMetricsResponse\nGetModelInfoRequest\nGetModelInfoResponse\nPredictRequest\nPredictRequest.FsParamsEntry\nPredictResponse\nPredictResult\nScore\nStatus\nFeature\nFeatureField\nFeatureParam\nFeatureValue\n\n \nHeader\nHeader.DataEntry\nServiceSpec\nExecuteRequest\nExecuteResponse\nExecuteResult\nExecutionTask\nFeatureSource\nIoData\nNodeIo\nMetricsRequest\nMetricsResponse\nGetModelInfoRequest\nGetModelInfoResponse\nPredictRequest\nPredictRequest.FsParamsEntry\nPredictResponse\nPredictResult\nScore\nStatus\nFeature\nFeatureField\nFeatureParam\nFeatureValue\n Header Header Header.DataEntry Header.DataEntry ServiceSpec ServiceSpec ExecuteRequest ExecuteRequest ExecuteResponse ExecuteResponse ExecuteResult ExecuteResult ExecutionTask ExecutionTask FeatureSource FeatureSource IoData IoData NodeIo NodeIo MetricsRequest MetricsRequest MetricsResponse MetricsResponse GetModelInfoRequest GetModelInfoRequest GetModelInfoResponse GetModelInfoResponse PredictRequest PredictRequest PredictRequest.FsParamsEntry PredictRequest.FsParamsEntry PredictResponse PredictResponse PredictResult PredictResult Score Score Status Status Feature Feature FeatureField FeatureField FeatureParam FeatureParam FeatureValue FeatureValue Enums\n\nErrorCode\nFeatureSourceType\nFieldType\n\n \nErrorCode\nFeatureSourceType\nFieldType\n ErrorCode ErrorCode FeatureSourceType FeatureSourceType FieldType FieldType Scalar Value Types Scalar Value Types  "},"78":{"url":"/serving/main/en/reference/api#executionservice","type":"fragment","title":"SecretFlow-Serving API - ExecutionService","content":"ExecutionService provides access to run execution defined in the GraphDef. "},"79":{"url":"/serving/main/en/reference/api#execute","type":"fragment","title":"SecretFlow-Serving API - Execute","content":"\nrpc Execute(ExecuteRequest)\nExecuteResponse\n rpc Execute(ExecuteRequest)\nExecuteResponse rpc ExecuteRequest ExecuteResponse  "},"80":{"url":"/serving/main/en/reference/api#metrics","type":"fragment","title":"SecretFlow-Serving API - metrics","content":""},"81":{"url":"/serving/main/en/reference/api#default-method","type":"fragment","title":"SecretFlow-Serving API - default_method","content":"\nrpc default_method(MetricsRequest)\nMetricsResponse\n rpc default_method(MetricsRequest)\nMetricsResponse rpc MetricsRequest MetricsResponse  "},"82":{"url":"/serving/main/en/reference/api#modelservice","type":"fragment","title":"SecretFlow-Serving API - ModelService","content":"ModelService provides operation ralated to models. "},"83":{"url":"/serving/main/en/reference/api#getmodelinfo","type":"fragment","title":"SecretFlow-Serving API - GetModelInfo","content":"\nrpc GetModelInfo(GetModelInfoRequest)\nGetModelInfoResponse\n rpc GetModelInfo(GetModelInfoRequest)\nGetModelInfoResponse rpc GetModelInfoRequest GetModelInfoResponse  "},"84":{"url":"/serving/main/en/reference/api#predictionservice","type":"fragment","title":"SecretFlow-Serving API - PredictionService","content":"PredictionService provides access to the serving model. "},"85":{"url":"/serving/main/en/reference/api#predict","type":"fragment","title":"SecretFlow-Serving API - Predict","content":"\nrpc Predict(PredictRequest)\nPredictResponse\n rpc Predict(PredictRequest)\nPredictResponse rpc PredictRequest PredictResponse Predict.  "},"86":{"url":"/serving/main/en/reference/api#messages","type":"fragment","title":"SecretFlow-Serving API - Messages","content":""},"87":{"url":"/serving/main/en/reference/api#header","type":"fragment","title":"SecretFlow-Serving API - Header","content":"Header containing custom data FieldTypeDescriptiondatamap Header.DataEntrynone FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description datamap Header.DataEntrynone datamap Header.DataEntrynone data data map Header.DataEntry map Header.DataEntry map Header.DataEntry map Header.DataEntry none none  "},"88":{"url":"/serving/main/en/reference/api#header-dataentry","type":"fragment","title":"SecretFlow-Serving API - Header.DataEntry","content":"FieldTypeDescriptionkey stringnonevalue stringnone FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description key stringnonevalue stringnone key stringnone key key  string  string  string  string none none value stringnone value value  string  string  string  string none none  "},"89":{"url":"/serving/main/en/reference/api#servicespec","type":"fragment","title":"SecretFlow-Serving API - ServiceSpec","content":"Metadata for an predict or execute request. FieldTypeDescriptionid stringThe id of the model service. FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description id stringThe id of the model service. id stringThe id of the model service. id id  string  string  string  string The id of the model service. The id of the model service.  "},"90":{"url":"/serving/main/en/reference/api#executerequest","type":"fragment","title":"SecretFlow-Serving API - ExecuteRequest","content":"Execute request containing one or more requests. FieldTypeDescriptionheader HeaderCustom data. The header will be passed to the downstream system which implement the feature service spi.requester_id stringRepresents the id of the requesting partyservice_spec ServiceSpecModel service specification.session_id stringRepresents the session of this execute.feature_source FeatureSourcenonetask ExecutionTasknone FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description header HeaderCustom data. The header will be passed to the downstream system which implement the feature service spi.requester_id stringRepresents the id of the requesting partyservice_spec ServiceSpecModel service specification.session_id stringRepresents the session of this execute.feature_source FeatureSourcenonetask ExecutionTasknone header HeaderCustom data. The header will be passed to the downstream system which implement the feature service spi. header header  Header  Header  Header Custom data. The header will be passed to the downstream system which implement the feature service spi. Custom data. The header will be passed to the downstream system which implement the feature service spi. requester_id stringRepresents the id of the requesting party requester_id requester_id  string  string  string  string Represents the id of the requesting party Represents the id of the requesting party service_spec ServiceSpecModel service specification. service_spec service_spec  ServiceSpec  ServiceSpec  ServiceSpec Model service specification. Model service specification. session_id stringRepresents the session of this execute. session_id session_id  string  string  string  string Represents the session of this execute. Represents the session of this execute. feature_source FeatureSourcenone feature_source feature_source  FeatureSource  FeatureSource  FeatureSource none none task ExecutionTasknone task task  ExecutionTask  ExecutionTask  ExecutionTask none none  "},"91":{"url":"/serving/main/en/reference/api#executeresponse","type":"fragment","title":"SecretFlow-Serving API - ExecuteResponse","content":"Execute response containing one or more responses. FieldTypeDescriptionheader HeaderCustom data. Passed by the downstream system which implement the feature service spi.status StatusStaus of this response.service_spec ServiceSpecModel service specification.session_id stringRepresents the session of this execute.result ExecuteResultnone FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description header HeaderCustom data. Passed by the downstream system which implement the feature service spi.status StatusStaus of this response.service_spec ServiceSpecModel service specification.session_id stringRepresents the session of this execute.result ExecuteResultnone header HeaderCustom data. Passed by the downstream system which implement the feature service spi. header header  Header  Header  Header Custom data. Passed by the downstream system which implement the feature service spi. Custom data. Passed by the downstream system which implement the feature service spi. status StatusStaus of this response. status status  Status  Status  Status Staus of this response. Staus of this response. service_spec ServiceSpecModel service specification. service_spec service_spec  ServiceSpec  ServiceSpec  ServiceSpec Model service specification. Model service specification. session_id stringRepresents the session of this execute. session_id session_id  string  string  string  string Represents the session of this execute. Represents the session of this execute. result ExecuteResultnone result result  ExecuteResult  ExecuteResult  ExecuteResult none none  "},"92":{"url":"/serving/main/en/reference/api#executeresult","type":"fragment","title":"SecretFlow-Serving API - ExecuteResult","content":"Execute result of the request task. FieldTypeDescriptionexecution_id int32Specified the execution id.nodesrepeated NodeIonone FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description execution_id int32Specified the execution id.nodesrepeated NodeIonone execution_id int32Specified the execution id. execution_id execution_id  int32  int32  int32  int32 Specified the execution id. Specified the execution id. nodesrepeated NodeIonone nodes nodes repeated NodeIo repeated NodeIo repeated NodeIo none none  "},"93":{"url":"/serving/main/en/reference/api#executiontask","type":"fragment","title":"SecretFlow-Serving API - ExecutionTask","content":"Execute request task. FieldTypeDescriptionexecution_id int32Specified the execution id.nodesrepeated NodeIonone FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description execution_id int32Specified the execution id.nodesrepeated NodeIonone execution_id int32Specified the execution id. execution_id execution_id  int32  int32  int32  int32 Specified the execution id. Specified the execution id. nodesrepeated NodeIonone nodes nodes repeated NodeIo repeated NodeIo repeated NodeIo none none  "},"94":{"url":"/serving/main/en/reference/api#featuresource","type":"fragment","title":"SecretFlow-Serving API - FeatureSource","content":"Descriptive feature source FieldTypeDescriptiontype FeatureSourceTypeIdentifies the source type of the featuresfs_param secretflow.serving.FeatureParamCustom parameter for fetch features from feature service or other systems. Valid when type==FeatureSourceType::FS_SERVICEpredefinedsrepeated secretflow.serving.FeatureDefined features. Valid when type==FeatureSourceType::FS_PREDEFINED FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description type FeatureSourceTypeIdentifies the source type of the featuresfs_param secretflow.serving.FeatureParamCustom parameter for fetch features from feature service or other systems. Valid when type==FeatureSourceType::FS_SERVICEpredefinedsrepeated secretflow.serving.FeatureDefined features. Valid when type==FeatureSourceType::FS_PREDEFINED type FeatureSourceTypeIdentifies the source type of the features type type  FeatureSourceType  FeatureSourceType  FeatureSourceType Identifies the source type of the features Identifies the source type of the features fs_param secretflow.serving.FeatureParamCustom parameter for fetch features from feature service or other systems. Valid when type==FeatureSourceType::FS_SERVICE fs_param fs_param  secretflow.serving.FeatureParam  secretflow.serving.FeatureParam  secretflow.serving.FeatureParam Custom parameter for fetch features from feature service or other systems. Valid when type==FeatureSourceType::FS_SERVICE Custom parameter for fetch features from feature service or other systems. Valid when type==FeatureSourceType::FS_SERVICE type==FeatureSourceType::FS_SERVICE predefinedsrepeated secretflow.serving.FeatureDefined features. Valid when type==FeatureSourceType::FS_PREDEFINED predefineds predefineds repeated secretflow.serving.Feature repeated secretflow.serving.Feature repeated secretflow.serving.Feature Defined features. Valid when type==FeatureSourceType::FS_PREDEFINED Defined features. Valid when type==FeatureSourceType::FS_PREDEFINED type==FeatureSourceType::FS_PREDEFINED  "},"95":{"url":"/serving/main/en/reference/api#iodata","type":"fragment","title":"SecretFlow-Serving API - IoData","content":"The serialized data of the node input/output. FieldTypeDescriptiondatasrepeated bytesnone FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description datasrepeated bytesnone datasrepeated bytesnone datas datas repeated bytes repeated bytes repeated bytes repeated bytes none none  "},"96":{"url":"/serving/main/en/reference/api#nodeio","type":"fragment","title":"SecretFlow-Serving API - NodeIo","content":"Represents the node input/output data. FieldTypeDescriptionname stringNode name.iosrepeated IoDatanone FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description name stringNode name.iosrepeated IoDatanone name stringNode name. name name  string  string  string  string Node name. Node name. iosrepeated IoDatanone ios ios repeated IoData repeated IoData repeated IoData none none  "},"97":{"url":"/serving/main/en/reference/api#metricsrequest","type":"fragment","title":"SecretFlow-Serving API - MetricsRequest","content":" "},"98":{"url":"/serving/main/en/reference/api#metricsresponse","type":"fragment","title":"SecretFlow-Serving API - MetricsResponse","content":" "},"99":{"url":"/serving/main/en/reference/api#getmodelinforequest","type":"fragment","title":"SecretFlow-Serving API - GetModelInfoRequest","content":"FieldTypeDescriptionheader HeaderCustom data.service_spec ServiceSpecModel service specification. FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description header HeaderCustom data.service_spec ServiceSpecModel service specification. header HeaderCustom data. header header  Header  Header  Header Custom data. Custom data. service_spec ServiceSpecModel service specification. service_spec service_spec  ServiceSpec  ServiceSpec  ServiceSpec Model service specification. Model service specification.  "},"100":{"url":"/serving/main/en/reference/api#getmodelinforesponse","type":"fragment","title":"SecretFlow-Serving API - GetModelInfoResponse","content":"FieldTypeDescriptionheader HeaderCustom data.status StatusStaus of this response.service_spec ServiceSpecModel service specification.model_info secretflow.serving.ModelInfonone FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description header HeaderCustom data.status StatusStaus of this response.service_spec ServiceSpecModel service specification.model_info secretflow.serving.ModelInfonone header HeaderCustom data. header header  Header  Header  Header Custom data. Custom data. status StatusStaus of this response. status status  Status  Status  Status Staus of this response. Staus of this response. service_spec ServiceSpecModel service specification. service_spec service_spec  ServiceSpec  ServiceSpec  ServiceSpec Model service specification. Model service specification. model_info secretflow.serving.ModelInfonone model_info model_info  secretflow.serving.ModelInfo  secretflow.serving.ModelInfo  secretflow.serving.ModelInfo  secretflow.serving.ModelInfo none none  "},"101":{"url":"/serving/main/en/reference/api#predictrequest","type":"fragment","title":"SecretFlow-Serving API - PredictRequest","content":"Predict request containing one or more requests.\nexamples:  FieldTypeDescriptionheader HeaderCustom data. The header will be passed to the downstream system which implement the feature service spi.service_spec ServiceSpecModel service specification.fs_paramsmap PredictRequest.FsParamsEntryThe params for fetch features. Note that this should include all the parties involved in the prediction. When using the feature service as the source of feature data, serving does not consume this parameter but instead passes it through to the feature service for consumption. Key: party’s id. Value: params for fetch features.predefined_featuresrepeated secretflow.serving.FeatureOptional. If defined, the request party will no longer query for the feature but will use defined fetures in predefined_features for the prediction. FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description header HeaderCustom data. The header will be passed to the downstream system which implement the feature service spi.service_spec ServiceSpecModel service specification.fs_paramsmap PredictRequest.FsParamsEntryThe params for fetch features. Note that this should include all the parties involved in the prediction. When using the feature service as the source of feature data, serving does not consume this parameter but instead passes it through to the feature service for consumption. Key: party’s id. Value: params for fetch features.predefined_featuresrepeated secretflow.serving.FeatureOptional. If defined, the request party will no longer query for the feature but will use defined fetures in predefined_features for the prediction. header HeaderCustom data. The header will be passed to the downstream system which implement the feature service spi. header header  Header  Header  Header Custom data. The header will be passed to the downstream system which implement the feature service spi. Custom data. The header will be passed to the downstream system which implement the feature service spi. service_spec ServiceSpecModel service specification. service_spec service_spec  ServiceSpec  ServiceSpec  ServiceSpec Model service specification. Model service specification. fs_paramsmap PredictRequest.FsParamsEntryThe params for fetch features. Note that this should include all the parties involved in the prediction. When using the feature service as the source of feature data, serving does not consume this parameter but instead passes it through to the feature service for consumption. Key: party’s id. Value: params for fetch features. fs_params fs_params map PredictRequest.FsParamsEntry map PredictRequest.FsParamsEntry map PredictRequest.FsParamsEntry map PredictRequest.FsParamsEntry The params for fetch features. Note that this should include all the parties involved in the prediction. When using the feature service as the source of feature data, serving does not consume this parameter but instead passes it through to the feature service for consumption. Key: party’s id. Value: params for fetch features. The params for fetch features. Note that this should include all the parties involved in the prediction. When using the feature service as the source of feature data, serving does not consume this parameter but instead passes it through to the feature service for consumption. Key: party’s id. Value: params for fetch features. predefined_featuresrepeated secretflow.serving.FeatureOptional. If defined, the request party will no longer query for the feature but will use defined fetures in predefined_features for the prediction. predefined_features predefined_features repeated secretflow.serving.Feature repeated secretflow.serving.Feature repeated secretflow.serving.Feature Optional. If defined, the request party will no longer query for the feature but will use defined fetures in predefined_features for the prediction. Optional. If defined, the request party will no longer query for the feature but will use defined fetures in predefined_features for the prediction. predefined_features  "},"102":{"url":"/serving/main/en/reference/api#predictrequest-fsparamsentry","type":"fragment","title":"SecretFlow-Serving API - PredictRequest.FsParamsEntry","content":"FieldTypeDescriptionkey stringnonevalue secretflow.serving.FeatureParamnone FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description key stringnonevalue secretflow.serving.FeatureParamnone key stringnone key key  string  string  string  string none none value secretflow.serving.FeatureParamnone value value  secretflow.serving.FeatureParam  secretflow.serving.FeatureParam  secretflow.serving.FeatureParam none none  "},"103":{"url":"/serving/main/en/reference/api#predictresponse","type":"fragment","title":"SecretFlow-Serving API - PredictResponse","content":"Predict response containing one or more responses.\nexamples:  FieldTypeDescriptionheader HeaderCustom data. Passed by the downstream system which implement the feature service spi.status StatusStaus of this response.service_spec ServiceSpecModel service specification.resultsrepeated PredictResultList of the predict result. Returned in the same order as the request’s feature query data. FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description header HeaderCustom data. Passed by the downstream system which implement the feature service spi.status StatusStaus of this response.service_spec ServiceSpecModel service specification.resultsrepeated PredictResultList of the predict result. Returned in the same order as the request’s feature query data. header HeaderCustom data. Passed by the downstream system which implement the feature service spi. header header  Header  Header  Header Custom data. Passed by the downstream system which implement the feature service spi. Custom data. Passed by the downstream system which implement the feature service spi. status StatusStaus of this response. status status  Status  Status  Status Staus of this response. Staus of this response. service_spec ServiceSpecModel service specification. service_spec service_spec  ServiceSpec  ServiceSpec  ServiceSpec Model service specification. Model service specification. resultsrepeated PredictResultList of the predict result. Returned in the same order as the request’s feature query data. results results repeated PredictResult repeated PredictResult repeated PredictResult List of the predict result. Returned in the same order as the request’s feature query data. List of the predict result. Returned in the same order as the request’s feature query data.  "},"104":{"url":"/serving/main/en/reference/api#predictresult","type":"fragment","title":"SecretFlow-Serving API - PredictResult","content":"Result of single predict request. FieldTypeDescriptionscoresrepeated ScoreAccording to the model, there may be one or multi scores. FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description scoresrepeated ScoreAccording to the model, there may be one or multi scores. scoresrepeated ScoreAccording to the model, there may be one or multi scores. scores scores repeated Score repeated Score repeated Score According to the model, there may be one or multi scores. According to the model, there may be one or multi scores.  "},"105":{"url":"/serving/main/en/reference/api#score","type":"fragment","title":"SecretFlow-Serving API - Score","content":"Result of regression or one class of Classifications FieldTypeDescriptionname stringThe name of the score, it depends on the attribute configuration of the model.value doubleThe value of the score. FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description name stringThe name of the score, it depends on the attribute configuration of the model.value doubleThe value of the score. name stringThe name of the score, it depends on the attribute configuration of the model. name name  string  string  string  string The name of the score, it depends on the attribute configuration of the model. The name of the score, it depends on the attribute configuration of the model. value doubleThe value of the score. value value  double  double  double  double The value of the score. The value of the score.  "},"106":{"url":"/serving/main/en/reference/api#status","type":"fragment","title":"SecretFlow-Serving API - Status","content":"Represents the status of a request FieldTypeDescriptioncode int32The code of this status. Must be one of ErrorCode in error_code.protomsg stringThe msg of this status. FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description code int32The code of this status. Must be one of ErrorCode in error_code.protomsg stringThe msg of this status. code int32The code of this status. Must be one of ErrorCode in error_code.proto code code  int32  int32  int32  int32 The code of this status. Must be one of ErrorCode in error_code.proto The code of this status. Must be one of ErrorCode in error_code.proto msg stringThe msg of this status. msg msg  string  string  string  string The msg of this status. The msg of this status.  "},"107":{"url":"/serving/main/en/reference/api#feature","type":"fragment","title":"SecretFlow-Serving API - Feature","content":"The definition of a feature FieldTypeDescriptionfield FeatureFieldnonevalue FeatureValuenone FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description field FeatureFieldnonevalue FeatureValuenone field FeatureFieldnone field field  FeatureField  FeatureField  FeatureField none none value FeatureValuenone value value  FeatureValue  FeatureValue  FeatureValue none none  "},"108":{"url":"/serving/main/en/reference/api#featurefield","type":"fragment","title":"SecretFlow-Serving API - FeatureField","content":"The definition of a feature field. FieldTypeDescriptionname stringUnique name of the featuretype FieldTypeField type of the feature FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description name stringUnique name of the featuretype FieldTypeField type of the feature name stringUnique name of the feature name name  string  string  string  string Unique name of the feature Unique name of the feature type FieldTypeField type of the feature type type  FieldType  FieldType  FieldType Field type of the feature Field type of the feature  "},"109":{"url":"/serving/main/en/reference/api#featureparam","type":"fragment","title":"SecretFlow-Serving API - FeatureParam","content":"The custom parameters for fetch features. FieldTypeDescriptionquery_datasrepeated stringCustom parameters data for querying feature values, the specific content format of which is determined by the feature datasource provider. Each one for query one row of features.query_context stringOptional. Represents the common part of the query datas. FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description query_datasrepeated stringCustom parameters data for querying feature values, the specific content format of which is determined by the feature datasource provider. Each one for query one row of features.query_context stringOptional. Represents the common part of the query datas. query_datasrepeated stringCustom parameters data for querying feature values, the specific content format of which is determined by the feature datasource provider. Each one for query one row of features. query_datas query_datas repeated string repeated string repeated string repeated string Custom parameters data for querying feature values, the specific content format of which is determined by the feature datasource provider. Each one for query one row of features. Custom parameters data for querying feature values, the specific content format of which is determined by the feature datasource provider. Each one for query one row of features. query_context stringOptional. Represents the common part of the query datas. query_context query_context  string  string  string  string Optional. Represents the common part of the query datas. Optional. Represents the common part of the query datas.  "},"110":{"url":"/serving/main/en/reference/api#featurevalue","type":"fragment","title":"SecretFlow-Serving API - FeatureValue","content":"The value of a feature FieldTypeDescriptioni32srepeated int32int listi64srepeated int64nonefsrepeated floatfloat listdsrepeated doublenonessrepeated stringstring listbsrepeated boolbool list FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description i32srepeated int32int listi64srepeated int64nonefsrepeated floatfloat listdsrepeated doublenonessrepeated stringstring listbsrepeated boolbool list i32srepeated int32int list i32s i32s repeated int32 repeated int32 repeated int32 repeated int32 int list int list i64srepeated int64none i64s i64s repeated int64 repeated int64 repeated int64 repeated int64 none none fsrepeated floatfloat list fs fs repeated float repeated float repeated float repeated float float list float list dsrepeated doublenone ds ds repeated double repeated double repeated double repeated double none none ssrepeated stringstring list ss ss repeated string repeated string repeated string repeated string string list string list bsrepeated boolbool list bs bs repeated bool repeated bool repeated bool repeated bool bool list bool list  "},"111":{"url":"/serving/main/en/reference/api#enums","type":"fragment","title":"SecretFlow-Serving API - Enums","content":" "},"112":{"url":"/serving/main/en/reference/api#errorcode","type":"fragment","title":"SecretFlow-Serving API - ErrorCode","content":"NameNumberDescriptionUNKNOWN0Placeholder for proto3 default value, do not use itOK1noneUNEXPECTED_ERROR2noneINVALID_ARGUMENT3noneNETWORK_ERROR4noneNOT_FOUND5Some requested entity (e.g., file or directory) was not found.NOT_IMPLEMENTED6noneLOGIC_ERROR7noneSERIALIZE_FAILED8noneDESERIALIZE_FAILED9noneIO_ERROR10noneNOT_READY11noneFS_UNAUTHENTICATED100noneFS_INVALID_ARGUMENT101noneFS_DEADLINE_EXCEEDED102noneFS_NOT_FOUND103noneFS_INTERNAL_ERROR104none NameNumberDescription NameNumberDescription Name Name Number Number Description Description UNKNOWN0Placeholder for proto3 default value, do not use itOK1noneUNEXPECTED_ERROR2noneINVALID_ARGUMENT3noneNETWORK_ERROR4noneNOT_FOUND5Some requested entity (e.g., file or directory) was not found.NOT_IMPLEMENTED6noneLOGIC_ERROR7noneSERIALIZE_FAILED8noneDESERIALIZE_FAILED9noneIO_ERROR10noneNOT_READY11noneFS_UNAUTHENTICATED100noneFS_INVALID_ARGUMENT101noneFS_DEADLINE_EXCEEDED102noneFS_NOT_FOUND103noneFS_INTERNAL_ERROR104none UNKNOWN0Placeholder for proto3 default value, do not use it UNKNOWN UNKNOWN 0 0 Placeholder for proto3 default value, do not use it Placeholder for proto3 default value, do not use it OK1none OK OK 1 1 none none UNEXPECTED_ERROR2none UNEXPECTED_ERROR UNEXPECTED_ERROR 2 2 none none INVALID_ARGUMENT3none INVALID_ARGUMENT INVALID_ARGUMENT 3 3 none none NETWORK_ERROR4none NETWORK_ERROR NETWORK_ERROR 4 4 none none NOT_FOUND5Some requested entity (e.g., file or directory) was not found. NOT_FOUND NOT_FOUND 5 5 Some requested entity (e.g., file or directory) was not found. Some requested entity (e.g., file or directory) was not found. NOT_IMPLEMENTED6none NOT_IMPLEMENTED NOT_IMPLEMENTED 6 6 none none LOGIC_ERROR7none LOGIC_ERROR LOGIC_ERROR 7 7 none none SERIALIZE_FAILED8none SERIALIZE_FAILED SERIALIZE_FAILED 8 8 none none DESERIALIZE_FAILED9none DESERIALIZE_FAILED DESERIALIZE_FAILED 9 9 none none IO_ERROR10none IO_ERROR IO_ERROR 10 10 none none NOT_READY11none NOT_READY NOT_READY 11 11 none none FS_UNAUTHENTICATED100none FS_UNAUTHENTICATED FS_UNAUTHENTICATED 100 100 none none FS_INVALID_ARGUMENT101none FS_INVALID_ARGUMENT FS_INVALID_ARGUMENT 101 101 none none FS_DEADLINE_EXCEEDED102none FS_DEADLINE_EXCEEDED FS_DEADLINE_EXCEEDED 102 102 none none FS_NOT_FOUND103none FS_NOT_FOUND FS_NOT_FOUND 103 103 none none FS_INTERNAL_ERROR104none FS_INTERNAL_ERROR FS_INTERNAL_ERROR 104 104 none none  "},"113":{"url":"/serving/main/en/reference/api#featuresourcetype","type":"fragment","title":"SecretFlow-Serving API - FeatureSourceType","content":"Support feature source type NameNumberDescriptionUNKNOWN_FS_TYPE0noneFS_NONE1No need features.FS_SERVICE2Fetch features from feature service.FS_PREDEFINED3The feature is defined in the request. NameNumberDescription NameNumberDescription Name Name Number Number Description Description UNKNOWN_FS_TYPE0noneFS_NONE1No need features.FS_SERVICE2Fetch features from feature service.FS_PREDEFINED3The feature is defined in the request. UNKNOWN_FS_TYPE0none UNKNOWN_FS_TYPE UNKNOWN_FS_TYPE 0 0 none none FS_NONE1No need features. FS_NONE FS_NONE 1 1 No need features. No need features. FS_SERVICE2Fetch features from feature service. FS_SERVICE FS_SERVICE 2 2 Fetch features from feature service. Fetch features from feature service. FS_PREDEFINED3The feature is defined in the request. FS_PREDEFINED FS_PREDEFINED 3 3 The feature is defined in the request. The feature is defined in the request.  "},"114":{"url":"/serving/main/en/reference/api#fieldtype","type":"fragment","title":"SecretFlow-Serving API - FieldType","content":"Supported feature field type. NameNumberDescriptionUNKNOWN_FIELD_TYPE0Placeholder for proto3 default value, do not use it.FIELD_BOOL1BOOLFIELD_INT322INT32FIELD_INT643INT64FIELD_FLOAT4FLOATFIELD_DOUBLE5DOUBLEFIELD_STRING6STRING NameNumberDescription NameNumberDescription Name Name Number Number Description Description UNKNOWN_FIELD_TYPE0Placeholder for proto3 default value, do not use it.FIELD_BOOL1BOOLFIELD_INT322INT32FIELD_INT643INT64FIELD_FLOAT4FLOATFIELD_DOUBLE5DOUBLEFIELD_STRING6STRING UNKNOWN_FIELD_TYPE0Placeholder for proto3 default value, do not use it. UNKNOWN_FIELD_TYPE UNKNOWN_FIELD_TYPE 0 0 Placeholder for proto3 default value, do not use it. Placeholder for proto3 default value, do not use it. FIELD_BOOL1BOOL FIELD_BOOL FIELD_BOOL 1 1 BOOL BOOL FIELD_INT322INT32 FIELD_INT32 FIELD_INT32 2 2 INT32 INT32 FIELD_INT643INT64 FIELD_INT64 FIELD_INT64 3 3 INT64 INT64 FIELD_FLOAT4FLOAT FIELD_FLOAT FIELD_FLOAT 4 4 FLOAT FLOAT FIELD_DOUBLE5DOUBLE FIELD_DOUBLE FIELD_DOUBLE 5 5 DOUBLE DOUBLE FIELD_STRING6STRING FIELD_STRING FIELD_STRING 6 6 STRING STRING  "},"115":{"url":"/serving/main/en/reference/api#scalar-value-types","type":"fragment","title":"SecretFlow-Serving API - Scalar Value Types","content":".proto TypeNotesC++ TypeJava TypePython Type doubledoubledoublefloat floatfloatfloatfloat int32Uses variable-length encoding. Inefficient for encoding negative numbers – if your field is likely to have negative values, use sint32 instead.int32intint int64Uses variable-length encoding. Inefficient for encoding negative numbers – if your field is likely to have negative values, use sint64 instead.int64longint/long uint32Uses variable-length encoding.uint32intint/long uint64Uses variable-length encoding.uint64longint/long sint32Uses variable-length encoding. Signed int value. These more efficiently encode negative numbers than regular int32s.int32intint sint64Uses variable-length encoding. Signed int value. These more efficiently encode negative numbers than regular int64s.int64longint/long fixed32Always four bytes. More efficient than uint32 if values are often greater than 2^28.uint32intint fixed64Always eight bytes. More efficient than uint64 if values are often greater than 2^56.uint64longint/long sfixed32Always four bytes.int32intint sfixed64Always eight bytes.int64longint/long boolboolbooleanboolean stringA string must always contain UTF-8 encoded or 7-bit ASCII text.stringStringstr/unicode bytesMay contain any arbitrary sequence of bytes.stringByteStringstr .proto TypeNotesC++ TypeJava TypePython Type .proto TypeNotesC++ TypeJava TypePython Type .proto Type .proto Type Notes Notes C++ Type C++ Type Java Type Java Type Python Type Python Type  doubledoubledoublefloat floatfloatfloatfloat int32Uses variable-length encoding. Inefficient for encoding negative numbers – if your field is likely to have negative values, use sint32 instead.int32intint int64Uses variable-length encoding. Inefficient for encoding negative numbers – if your field is likely to have negative values, use sint64 instead.int64longint/long uint32Uses variable-length encoding.uint32intint/long uint64Uses variable-length encoding.uint64longint/long sint32Uses variable-length encoding. Signed int value. These more efficiently encode negative numbers than regular int32s.int32intint sint64Uses variable-length encoding. Signed int value. These more efficiently encode negative numbers than regular int64s.int64longint/long fixed32Always four bytes. More efficient than uint32 if values are often greater than 2^28.uint32intint fixed64Always eight bytes. More efficient than uint64 if values are often greater than 2^56.uint64longint/long sfixed32Always four bytes.int32intint sfixed64Always eight bytes.int64longint/long boolboolbooleanboolean stringA string must always contain UTF-8 encoded or 7-bit ASCII text.stringStringstr/unicode bytesMay contain any arbitrary sequence of bytes.stringByteStringstr  doubledoubledoublefloat  double  double  "},"116":{"url":"/serving/main/en/reference/secretflow_serving_lib#secretflow-serving-lib-package","type":"fragment","title":"secretflow_serving_lib package","content":""},"117":{"url":"/serving/main/en/reference/secretflow_serving_lib#submodules","type":"fragment","title":"secretflow_serving_lib package - Submodules","content":""},"118":{"url":"/serving/main/en/reference/secretflow_serving_lib#secretflow-serving-lib-api-module","type":"fragment","title":"secretflow_serving_lib package - secretflow_serving_lib.api module","content":""},"119":{"url":"/serving/main/en/reference/secretflow_serving_lib#secretflow-serving-lib-attr-pb2-module","type":"fragment","title":"secretflow_serving_lib package - secretflow_serving_lib.attr_pb2 module","content":""},"120":{"url":"/serving/main/en/reference/secretflow_serving_lib#secretflow-serving-lib-bundle-pb2-module","type":"fragment","title":"secretflow_serving_lib package - secretflow_serving_lib.bundle_pb2 module","content":""},"121":{"url":"/serving/main/en/reference/secretflow_serving_lib#secretflow-serving-lib-compute-trace-pb2-module","type":"fragment","title":"secretflow_serving_lib package - secretflow_serving_lib.compute_trace_pb2 module","content":""},"122":{"url":"/serving/main/en/reference/secretflow_serving_lib#secretflow-serving-lib-data-type-pb2-module","type":"fragment","title":"secretflow_serving_lib package - secretflow_serving_lib.data_type_pb2 module","content":""},"123":{"url":"/serving/main/en/reference/secretflow_serving_lib#secretflow-serving-lib-feature-pb2-module","type":"fragment","title":"secretflow_serving_lib package - secretflow_serving_lib.feature_pb2 module","content":""},"124":{"url":"/serving/main/en/reference/secretflow_serving_lib#secretflow-serving-lib-graph-builder-module","type":"fragment","title":"secretflow_serving_lib package - secretflow_serving_lib.graph_builder module","content":""},"125":{"url":"/serving/main/en/reference/secretflow_serving_lib#secretflow-serving-lib-graph-pb2-module","type":"fragment","title":"secretflow_serving_lib package - secretflow_serving_lib.graph_pb2 module","content":""},"126":{"url":"/serving/main/en/reference/secretflow_serving_lib#secretflow-serving-lib-link-function-pb2-module","type":"fragment","title":"secretflow_serving_lib package - secretflow_serving_lib.link_function_pb2 module","content":""},"127":{"url":"/serving/main/en/reference/secretflow_serving_lib#secretflow-serving-lib-op-pb2-module","type":"fragment","title":"secretflow_serving_lib package - secretflow_serving_lib.op_pb2 module","content":""},"128":{"url":"/serving/main/en/reference/secretflow_serving_lib#secretflow-serving-lib-version-module","type":"fragment","title":"secretflow_serving_lib package - secretflow_serving_lib.version module","content":""},"129":{"url":"/serving/main/en/reference/secretflow_serving_lib#module-contents","type":"fragment","title":"secretflow_serving_lib package - Module contents","content":""},"130":{"url":"/serving/main/en/reference#reference","type":"fragment","title":"Reference","content":" This part contains detailed explanation of Model, Configs, SPIs and APIs. API\nSecretFlow-Serving API\n API API \nSecretFlow-Serving API\n SecretFlow-Serving API SecretFlow-Serving API Config\nSecretFlow-Serving Config\n Config Config \nSecretFlow-Serving Config\n SecretFlow-Serving Config SecretFlow-Serving Config SPI\nSecretFlow-Serving SPI\n SPI SPI \nSecretFlow-Serving SPI\n SecretFlow-Serving SPI SecretFlow-Serving SPI Model\nSecretFlow-Serving Model\n Model Model \nSecretFlow-Serving Model\n SecretFlow-Serving Model SecretFlow-Serving Model SpanInfo\nSecretFlow-Serving SpanInfo\n SpanInfo SpanInfo \nSecretFlow-Serving SpanInfo\n SecretFlow-Serving SpanInfo SecretFlow-Serving SpanInfo Modules\nsecretflow_serving_lib\n\nsecretflow_serving_lib package\n\n\n Modules Modules \nsecretflow_serving_lib\n\nsecretflow_serving_lib package\n\n\n secretflow_serving_lib\n\nsecretflow_serving_lib package\n\n secretflow_serving_lib \nsecretflow_serving_lib package\n secretflow_serving_lib package secretflow_serving_lib package "},"131":{"url":"/serving/main/en/reference/span_info#secretflow-serving-spaninfo","type":"fragment","title":"SecretFlow-Serving SpanInfo","content":""},"132":{"url":"/serving/main/en/reference/span_info#table-of-contents","type":"fragment","title":"SecretFlow-Serving SpanInfo - Table of Contents","content":"\nServices\nMessages\n\nSpanInfo\n\n\nEnums\nScalar Value Types\n Services Messages\n\nSpanInfo\n\n \nSpanInfo\n SpanInfo SpanInfo Enums Scalar Value Types Scalar Value Types  "},"133":{"url":"/serving/main/en/reference/span_info#messages","type":"fragment","title":"SecretFlow-Serving SpanInfo - Messages","content":""},"134":{"url":"/serving/main/en/reference/span_info#spaninfo","type":"fragment","title":"SecretFlow-Serving SpanInfo - SpanInfo","content":"Represents info of a service span FieldTypeDescriptionmodel_service_id stringModel service specification.party_id stringparty id of generator of this span FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description model_service_id stringModel service specification.party_id stringparty id of generator of this span model_service_id stringModel service specification. model_service_id model_service_id  string  string  string  string Model service specification. Model service specification. party_id stringparty id of generator of this span party_id party_id  string  string  string  string party id of generator of this span party id of generator of this span  "},"135":{"url":"/serving/main/en/reference/span_info#enums","type":"fragment","title":"SecretFlow-Serving SpanInfo - Enums","content":" "},"136":{"url":"/serving/main/en/reference/span_info#scalar-value-types","type":"fragment","title":"SecretFlow-Serving SpanInfo - Scalar Value Types","content":".proto TypeNotesC++ TypeJava TypePython Type doubledoubledoublefloat floatfloatfloatfloat int32Uses variable-length encoding. Inefficient for encoding negative numbers – if your field is likely to have negative values, use sint32 instead.int32intint int64Uses variable-length encoding. Inefficient for encoding negative numbers – if your field is likely to have negative values, use sint64 instead.int64longint/long uint32Uses variable-length encoding.uint32intint/long uint64Uses variable-length encoding.uint64longint/long sint32Uses variable-length encoding. Signed int value. These more efficiently encode negative numbers than regular int32s.int32intint sint64Uses variable-length encoding. Signed int value. These more efficiently encode negative numbers than regular int64s.int64longint/long fixed32Always four bytes. More efficient than uint32 if values are often greater than 2^28.uint32intint fixed64Always eight bytes. More efficient than uint64 if values are often greater than 2^56.uint64longint/long sfixed32Always four bytes.int32intint sfixed64Always eight bytes.int64longint/long boolboolbooleanboolean stringA string must always contain UTF-8 encoded or 7-bit ASCII text.stringStringstr/unicode bytesMay contain any arbitrary sequence of bytes.stringByteStringstr .proto TypeNotesC++ TypeJava TypePython Type .proto TypeNotesC++ TypeJava TypePython Type .proto Type .proto Type Notes Notes C++ Type C++ Type Java Type Java Type Python Type Python Type  doubledoubledoublefloat floatfloatfloatfloat int32Uses variable-length encoding. Inefficient for encoding negative numbers – if your field is likely to have negative values, use sint32 instead.int32intint int64Uses variable-length encoding. Inefficient for encoding negative numbers – if your field is likely to have negative values, use sint64 instead.int64longint/long uint32Uses variable-length encoding.uint32intint/long uint64Uses variable-length encoding.uint64longint/long sint32Uses variable-length encoding. Signed int value. These more efficiently encode negative numbers than regular int32s.int32intint sint64Uses variable-length encoding. Signed int value. These more efficiently encode negative numbers than regular int64s.int64longint/long fixed32Always four bytes. More efficient than uint32 if values are often greater than 2^28.uint32intint fixed64Always eight bytes. More efficient than uint64 if values are often greater than 2^56.uint64longint/long sfixed32Always four bytes.int32intint sfixed64Always eight bytes.int64longint/long boolboolbooleanboolean stringA string must always contain UTF-8 encoded or 7-bit ASCII text.stringStringstr/unicode bytesMay contain any arbitrary sequence of bytes.stringByteStringstr  doubledoubledoublefloat  double  double  "},"137":{"url":"/serving/main/en/reference/config#secretflow-serving-config","type":"fragment","title":"SecretFlow-Serving Config","content":""},"138":{"url":"/serving/main/en/reference/config#table-of-contents","type":"fragment","title":"SecretFlow-Serving Config - Table of Contents","content":"\nServices\nMessages\n\nChannelDesc\nClusterConfig\nPartyDesc\nCsvOptions\nFeatureSourceConfig\nHttpOptions\nMockOptions\nStreamingOptions\nLoggingConfig\nDPSourceMeta\nFileSourceMeta\nHttpSourceMeta\nModelConfig\nOSSSourceMeta\nExponentialBackOffConfig\nFixedBackOffConfig\nRandomBackOffConfig\nRetryPolicyConfig\nServerConfig\nServerConfig.FeatureMappingEntry\nServingConfig\nTlsConfig\nTraceConfig\nTraceLogConfig\n\n\nEnums\n\nMockDataType\nLogLevel\nSourceType\nRetryPolicyBackOffMode\n\n\nScalar Value Types\n Services Messages\n\nChannelDesc\nClusterConfig\nPartyDesc\nCsvOptions\nFeatureSourceConfig\nHttpOptions\nMockOptions\nStreamingOptions\nLoggingConfig\nDPSourceMeta\nFileSourceMeta\nHttpSourceMeta\nModelConfig\nOSSSourceMeta\nExponentialBackOffConfig\nFixedBackOffConfig\nRandomBackOffConfig\nRetryPolicyConfig\nServerConfig\nServerConfig.FeatureMappingEntry\nServingConfig\nTlsConfig\nTraceConfig\nTraceLogConfig\n\n \nChannelDesc\nClusterConfig\nPartyDesc\nCsvOptions\nFeatureSourceConfig\nHttpOptions\nMockOptions\nStreamingOptions\nLoggingConfig\nDPSourceMeta\nFileSourceMeta\nHttpSourceMeta\nModelConfig\nOSSSourceMeta\nExponentialBackOffConfig\nFixedBackOffConfig\nRandomBackOffConfig\nRetryPolicyConfig\nServerConfig\nServerConfig.FeatureMappingEntry\nServingConfig\nTlsConfig\nTraceConfig\nTraceLogConfig\n ChannelDesc ChannelDesc ClusterConfig ClusterConfig PartyDesc PartyDesc CsvOptions CsvOptions FeatureSourceConfig FeatureSourceConfig HttpOptions HttpOptions MockOptions MockOptions StreamingOptions StreamingOptions LoggingConfig LoggingConfig DPSourceMeta DPSourceMeta FileSourceMeta FileSourceMeta HttpSourceMeta HttpSourceMeta ModelConfig ModelConfig OSSSourceMeta OSSSourceMeta ExponentialBackOffConfig ExponentialBackOffConfig FixedBackOffConfig FixedBackOffConfig RandomBackOffConfig RandomBackOffConfig RetryPolicyConfig RetryPolicyConfig ServerConfig ServerConfig ServerConfig.FeatureMappingEntry ServerConfig.FeatureMappingEntry ServingConfig ServingConfig TlsConfig TlsConfig TraceConfig TraceConfig TraceLogConfig TraceLogConfig Enums\n\nMockDataType\nLogLevel\nSourceType\nRetryPolicyBackOffMode\n\n \nMockDataType\nLogLevel\nSourceType\nRetryPolicyBackOffMode\n MockDataType MockDataType LogLevel LogLevel SourceType SourceType RetryPolicyBackOffMode RetryPolicyBackOffMode Scalar Value Types Scalar Value Types  "},"139":{"url":"/serving/main/en/reference/config#messages","type":"fragment","title":"SecretFlow-Serving Config - Messages","content":""},"140":{"url":"/serving/main/en/reference/config#channeldesc","type":"fragment","title":"SecretFlow-Serving Config - ChannelDesc","content":"Description for channels between joined parties FieldTypeDescriptionprotocol stringhttps://github.com/apache/brpc/blob/master/docs/en/client.md#protocolsrpc_timeout_ms int32Max duration of RPC. -1 means wait indefinitely. Default: 2000 (ms)connect_timeout_ms int32Max duration for a connect. -1 means wait indefinitely. Default: 500 (ms)tls_config TlsConfigTLS related config.handshake_max_retry_cnt int32When the server starts, model information from all parties will be collected. At this time, the remote servers may not have started yet, and we need to retry. And if we connect gateway,the max waiting time for each operation will be rpc_timeout_ms + handshake_retry_interval_ms. Maximum number of retries, default: 60handshake_retry_interval_ms int32time between retries, default: 5000msretry_policy_config RetryPolicyConfigretry policy config FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description protocol stringhttps://github.com/apache/brpc/blob/master/docs/en/client.md#protocolsrpc_timeout_ms int32Max duration of RPC. -1 means wait indefinitely. Default: 2000 (ms)connect_timeout_ms int32Max duration for a connect. -1 means wait indefinitely. Default: 500 (ms)tls_config TlsConfigTLS related config.handshake_max_retry_cnt int32When the server starts, model information from all parties will be collected. At this time, the remote servers may not have started yet, and we need to retry. And if we connect gateway,the max waiting time for each operation will be rpc_timeout_ms + handshake_retry_interval_ms. Maximum number of retries, default: 60handshake_retry_interval_ms int32time between retries, default: 5000msretry_policy_config RetryPolicyConfigretry policy config protocol stringhttps://github.com/apache/brpc/blob/master/docs/en/client.md#protocols protocol protocol  string  string  string  string https://github.com/apache/brpc/blob/master/docs/en/client.md#protocols https://github.com/apache/brpc/blob/master/docs/en/client.md#protocols https://github.com/apache/brpc/blob/master/docs/en/client.md#protocols rpc_timeout_ms int32Max duration of RPC. -1 means wait indefinitely. Default: 2000 (ms) rpc_timeout_ms rpc_timeout_ms  int32  int32  int32  int32 Max duration of RPC. -1 means wait indefinitely. Default: 2000 (ms) Max duration of RPC. -1 means wait indefinitely. Default: 2000 (ms) connect_timeout_ms int32Max duration for a connect. -1 means wait indefinitely. Default: 500 (ms) connect_timeout_ms connect_timeout_ms  int32  int32  int32  int32 Max duration for a connect. -1 means wait indefinitely. Default: 500 (ms) Max duration for a connect. -1 means wait indefinitely. Default: 500 (ms) tls_config TlsConfigTLS related config. tls_config tls_config  TlsConfig  TlsConfig  TlsConfig TLS related config. TLS related config. handshake_max_retry_cnt int32When the server starts, model information from all parties will be collected. At this time, the remote servers may not have started yet, and we need to retry. And if we connect gateway,the max waiting time for each operation will be rpc_timeout_ms + handshake_retry_interval_ms. Maximum number of retries, default: 60 handshake_max_retry_cnt handshake_max_retry_cnt  int32  int32  int32  int32 When the server starts, model information from all parties will be collected. At this time, the remote servers may not have started yet, and we need to retry. And if we connect gateway,the max waiting time for each operation will be rpc_timeout_ms + handshake_retry_interval_ms. Maximum number of retries, default: 60 When the server starts, model information from all parties will be collected. At this time, the remote servers may not have started yet, and we need to retry. And if we connect gateway,the max waiting time for each operation will be rpc_timeout_ms + handshake_retry_interval_ms. Maximum number of retries, default: 60 handshake_retry_interval_ms int32time between retries, default: 5000ms handshake_retry_interval_ms handshake_retry_interval_ms  int32  int32  int32  int32 time between retries, default: 5000ms time between retries, default: 5000ms retry_policy_config RetryPolicyConfigretry policy config retry_policy_config retry_policy_config  RetryPolicyConfig  RetryPolicyConfig  RetryPolicyConfig retry policy config retry policy config  "},"141":{"url":"/serving/main/en/reference/config#clusterconfig","type":"fragment","title":"SecretFlow-Serving Config - ClusterConfig","content":"Runtime config for a serving cluster FieldTypeDescriptionpartiesrepeated PartyDescnoneself_id stringnonechannel_desc ChannelDescnone FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description partiesrepeated PartyDescnoneself_id stringnonechannel_desc ChannelDescnone partiesrepeated PartyDescnone parties parties repeated PartyDesc repeated PartyDesc repeated PartyDesc none none self_id stringnone self_id self_id  string  string  string  string none none channel_desc ChannelDescnone channel_desc channel_desc  ChannelDesc  ChannelDesc  ChannelDesc none none  "},"142":{"url":"/serving/main/en/reference/config#partydesc","type":"fragment","title":"SecretFlow-Serving Config - PartyDesc","content":"Description for a joined party FieldTypeDescriptionid stringUnique id of the partyaddress stringe.g. 127.0.0.1 commucation adress between paries. FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description id stringUnique id of the partyaddress stringe.g. 127.0.0.1 commucation adress between paries. id stringUnique id of the party id id  string  string  string  string Unique id of the party Unique id of the party address stringe.g. 127.0.0.1 commucation adress between paries. address address  string  string  string  string e.g. 127.0.0.1 commucation adress between paries. e.g. 127.0.0.1 commucation adress between paries.  "},"143":{"url":"/serving/main/en/reference/config#csvoptions","type":"fragment","title":"SecretFlow-Serving Config - CsvOptions","content":"Options of a csv feature source. FieldTypeDescriptionfile_path stringInput file path, specifies where to load data Note that this will load all of the data into memory at onceid_name stringId column name, associated with FeatureParam::query_datas Query datas is a subset of id columnstreaming_mode boolOptional. Only for Inferencer tool use. Defatult: falseblock_size int32Optional. Valid only if streaming_mode=true. This determines the size(byte) of each read batch. FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description file_path stringInput file path, specifies where to load data Note that this will load all of the data into memory at onceid_name stringId column name, associated with FeatureParam::query_datas Query datas is a subset of id columnstreaming_mode boolOptional. Only for Inferencer tool use. Defatult: falseblock_size int32Optional. Valid only if streaming_mode=true. This determines the size(byte) of each read batch. file_path stringInput file path, specifies where to load data Note that this will load all of the data into memory at once file_path file_path  string  string  string  string Input file path, specifies where to load data Note that this will load all of the data into memory at once Input file path, specifies where to load data Note that this will load all of the data into memory at once id_name stringId column name, associated with FeatureParam::query_datas Query datas is a subset of id column id_name id_name  string  string  string  string Id column name, associated with FeatureParam::query_datas Query datas is a subset of id column Id column name, associated with FeatureParam::query_datas Query datas is a subset of id column streaming_mode boolOptional. Only for Inferencer tool use. Defatult: false streaming_mode streaming_mode  bool  bool  bool  bool Optional. Only for Inferencer tool use. Defatult: false Optional. Only for Inferencer tool use. Defatult: false block_size int32Optional. Valid only if streaming_mode=true. This determines the size(byte) of each read batch. block_size block_size  int32  int32  int32  int32 Optional. Valid only if streaming_mode=true. This determines the size(byte) of each read batch. Optional. Valid only if streaming_mode=true. This determines the size(byte) of each read batch. streaming_mode=true  "},"144":{"url":"/serving/main/en/reference/config#featuresourceconfig","type":"fragment","title":"SecretFlow-Serving Config - FeatureSourceConfig","content":"Config for a feature source FieldTypeDescriptiononeof options.mock_opts MockOptionsnoneoneof options.http_opts HttpOptionsnoneoneof options.csv_opts CsvOptionsnoneoneof options.streaming_opts StreamingOptionsnone FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description oneof options.mock_opts MockOptionsnoneoneof options.http_opts HttpOptionsnoneoneof options.csv_opts CsvOptionsnoneoneof options.streaming_opts StreamingOptionsnone oneof options.mock_opts MockOptionsnone oneof options.mock_opts oneof options.mock_opts oneof oneof  MockOptions  MockOptions  MockOptions none none oneof options.http_opts HttpOptionsnone oneof options.http_opts oneof options.http_opts oneof oneof  HttpOptions  HttpOptions  HttpOptions none none oneof options.csv_opts CsvOptionsnone oneof options.csv_opts oneof options.csv_opts oneof oneof  CsvOptions  CsvOptions  CsvOptions none none oneof options.streaming_opts StreamingOptionsnone oneof options.streaming_opts oneof options.streaming_opts oneof oneof  StreamingOptions  StreamingOptions  StreamingOptions none none  "},"145":{"url":"/serving/main/en/reference/config#httpoptions","type":"fragment","title":"SecretFlow-Serving Config - HttpOptions","content":"Options for a http feature source which should implement the feature service\nspi. The defined of spi can be found in\nsecretflow_serving/spis/batch_feature_service.proto FieldTypeDescriptionendpoint stringnoneenable_lb boolWhether to enable round robin load balancer. Default: Falseconnect_timeout_ms int32Max duration for a connect. -1 means wait indefinitely. Default: 500 (ms)timeout_ms int32Max duration of http request. -1 means wait indefinitely. Default: 1000 (ms)tls_config TlsConfigTLS related config.retry_policy_config RetryPolicyConfigRetry policy config. FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description endpoint stringnoneenable_lb boolWhether to enable round robin load balancer. Default: Falseconnect_timeout_ms int32Max duration for a connect. -1 means wait indefinitely. Default: 500 (ms)timeout_ms int32Max duration of http request. -1 means wait indefinitely. Default: 1000 (ms)tls_config TlsConfigTLS related config.retry_policy_config RetryPolicyConfigRetry policy config. endpoint stringnone endpoint endpoint  string  string  string  string none none enable_lb boolWhether to enable round robin load balancer. Default: False enable_lb enable_lb  bool  bool  bool  bool Whether to enable round robin load balancer. Default: False Whether to enable round robin load balancer. Default: False connect_timeout_ms int32Max duration for a connect. -1 means wait indefinitely. Default: 500 (ms) connect_timeout_ms connect_timeout_ms  int32  int32  int32  int32 Max duration for a connect. -1 means wait indefinitely. Default: 500 (ms) Max duration for a connect. -1 means wait indefinitely. Default: 500 (ms) timeout_ms int32Max duration of http request. -1 means wait indefinitely. Default: 1000 (ms) timeout_ms timeout_ms  int32  int32  int32  int32 Max duration of http request. -1 means wait indefinitely. Default: 1000 (ms) Max duration of http request. -1 means wait indefinitely. Default: 1000 (ms) tls_config TlsConfigTLS related config. tls_config tls_config  TlsConfig  TlsConfig  TlsConfig TLS related config. TLS related config. retry_policy_config RetryPolicyConfigRetry policy config. retry_policy_config retry_policy_config  RetryPolicyConfig  RetryPolicyConfig  RetryPolicyConfig Retry policy config. Retry policy config.  "},"146":{"url":"/serving/main/en/reference/config#mockoptions","type":"fragment","title":"SecretFlow-Serving Config - MockOptions","content":"Options for a mock feature source.\nMock feature source will generates values(random or fixed, according to type)\nfor the desired features. FieldTypeDescriptiontype MockDataTypedefault MDT_FIXED FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description type MockDataTypedefault MDT_FIXED type MockDataTypedefault MDT_FIXED type type  MockDataType  MockDataType  MockDataType default MDT_FIXED default MDT_FIXED  "},"147":{"url":"/serving/main/en/reference/config#streamingoptions","type":"fragment","title":"SecretFlow-Serving Config - StreamingOptions","content":"Only for Inferencer tool use. FieldTypeDescriptionfile_path stringInput file path, specifies where to load datafile_format stringInput file format. Optional value: CSV Default: CSVid_name stringId column name, associated with FeatureParam::query_datas Query datas is a subset of id columnblock_size int32Optional. This determines the size(byte) of each read batch. FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description file_path stringInput file path, specifies where to load datafile_format stringInput file format. Optional value: CSV Default: CSVid_name stringId column name, associated with FeatureParam::query_datas Query datas is a subset of id columnblock_size int32Optional. This determines the size(byte) of each read batch. file_path stringInput file path, specifies where to load data file_path file_path  string  string  string  string Input file path, specifies where to load data Input file path, specifies where to load data file_format stringInput file format. Optional value: CSV Default: CSV file_format file_format  string  string  string  string Input file format. Optional value: CSV Default: CSV Input file format. Optional value: CSV Default: CSV id_name stringId column name, associated with FeatureParam::query_datas Query datas is a subset of id column id_name id_name  string  string  string  string Id column name, associated with FeatureParam::query_datas Query datas is a subset of id column Id column name, associated with FeatureParam::query_datas Query datas is a subset of id column block_size int32Optional. This determines the size(byte) of each read batch. block_size block_size  int32  int32  int32  int32 Optional. This determines the size(byte) of each read batch. Optional. This determines the size(byte) of each read batch.  "},"148":{"url":"/serving/main/en/reference/config#loggingconfig","type":"fragment","title":"SecretFlow-Serving Config - LoggingConfig","content":"Serving log config options FieldTypeDescriptionsystem_log_path stringsystem log default value: “serving.log”log_level LogLeveldefault value: LogLevel.INFO_LOG_LEVELmax_log_file_size int32Byte. default value: 500 * 1024 * 1024 (500MB)max_log_file_count int32default value: 10 FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description system_log_path stringsystem log default value: “serving.log”log_level LogLeveldefault value: LogLevel.INFO_LOG_LEVELmax_log_file_size int32Byte. default value: 500 * 1024 * 1024 (500MB)max_log_file_count int32default value: 10 system_log_path stringsystem log default value: “serving.log” system_log_path system_log_path  string  string  string  string system log default value: “serving.log” system log default value: “serving.log” log_level LogLeveldefault value: LogLevel.INFO_LOG_LEVEL log_level log_level  LogLevel  LogLevel  LogLevel default value: LogLevel.INFO_LOG_LEVEL default value: LogLevel.INFO_LOG_LEVEL max_log_file_size int32Byte. default value: 500 * 1024 * 1024 (500MB) max_log_file_size max_log_file_size  int32  int32  int32  int32 Byte. default value: 500 * 1024 * 1024 (500MB) Byte. default value: 500 * 1024 * 1024 (500MB) max_log_file_count int32default value: 10 max_log_file_count max_log_file_count  int32  int32  int32  int32 default value: 10 default value: 10  "},"149":{"url":"/serving/main/en/reference/config#dpsourcemeta","type":"fragment","title":"SecretFlow-Serving Config - DPSourceMeta","content":"FieldTypeDescriptiondm_host stringdatamesh host.tls_config TlsConfigTLS related config. FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description dm_host stringdatamesh host.tls_config TlsConfigTLS related config. dm_host stringdatamesh host. dm_host dm_host  string  string  string  string datamesh host. datamesh host. tls_config TlsConfigTLS related config. tls_config tls_config  TlsConfig  TlsConfig  TlsConfig TLS related config. TLS related config.  "},"150":{"url":"/serving/main/en/reference/config#filesourcemeta","type":"fragment","title":"SecretFlow-Serving Config - FileSourceMeta","content":"empty by design  "},"151":{"url":"/serving/main/en/reference/config#httpsourcemeta","type":"fragment","title":"SecretFlow-Serving Config - HttpSourceMeta","content":"FieldTypeDescriptionconnect_timeout_ms int32Max duration for a connect. -1 means wait indefinitely. Default: 60 * 1000 (ms)timeout_ms int32Max duration of http request. -1 means wait indefinitely. Default: 120 * 1000 (ms)tls_config TlsConfigTLS related config. FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description connect_timeout_ms int32Max duration for a connect. -1 means wait indefinitely. Default: 60 * 1000 (ms)timeout_ms int32Max duration of http request. -1 means wait indefinitely. Default: 120 * 1000 (ms)tls_config TlsConfigTLS related config. connect_timeout_ms int32Max duration for a connect. -1 means wait indefinitely. Default: 60 * 1000 (ms) connect_timeout_ms connect_timeout_ms  int32  int32  int32  int32 Max duration for a connect. -1 means wait indefinitely. Default: 60 * 1000 (ms) Max duration for a connect. -1 means wait indefinitely. Default: 60 * 1000 (ms) timeout_ms int32Max duration of http request. -1 means wait indefinitely. Default: 120 * 1000 (ms) timeout_ms timeout_ms  int32  int32  int32  int32 Max duration of http request. -1 means wait indefinitely. Default: 120 * 1000 (ms) Max duration of http request. -1 means wait indefinitely. Default: 120 * 1000 (ms) tls_config TlsConfigTLS related config. tls_config tls_config  TlsConfig  TlsConfig  TlsConfig TLS related config. TLS related config.  "},"152":{"url":"/serving/main/en/reference/config#modelconfig","type":"fragment","title":"SecretFlow-Serving Config - ModelConfig","content":"Config for serving model FieldTypeDescriptionmodel_id stringUnique id of the model packagebase_path stringPath used to cache and load model packagesource_path stringThe path to the model package in the data source, where the content format may vary depending on the source_typesource_sha256 stringOptional. The expect sha256 of the model packagesource_type SourceTypenoneoneof kind.file_source_meta FileSourceMetanoneoneof kind.oss_source_meta OSSSourceMetanoneoneof kind.http_source_meta HttpSourceMetanoneoneof kind.dp_source_meta DPSourceMetanone FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description model_id stringUnique id of the model packagebase_path stringPath used to cache and load model packagesource_path stringThe path to the model package in the data source, where the content format may vary depending on the source_typesource_sha256 stringOptional. The expect sha256 of the model packagesource_type SourceTypenoneoneof kind.file_source_meta FileSourceMetanoneoneof kind.oss_source_meta OSSSourceMetanoneoneof kind.http_source_meta HttpSourceMetanoneoneof kind.dp_source_meta DPSourceMetanone model_id stringUnique id of the model package model_id model_id  string  string  string  string Unique id of the model package Unique id of the model package base_path stringPath used to cache and load model package base_path base_path  string  string  string  string Path used to cache and load model package Path used to cache and load model package source_path stringThe path to the model package in the data source, where the content format may vary depending on the source_type source_path source_path  string  string  string  string The path to the model package in the data source, where the content format may vary depending on the source_type The path to the model package in the data source, where the content format may vary depending on the source_type source_type source_sha256 stringOptional. The expect sha256 of the model package source_sha256 source_sha256  string  string  string  string Optional. The expect sha256 of the model package Optional. The expect sha256 of the model package source_type SourceTypenone source_type source_type  SourceType  SourceType  SourceType none none oneof kind.file_source_meta FileSourceMetanone oneof kind.file_source_meta oneof kind.file_source_meta oneof oneof  FileSourceMeta  FileSourceMeta  FileSourceMeta none none oneof kind.oss_source_meta OSSSourceMetanone oneof kind.oss_source_meta oneof kind.oss_source_meta oneof oneof  OSSSourceMeta  OSSSourceMeta  OSSSourceMeta none none oneof kind.http_source_meta HttpSourceMetanone oneof kind.http_source_meta oneof kind.http_source_meta oneof oneof  HttpSourceMeta  HttpSourceMeta  HttpSourceMeta none none oneof kind.dp_source_meta DPSourceMetanone oneof kind.dp_source_meta oneof kind.dp_source_meta oneof oneof  DPSourceMeta  DPSourceMeta  DPSourceMeta none none  "},"153":{"url":"/serving/main/en/reference/config#osssourcemeta","type":"fragment","title":"SecretFlow-Serving Config - OSSSourceMeta","content":"Options for a Oss model source. Serving accesses data services using the AWS\nS3 protocol. FieldTypeDescriptionaccess_key stringBucket access keysecret_key stringBucket secret keyvirtual_hosted boolWhether to use virtual host mode, ref: https://docs.aws.amazon.com/AmazonS3/latest/userguide/VirtualHosting.html Defalut: Falseendpoint stringnonebucket stringnone FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description access_key stringBucket access keysecret_key stringBucket secret keyvirtual_hosted boolWhether to use virtual host mode, ref: https://docs.aws.amazon.com/AmazonS3/latest/userguide/VirtualHosting.html Defalut: Falseendpoint stringnonebucket stringnone access_key stringBucket access key access_key access_key  string  string  string  string Bucket access key Bucket access key secret_key stringBucket secret key secret_key secret_key  string  string  string  string Bucket secret key Bucket secret key virtual_hosted boolWhether to use virtual host mode, ref: https://docs.aws.amazon.com/AmazonS3/latest/userguide/VirtualHosting.html Defalut: False virtual_hosted virtual_hosted  bool  bool  bool  bool Whether to use virtual host mode, ref: https://docs.aws.amazon.com/AmazonS3/latest/userguide/VirtualHosting.html Defalut: False Whether to use virtual host mode, ref: https://docs.aws.amazon.com/AmazonS3/latest/userguide/VirtualHosting.html Defalut: False https://docs.aws.amazon.com/AmazonS3/latest/userguide/VirtualHosting.html endpoint stringnone endpoint endpoint  string  string  string  string none none bucket stringnone bucket bucket  string  string  string  string none none  "},"154":{"url":"/serving/main/en/reference/config#exponentialbackoffconfig","type":"fragment","title":"SecretFlow-Serving Config - ExponentialBackOffConfig","content":"FieldTypeDescriptioninit_ms int32The initial backoff time in milliseconds, default 10ms.factor int32The backoff time increase factor, should be greater than 1, default 2. FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description init_ms int32The initial backoff time in milliseconds, default 10ms.factor int32The backoff time increase factor, should be greater than 1, default 2. init_ms int32The initial backoff time in milliseconds, default 10ms. init_ms init_ms  int32  int32  int32  int32 The initial backoff time in milliseconds, default 10ms. The initial backoff time in milliseconds, default 10ms. factor int32The backoff time increase factor, should be greater than 1, default 2. factor factor  int32  int32  int32  int32 The backoff time increase factor, should be greater than 1, default 2. The backoff time increase factor, should be greater than 1, default 2.  "},"155":{"url":"/serving/main/en/reference/config#fixedbackoffconfig","type":"fragment","title":"SecretFlow-Serving Config - FixedBackOffConfig","content":"FieldTypeDescriptioninterval_ms int32The backoff time between each retry, in milliseconds, default 10ms. FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description interval_ms int32The backoff time between each retry, in milliseconds, default 10ms. interval_ms int32The backoff time between each retry, in milliseconds, default 10ms. interval_ms interval_ms  int32  int32  int32  int32 The backoff time between each retry, in milliseconds, default 10ms. The backoff time between each retry, in milliseconds, default 10ms.  "},"156":{"url":"/serving/main/en/reference/config#randombackoffconfig","type":"fragment","title":"SecretFlow-Serving Config - RandomBackOffConfig","content":"FieldTypeDescriptionmin_ms int32The minimum backoff time in milliseconds, default 10ms.max_ms int32The maximum backoff time in milliseconds, default 50ms. FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description min_ms int32The minimum backoff time in milliseconds, default 10ms.max_ms int32The maximum backoff time in milliseconds, default 50ms. min_ms int32The minimum backoff time in milliseconds, default 10ms. min_ms min_ms  int32  int32  int32  int32 The minimum backoff time in milliseconds, default 10ms. The minimum backoff time in milliseconds, default 10ms. max_ms int32The maximum backoff time in milliseconds, default 50ms. max_ms max_ms  int32  int32  int32  int32 The maximum backoff time in milliseconds, default 50ms. The maximum backoff time in milliseconds, default 50ms.  "},"157":{"url":"/serving/main/en/reference/config#retrypolicyconfig","type":"fragment","title":"SecretFlow-Serving Config - RetryPolicyConfig","content":"FieldTypeDescriptionretry_custom boolDefault is false, the error code of brpc’s retry strategy is used. If it is True, it will be retried on additional error codes, including some http errors (brpc does not retry http errors by default)retry_aggressive boolWhether to retry on any http or brpc error expect brpc::ERPCTIMEDOUT, default is false.max_retry_count int32The number of retries, default 3.backoff_mode RetryPolicyBackOffModebackoff time mode, default is FIX_BACKOFF.oneof backoff_config.fixed_backoff_config FixedBackOffConfigThe fixed backoff time config.oneof backoff_config.exponential_backoff_config ExponentialBackOffConfigThe exponential backoff time config.oneof backoff_config.random_backoff_config RandomBackOffConfigThe random backoff time config. FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description retry_custom boolDefault is false, the error code of brpc’s retry strategy is used. If it is True, it will be retried on additional error codes, including some http errors (brpc does not retry http errors by default)retry_aggressive boolWhether to retry on any http or brpc error expect brpc::ERPCTIMEDOUT, default is false.max_retry_count int32The number of retries, default 3.backoff_mode RetryPolicyBackOffModebackoff time mode, default is FIX_BACKOFF.oneof backoff_config.fixed_backoff_config FixedBackOffConfigThe fixed backoff time config.oneof backoff_config.exponential_backoff_config ExponentialBackOffConfigThe exponential backoff time config.oneof backoff_config.random_backoff_config RandomBackOffConfigThe random backoff time config. retry_custom boolDefault is false, the error code of brpc’s retry strategy is used. If it is True, it will be retried on additional error codes, including some http errors (brpc does not retry http errors by default) retry_custom retry_custom  bool  bool  bool  bool Default is false, the error code of brpc’s retry strategy is used. If it is True, it will be retried on additional error codes, including some http errors (brpc does not retry http errors by default) Default is false, the error code of brpc’s retry strategy is used. If it is True, it will be retried on additional error codes, including some http errors (brpc does not retry http errors by default) retry_aggressive boolWhether to retry on any http or brpc error expect brpc::ERPCTIMEDOUT, default is false. retry_aggressive retry_aggressive  bool  bool  bool  bool Whether to retry on any http or brpc error expect brpc::ERPCTIMEDOUT, default is false. Whether to retry on any http or brpc error expect brpc::ERPCTIMEDOUT, default is false. max_retry_count int32The number of retries, default 3. max_retry_count max_retry_count  int32  int32  int32  int32 The number of retries, default 3. The number of retries, default 3. backoff_mode RetryPolicyBackOffModebackoff time mode, default is FIX_BACKOFF. backoff_mode backoff_mode  RetryPolicyBackOffMode  RetryPolicyBackOffMode  RetryPolicyBackOffMode backoff time mode, default is FIX_BACKOFF. backoff time mode, default is FIX_BACKOFF. oneof backoff_config.fixed_backoff_config FixedBackOffConfigThe fixed backoff time config. oneof backoff_config.fixed_backoff_config oneof backoff_config.fixed_backoff_config oneof oneof  FixedBackOffConfig  FixedBackOffConfig  FixedBackOffConfig The fixed backoff time config. The fixed backoff time config. oneof backoff_config.exponential_backoff_config ExponentialBackOffConfigThe exponential backoff time config. oneof backoff_config.exponential_backoff_config oneof backoff_config.exponential_backoff_config oneof oneof  ExponentialBackOffConfig  ExponentialBackOffConfig  ExponentialBackOffConfig The exponential backoff time config. The exponential backoff time config. oneof backoff_config.random_backoff_config RandomBackOffConfigThe random backoff time config. oneof backoff_config.random_backoff_config oneof backoff_config.random_backoff_config oneof oneof  RandomBackOffConfig  RandomBackOffConfig  RandomBackOffConfig The random backoff time config. The random backoff time config.  "},"158":{"url":"/serving/main/en/reference/config#serverconfig","type":"fragment","title":"SecretFlow-Serving Config - ServerConfig","content":"FieldTypeDescriptionfeature_mappingmap ServerConfig.FeatureMappingEntryOptional. Feature name mapping rules. Key: source or predefined feature name. Value: model feature name.tls_config TlsConfigWhether to enable tls for serverhost stringe.g. 192.168.2.51service_port int32The port used for model predict service. Default: disable servicecommunication_port int32The port used for communication between parties serving.brpc_builtin_service_port int32Brpc builtin service listen port. Default: disable servicemetrics_exposer_port int32/metrics service listen port. Default: disable serviceworker_num int32Number of pthreads that server runs on. If this option <= 0, use default value. Default: #cpu-coresmax_concurrency int32Server-level max number of requests processed in parallel. Default: 0 (unlimited)op_exec_worker_num int32Number of pthreads that server runs to execute ops. If this option <= 0, use default value. Default: #cpu-cores FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description feature_mappingmap ServerConfig.FeatureMappingEntryOptional. Feature name mapping rules. Key: source or predefined feature name. Value: model feature name.tls_config TlsConfigWhether to enable tls for serverhost stringe.g. 192.168.2.51service_port int32The port used for model predict service. Default: disable servicecommunication_port int32The port used for communication between parties serving.brpc_builtin_service_port int32Brpc builtin service listen port. Default: disable servicemetrics_exposer_port int32/metrics service listen port. Default: disable serviceworker_num int32Number of pthreads that server runs on. If this option <= 0, use default value. Default: #cpu-coresmax_concurrency int32Server-level max number of requests processed in parallel. Default: 0 (unlimited)op_exec_worker_num int32Number of pthreads that server runs to execute ops. If this option <= 0, use default value. Default: #cpu-cores feature_mappingmap ServerConfig.FeatureMappingEntryOptional. Feature name mapping rules. Key: source or predefined feature name. Value: model feature name. feature_mapping feature_mapping map ServerConfig.FeatureMappingEntry map ServerConfig.FeatureMappingEntry map ServerConfig.FeatureMappingEntry map ServerConfig.FeatureMappingEntry Optional. Feature name mapping rules. Key: source or predefined feature name. Value: model feature name. Optional. Feature name mapping rules. Key: source or predefined feature name. Value: model feature name. tls_config TlsConfigWhether to enable tls for server tls_config tls_config  TlsConfig  TlsConfig  TlsConfig Whether to enable tls for server Whether to enable tls for server host stringe.g. 192.168.2.51 host host  string  string  string  string e.g. 192.168.2.51 e.g. 192.168.2.51 service_port int32The port used for model predict service. Default: disable service service_port service_port  int32  int32  int32  int32 The port used for model predict service. Default: disable service The port used for model predict service. Default: disable service communication_port int32The port used for communication between parties serving. communication_port communication_port  int32  int32  int32  int32 The port used for communication between parties serving. The port used for communication between parties serving. brpc_builtin_service_port int32Brpc builtin service listen port. Default: disable service brpc_builtin_service_port brpc_builtin_service_port  int32  int32  int32  int32 Brpc builtin service listen port. Default: disable service Brpc builtin service listen port. Default: disable service metrics_exposer_port int32/metrics service listen port. Default: disable service metrics_exposer_port metrics_exposer_port  int32  int32  int32  int32 /metrics service listen port. Default: disable service /metrics service listen port. Default: disable service /metrics worker_num int32Number of pthreads that server runs on. If this option <= 0, use default value. Default: #cpu-cores worker_num worker_num  int32  int32  int32  int32 Number of pthreads that server runs on. If this option <= 0, use default value. Default: #cpu-cores Number of pthreads that server runs on. If this option <= 0, use default value. Default: #cpu-cores max_concurrency int32Server-level max number of requests processed in parallel. Default: 0 (unlimited) max_concurrency max_concurrency  int32  int32  int32  int32 Server-level max number of requests processed in parallel. Default: 0 (unlimited) Server-level max number of requests processed in parallel. Default: 0 (unlimited) op_exec_worker_num int32Number of pthreads that server runs to execute ops. If this option <= 0, use default value. Default: #cpu-cores op_exec_worker_num op_exec_worker_num  int32  int32  int32  int32 Number of pthreads that server runs to execute ops. If this option <= 0, use default value. Default: #cpu-cores Number of pthreads that server runs to execute ops. If this option <= 0, use default value. Default: #cpu-cores  "},"159":{"url":"/serving/main/en/reference/config#serverconfig-featuremappingentry","type":"fragment","title":"SecretFlow-Serving Config - ServerConfig.FeatureMappingEntry","content":"FieldTypeDescriptionkey stringnonevalue stringnone FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description key stringnonevalue stringnone key stringnone key key  string  string  string  string none none value stringnone value value  string  string  string  string none none  "},"160":{"url":"/serving/main/en/reference/config#servingconfig","type":"fragment","title":"SecretFlow-Serving Config - ServingConfig","content":"Related config of serving FieldTypeDescriptionid stringUnique id of the serving serviceserver_conf ServerConfignonemodel_conf ModelConfignonecluster_conf ClusterConfignonefeature_source_conf FeatureSourceConfignone FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description id stringUnique id of the serving serviceserver_conf ServerConfignonemodel_conf ModelConfignonecluster_conf ClusterConfignonefeature_source_conf FeatureSourceConfignone id stringUnique id of the serving service id id  string  string  string  string Unique id of the serving service Unique id of the serving service server_conf ServerConfignone server_conf server_conf  ServerConfig  ServerConfig  ServerConfig none none model_conf ModelConfignone model_conf model_conf  ModelConfig  ModelConfig  ModelConfig none none cluster_conf ClusterConfignone cluster_conf cluster_conf  ClusterConfig  ClusterConfig  ClusterConfig none none feature_source_conf FeatureSourceConfignone feature_source_conf feature_source_conf  FeatureSourceConfig  FeatureSourceConfig  FeatureSourceConfig none none  "},"161":{"url":"/serving/main/en/reference/config#tlsconfig","type":"fragment","title":"SecretFlow-Serving Config - TlsConfig","content":"FieldTypeDescriptioncertificate_path stringCertificate file pathprivate_key_path stringPrivate key file pathca_file_path stringThe trusted CA file to verify the peer’s certificate If empty, turn off the verification FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description certificate_path stringCertificate file pathprivate_key_path stringPrivate key file pathca_file_path stringThe trusted CA file to verify the peer’s certificate If empty, turn off the verification certificate_path stringCertificate file path certificate_path certificate_path  string  string  string  string Certificate file path Certificate file path private_key_path stringPrivate key file path private_key_path private_key_path  string  string  string  string Private key file path Private key file path ca_file_path stringThe trusted CA file to verify the peer’s certificate If empty, turn off the verification ca_file_path ca_file_path  string  string  string  string The trusted CA file to verify the peer’s certificate If empty, turn off the verification The trusted CA file to verify the peer’s certificate If empty, turn off the verification  "},"162":{"url":"/serving/main/en/reference/config#traceconfig","type":"fragment","title":"SecretFlow-Serving Config - TraceConfig","content":"Serving trace config options FieldTypeDescriptiontrace_log_enable booldump trace to a logfile, default: falsetrace_log_conf TraceLogConfigif trace_log_enable is true, use this log config to dump trace info FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description trace_log_enable booldump trace to a logfile, default: falsetrace_log_conf TraceLogConfigif trace_log_enable is true, use this log config to dump trace info trace_log_enable booldump trace to a logfile, default: false trace_log_enable trace_log_enable  bool  bool  bool  bool dump trace to a logfile, default: false dump trace to a logfile, default: false trace_log_conf TraceLogConfigif trace_log_enable is true, use this log config to dump trace info trace_log_conf trace_log_conf  TraceLogConfig  TraceLogConfig  TraceLogConfig if trace_log_enable is true, use this log config to dump trace info if trace_log_enable is true, use this log config to dump trace info  "},"163":{"url":"/serving/main/en/reference/config#tracelogconfig","type":"fragment","title":"SecretFlow-Serving Config - TraceLogConfig","content":"FieldTypeDescriptiontrace_log_path stringdefaule value: “trace.log”max_trace_log_file_size int32Byte. default value: 500 * 1024 * 1024 (500MB)max_trace_log_file_count int32default value: 10 FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description trace_log_path stringdefaule value: “trace.log”max_trace_log_file_size int32Byte. default value: 500 * 1024 * 1024 (500MB)max_trace_log_file_count int32default value: 10 trace_log_path stringdefaule value: “trace.log” trace_log_path trace_log_path  string  string  string  string defaule value: “trace.log” defaule value: “trace.log” max_trace_log_file_size int32Byte. default value: 500 * 1024 * 1024 (500MB) max_trace_log_file_size max_trace_log_file_size  int32  int32  int32  int32 Byte. default value: 500 * 1024 * 1024 (500MB) Byte. default value: 500 * 1024 * 1024 (500MB) max_trace_log_file_count int32default value: 10 max_trace_log_file_count max_trace_log_file_count  int32  int32  int32  int32 default value: 10 default value: 10  "},"164":{"url":"/serving/main/en/reference/config#enums","type":"fragment","title":"SecretFlow-Serving Config - Enums","content":" "},"165":{"url":"/serving/main/en/reference/config#mockdatatype","type":"fragment","title":"SecretFlow-Serving Config - MockDataType","content":"NameNumberDescriptionINVALID_MOCK_DATA_TYPE0Placeholder for proto3 default value, do not use it.MDT_RANDOM1random value for each featureMDT_FIXED2fixed value for each feature NameNumberDescription NameNumberDescription Name Name Number Number Description Description INVALID_MOCK_DATA_TYPE0Placeholder for proto3 default value, do not use it.MDT_RANDOM1random value for each featureMDT_FIXED2fixed value for each feature INVALID_MOCK_DATA_TYPE0Placeholder for proto3 default value, do not use it. INVALID_MOCK_DATA_TYPE INVALID_MOCK_DATA_TYPE 0 0 Placeholder for proto3 default value, do not use it. Placeholder for proto3 default value, do not use it. MDT_RANDOM1random value for each feature MDT_RANDOM MDT_RANDOM 1 1 random value for each feature random value for each feature MDT_FIXED2fixed value for each feature MDT_FIXED MDT_FIXED 2 2 fixed value for each feature fixed value for each feature  "},"166":{"url":"/serving/main/en/reference/config#loglevel","type":"fragment","title":"SecretFlow-Serving Config - LogLevel","content":"Serving log level NameNumberDescriptionINVALID_LOG_LEVEL0Placeholder for proto3 default value, do not use it.DEBUG_LOG_LEVEL1debugINFO_LOG_LEVEL2infoWARN_LOG_LEVEL3warnERROR_LOG_LEVEL4error NameNumberDescription NameNumberDescription Name Name Number Number Description Description INVALID_LOG_LEVEL0Placeholder for proto3 default value, do not use it.DEBUG_LOG_LEVEL1debugINFO_LOG_LEVEL2infoWARN_LOG_LEVEL3warnERROR_LOG_LEVEL4error INVALID_LOG_LEVEL0Placeholder for proto3 default value, do not use it. INVALID_LOG_LEVEL INVALID_LOG_LEVEL 0 0 Placeholder for proto3 default value, do not use it. Placeholder for proto3 default value, do not use it. DEBUG_LOG_LEVEL1debug DEBUG_LOG_LEVEL DEBUG_LOG_LEVEL 1 1 debug debug INFO_LOG_LEVEL2info INFO_LOG_LEVEL INFO_LOG_LEVEL 2 2 info info WARN_LOG_LEVEL3warn WARN_LOG_LEVEL WARN_LOG_LEVEL 3 3 warn warn ERROR_LOG_LEVEL4error ERROR_LOG_LEVEL ERROR_LOG_LEVEL 4 4 error error  "},"167":{"url":"/serving/main/en/reference/config#sourcetype","type":"fragment","title":"SecretFlow-Serving Config - SourceType","content":"Supported model source type NameNumberDescriptionINVALID_SOURCE_TYPE0Placeholder for proto3 default value, do not use it.ST_FILE1Local filesystemST_OSS2OSS/AWS S3ST_HTTP3Http sourceST_DP4DataProxy source NameNumberDescription NameNumberDescription Name Name Number Number Description Description INVALID_SOURCE_TYPE0Placeholder for proto3 default value, do not use it.ST_FILE1Local filesystemST_OSS2OSS/AWS S3ST_HTTP3Http sourceST_DP4DataProxy source INVALID_SOURCE_TYPE0Placeholder for proto3 default value, do not use it. INVALID_SOURCE_TYPE INVALID_SOURCE_TYPE 0 0 Placeholder for proto3 default value, do not use it. Placeholder for proto3 default value, do not use it. ST_FILE1Local filesystem ST_FILE ST_FILE 1 1 Local filesystem Local filesystem ST_OSS2OSS/AWS S3 ST_OSS ST_OSS 2 2 OSS/AWS S3 OSS/AWS S3 ST_HTTP3Http source ST_HTTP ST_HTTP 3 3 Http source Http source ST_DP4DataProxy source ST_DP ST_DP 4 4 DataProxy source DataProxy source  "},"168":{"url":"/serving/main/en/reference/config#retrypolicybackoffmode","type":"fragment","title":"SecretFlow-Serving Config - RetryPolicyBackOffMode","content":"NameNumberDescriptionINVALID_MODE0No retry.FIXED_BACKOFF1Retry with fixed backoff.EXPONENTIAL_BACKOFF2Retry with exponential backoff.RANDOM_BACKOFF3Retry with random backoff. NameNumberDescription NameNumberDescription Name Name Number Number Description Description INVALID_MODE0No retry.FIXED_BACKOFF1Retry with fixed backoff.EXPONENTIAL_BACKOFF2Retry with exponential backoff.RANDOM_BACKOFF3Retry with random backoff. INVALID_MODE0No retry. INVALID_MODE INVALID_MODE 0 0 No retry. No retry. FIXED_BACKOFF1Retry with fixed backoff. FIXED_BACKOFF FIXED_BACKOFF 1 1 Retry with fixed backoff. Retry with fixed backoff. EXPONENTIAL_BACKOFF2Retry with exponential backoff. EXPONENTIAL_BACKOFF EXPONENTIAL_BACKOFF 2 2 Retry with exponential backoff. Retry with exponential backoff. RANDOM_BACKOFF3Retry with random backoff. RANDOM_BACKOFF RANDOM_BACKOFF 3 3 Retry with random backoff. Retry with random backoff.  "},"169":{"url":"/serving/main/en/reference/config#scalar-value-types","type":"fragment","title":"SecretFlow-Serving Config - Scalar Value Types","content":".proto TypeNotesC++ TypeJava TypePython Type doubledoubledoublefloat floatfloatfloatfloat int32Uses variable-length encoding. Inefficient for encoding negative numbers – if your field is likely to have negative values, use sint32 instead.int32intint int64Uses variable-length encoding. Inefficient for encoding negative numbers – if your field is likely to have negative values, use sint64 instead.int64longint/long uint32Uses variable-length encoding.uint32intint/long uint64Uses variable-length encoding.uint64longint/long sint32Uses variable-length encoding. Signed int value. These more efficiently encode negative numbers than regular int32s.int32intint sint64Uses variable-length encoding. Signed int value. These more efficiently encode negative numbers than regular int64s.int64longint/long fixed32Always four bytes. More efficient than uint32 if values are often greater than 2^28.uint32intint fixed64Always eight bytes. More efficient than uint64 if values are often greater than 2^56.uint64longint/long sfixed32Always four bytes.int32intint sfixed64Always eight bytes.int64longint/long boolboolbooleanboolean stringA string must always contain UTF-8 encoded or 7-bit ASCII text.stringStringstr/unicode bytesMay contain any arbitrary sequence of bytes.stringByteStringstr .proto TypeNotesC++ TypeJava TypePython Type .proto TypeNotesC++ TypeJava TypePython Type .proto Type .proto Type Notes Notes C++ Type C++ Type Java Type Java Type Python Type Python Type  doubledoubledoublefloat floatfloatfloatfloat int32Uses variable-length encoding. Inefficient for encoding negative numbers – if your field is likely to have negative values, use sint32 instead.int32intint int64Uses variable-length encoding. Inefficient for encoding negative numbers – if your field is likely to have negative values, use sint64 instead.int64longint/long uint32Uses variable-length encoding.uint32intint/long uint64Uses variable-length encoding.uint64longint/long sint32Uses variable-length encoding. Signed int value. These more efficiently encode negative numbers than regular int32s.int32intint sint64Uses variable-length encoding. Signed int value. These more efficiently encode negative numbers than regular int64s.int64longint/long fixed32Always four bytes. More efficient than uint32 if values are often greater than 2^28.uint32intint fixed64Always eight bytes. More efficient than uint64 if values are often greater than 2^56.uint64longint/long sfixed32Always four bytes.int32intint sfixed64Always eight bytes.int64longint/long boolboolbooleanboolean stringA string must always contain UTF-8 encoded or 7-bit ASCII text.stringStringstr/unicode bytesMay contain any arbitrary sequence of bytes.stringByteStringstr  doubledoubledoublefloat  double  double  "},"170":{"url":"/serving/main/en/topics#topics","type":"fragment","title":"Topics","content":" system\nSecretFlow-Serving System Introduction\n\nKey Features\nArchitecture\n\n\nSecretFlow-Serving System Observability\nLogs\nMetrics\n\nFormat\nMetric entries\n\n\nTrace\n\nConfigure\nFormat\nAttributes\n\n\nFeature Service\n\nStep 1: Implement and deploy the feature service\nStep 2: Configure startup config\n\n\n system system \nSecretFlow-Serving System Introduction\n\nKey Features\nArchitecture\n\n\nSecretFlow-Serving System Observability\nLogs\nMetrics\n\nFormat\nMetric entries\n\n\nTrace\n\nConfigure\nFormat\nAttributes\n\n\nFeature Service\n\nStep 1: Implement and deploy the feature service\nStep 2: Configure startup config\n\n\n SecretFlow-Serving System Introduction\n\nKey Features\nArchitecture\n\n SecretFlow-Serving System Introduction \nKey Features\nArchitecture\n Key Features Key Features Architecture Architecture SecretFlow-Serving System Observability SecretFlow-Serving System Observability Logs Logs Metrics\n\nFormat\nMetric entries\n\n Metrics \nFormat\nMetric entries\n Format Format Metric entries Metric entries Trace\n\nConfigure\nFormat\nAttributes\n\n Trace \nConfigure\nFormat\nAttributes\n Configure Configure Format Format Attributes Attributes Feature Service\n\nStep 1: Implement and deploy the feature service\nStep 2: Configure startup config\n\n Feature Service \nStep 1: Implement and deploy the feature service\nStep 2: Configure startup config\n Step 1: Implement and deploy the feature service Step 1: Implement and deploy the feature service Step 2: Configure startup config Step 2: Configure startup config deployment\nHow to deployment SecretFlow-Serving\n\nDeployment Diagram\nStep 1: Deploy SecretFlow-Serving\nStep 2: Start Serving Service\nStep 3: Predict Test\n\n\nSecretFlow-Serving on Kuscia\n\nAppImage\nConfiguration description\n\n\n deployment deployment \nHow to deployment SecretFlow-Serving\n\nDeployment Diagram\nStep 1: Deploy SecretFlow-Serving\nStep 2: Start Serving Service\nStep 3: Predict Test\n\n\nSecretFlow-Serving on Kuscia\n\nAppImage\nConfiguration description\n\n\n How to deployment SecretFlow-Serving\n\nDeployment Diagram\nStep 1: Deploy SecretFlow-Serving\nStep 2: Start Serving Service\nStep 3: Predict Test\n\n How to deployment SecretFlow-Serving \nDeployment Diagram\nStep 1: Deploy SecretFlow-Serving\nStep 2: Start Serving Service\nStep 3: Predict Test\n Deployment Diagram Deployment Diagram Step 1: Deploy SecretFlow-Serving Step 1: Deploy SecretFlow-Serving Step 2: Start Serving Service Step 2: Start Serving Service Step 3: Predict Test Step 3: Predict Test SecretFlow-Serving on Kuscia\n\nAppImage\nConfiguration description\n\n SecretFlow-Serving on Kuscia \nAppImage\nConfiguration description\n AppImage AppImage Configuration description Configuration description graph\nIntroduction to Graph\n\nOperators\nAttributes\nNodes\nGraphs\nExecutions\n\n\nSecretFlow-Serving Operator List\n\nPHE_2P_TREE_SELECT\nTREE_SELECT\nARROW_PROCESSING\nPHE_2P_DOT_PRODUCT\nDOT_PRODUCT\nTREE_ENSEMBLE_PREDICT\nPHE_2P_DECRYPT_PEER_Y\nMERGE_Y\nPHE_2P_TREE_ENSEMBLE_MERGE\nPHE_2P_MERGE_Y\nTREE_MERGE\nPHE_2P_REDUCE\nPHE_2P_TREE_ENSEMBLE_PREDICT\nPHE_2P_TREE_MERGE\n\n\n graph graph \nIntroduction to Graph\n\nOperators\nAttributes\nNodes\nGraphs\nExecutions\n\n\nSecretFlow-Serving Operator List\n\nPHE_2P_TREE_SELECT\nTREE_SELECT\nARROW_PROCESSING\nPHE_2P_DOT_PRODUCT\nDOT_PRODUCT\nTREE_ENSEMBLE_PREDICT\nPHE_2P_DECRYPT_PEER_Y\nMERGE_Y\nPHE_2P_TREE_ENSEMBLE_MERGE\nPHE_2P_MERGE_Y\nTREE_MERGE\nPHE_2P_REDUCE\nPHE_2P_TREE_ENSEMBLE_PREDICT\nPHE_2P_TREE_MERGE\n\n\n Introduction to Graph\n\nOperators\nAttributes\nNodes\nGraphs\nExecutions\n\n Introduction to Graph \nOperators\nAttributes\nNodes\nGraphs\nExecutions\n Operators Operators Attributes Attributes Nodes Nodes Graphs Graphs Executions Executions SecretFlow-Serving Operator List\n\nPHE_2P_TREE_SELECT\nTREE_SELECT\nARROW_PROCESSING\nPHE_2P_DOT_PRODUCT\nDOT_PRODUCT\nTREE_ENSEMBLE_PREDICT\nPHE_2P_DECRYPT_PEER_Y\nMERGE_Y\nPHE_2P_TREE_ENSEMBLE_MERGE\nPHE_2P_MERGE_Y\nTREE_MERGE\nPHE_2P_REDUCE\nPHE_2P_TREE_ENSEMBLE_PREDICT\nPHE_2P_TREE_MERGE\n\n SecretFlow-Serving Operator List \nPHE_2P_TREE_SELECT\nTREE_SELECT\nARROW_PROCESSING\nPHE_2P_DOT_PRODUCT\nDOT_PRODUCT\nTREE_ENSEMBLE_PREDICT\nPHE_2P_DECRYPT_PEER_Y\nMERGE_Y\nPHE_2P_TREE_ENSEMBLE_MERGE\nPHE_2P_MERGE_Y\nTREE_MERGE\nPHE_2P_REDUCE\nPHE_2P_TREE_ENSEMBLE_PREDICT\nPHE_2P_TREE_MERGE\n PHE_2P_TREE_SELECT PHE_2P_TREE_SELECT TREE_SELECT TREE_SELECT ARROW_PROCESSING ARROW_PROCESSING PHE_2P_DOT_PRODUCT PHE_2P_DOT_PRODUCT DOT_PRODUCT DOT_PRODUCT TREE_ENSEMBLE_PREDICT TREE_ENSEMBLE_PREDICT PHE_2P_DECRYPT_PEER_Y PHE_2P_DECRYPT_PEER_Y MERGE_Y MERGE_Y PHE_2P_TREE_ENSEMBLE_MERGE PHE_2P_TREE_ENSEMBLE_MERGE PHE_2P_MERGE_Y PHE_2P_MERGE_Y TREE_MERGE TREE_MERGE PHE_2P_REDUCE PHE_2P_REDUCE PHE_2P_TREE_ENSEMBLE_PREDICT PHE_2P_TREE_ENSEMBLE_PREDICT PHE_2P_TREE_MERGE PHE_2P_TREE_MERGE algorithm\nIntroduction To Prediction Algorithms\n\nVertical Linear Prediction\nVertical Tree Model Prediction\n\n\n algorithm algorithm \nIntroduction To Prediction Algorithms\n\nVertical Linear Prediction\nVertical Tree Model Prediction\n\n\n Introduction To Prediction Algorithms\n\nVertical Linear Prediction\nVertical Tree Model Prediction\n\n Introduction To Prediction Algorithms \nVertical Linear Prediction\nVertical Tree Model Prediction\n Vertical Linear Prediction Vertical Linear Prediction Vertical Tree Model Prediction Vertical Tree Model Prediction "},"171":{"url":"/serving/main/en/topics/graph/intro_to_graph#introduction-to-graph","type":"fragment","title":"Introduction to Graph","content":" Secretflow-Serving has defined a protocol for describing prediction computations, which mainly includes descriptions of operators, attributes, nodes, graphs, and executions.   "},"172":{"url":"/serving/main/en/topics/graph/intro_to_graph#operators","type":"fragment","title":"Introduction to Graph - Operators","content":"Operators describe specific computations. By combining operators, different model computations can be achieved. Plain operators perform computations using local data only, while secure computation operators collaborate with peer operators from other participants for secure computations. "},"173":{"url":"/serving/main/en/topics/graph/intro_to_graph#opdef","type":"fragment","title":"Introduction to Graph - OpDef","content":"\nname: Unique name of the operator.\ndesc: Description of the operator.\nversion: The version of the operator.\ntag: Some properties of the operator.\nattributes: Please check Attributes part below.\ninputs and output: The info of the inputs or output of the operator.\n name: Unique name of the operator. desc: Description of the operator. version: The version of the operator. tag: Some properties of the operator. attributes: Please check Attributes part below. Attributes inputs and output: The info of the inputs or output of the operator. "},"174":{"url":"/serving/main/en/topics/graph/intro_to_graph#attributes","type":"fragment","title":"Introduction to Graph - Attributes","content":"Operators have various attributes determined by their definitions. These attributes and their data support the operators in completing computations. "},"175":{"url":"/serving/main/en/topics/graph/intro_to_graph#attrdef","type":"fragment","title":"Introduction to Graph - AttrDef","content":"\nname: Must be unique among all attrs of the operator.\ndesc: Description of the attribute.\ntype: Please check AttrType.\nis_optional: If True, when AttrValue is not provided, default_value would be used. Else, AttrValue must be provided.\ndefault_value: Please check AttrValue.\n name: Must be unique among all attrs of the operator. desc: Description of the attribute. type: Please check AttrType. AttrType is_optional: If True, when AttrValue is not provided, default_value would be used. Else, AttrValue must be provided. default_value default_value: Please check AttrValue. AttrValue "},"176":{"url":"/serving/main/en/topics/graph/intro_to_graph#nodes","type":"fragment","title":"Introduction to Graph - Nodes","content":"Nodes are instances of operators. They store the attribute values (AttrValue) of the operators. AttrValue "},"177":{"url":"/serving/main/en/topics/graph/intro_to_graph#nodedef","type":"fragment","title":"Introduction to Graph - NodeDef","content":"\nname: Must be unique among all nodes of the graph.\nop: The operator name.\nparents: The parent node names of the node. The order of the parent nodes should match the order of the inputs of the node.\nattr_values: The attribute values config in the node. Note that this should include all attrs defined in the corresponding OpDef\nop_version: The operator version.\n name: Must be unique among all nodes of the graph. op: The operator name. parents: The parent node names of the node. The order of the parent nodes should match the order of the inputs of the node. attr_values: The attribute values config in the node. Note that this should include all attrs defined in the corresponding OpDef op_version: The operator version. "},"178":{"url":"/serving/main/en/topics/graph/intro_to_graph#graphs","type":"fragment","title":"Introduction to Graph - Graphs","content":"Graphs can consist of one or multiple nodes. They form a directed acyclic graph, where the direction represents the flow of data computation. A graph can represent a complete prediction computation process, including preprocessing, model prediction, and post-processing. Each participant will have a graph with the same structure but different data。 "},"179":{"url":"/serving/main/en/topics/graph/intro_to_graph#graphdef","type":"fragment","title":"Introduction to Graph - GraphDef","content":"\nversion: Version of the graph.\nnode_list: The node list of the graph.\nexecution_list: Please check Executions part below.\n version: Version of the graph. node_list: The node list of the graph. execution_list: Please check Executions part below. Executions "},"180":{"url":"/serving/main/en/topics/graph/intro_to_graph#executions","type":"fragment","title":"Introduction to Graph - Executions","content":"Execution contain a subset of nodes from the main graph and form a subgraph. They represent the model computation scheduling patterns. A graph can have multiple executions.   "},"181":{"url":"/serving/main/en/topics/graph/intro_to_graph#executiondef","type":"fragment","title":"Introduction to Graph - ExecutionDef","content":"\nnodes: Represents the nodes contained in this execution. Note that these node names should be findable and unique within the node definitions. One node can only exist in one execution and must exist in one.\nconfig: The runtime config of the execution. It describes the scheduling logic and session-related states of this execution unit. for more details, please check RuntimeConfig.\n nodes: Represents the nodes contained in this execution. Note that these node names should be findable and unique within the node definitions. One node can only exist in one execution and must exist in one. config: The runtime config of the execution. It describes the scheduling logic and session-related states of this execution unit. for more details, please check RuntimeConfig. RuntimeConfig "},"182":{"url":"/serving/main/en/topics/graph/intro_to_graph#secretflow-serving-library","type":"fragment","title":"Introduction to Graph - Secretflow Serving Library","content":"Since Secretflow-Serving Load models trained by Secretflow,\nSecretflow-Serving needs to export its operators. So\nsecretflow-serving-lib is a python library that\nprovides interfaces to obtain Secretflow-Serving operators and export model files that Secretflow-Serving can load.\nFor more details, please check secretflow-serving-lib docs. Secretflow operators secretflow-serving-lib secretflow-serving-lib docs "},"183":{"url":"/serving/main/en/topics/graph/operator_list#secretflow-serving-operator-list","type":"fragment","title":"SecretFlow-Serving Operator List","content":"Last update: Tue Nov 19 17:28 2024 "},"184":{"url":"/serving/main/en/topics/graph/operator_list#phe-2p-tree-select","type":"fragment","title":"SecretFlow-Serving Operator List - PHE_2P_TREE_SELECT","content":"Operator version: 0.0.1 Obtaining the local prediction path information of the decision tree using input features. "},"185":{"url":"/serving/main/en/topics/graph/operator_list#attrs","type":"fragment","title":"SecretFlow-Serving Operator List - Attrs","content":"NameDescriptionTypeRequiredNotessplit_valuesnode split value, goes left when less than it. valid when is_leaf == falseDouble ListYsplit_feature_idxsThe list of split feature index, -1 means feature not belong to party or not validInteger32 ListYlchild_idsThe left child node id list, -1 means not validInteger32 ListYleaf_node_idsThe leaf node ids list.Integer32 ListYrchild_idsThe right child node id list, -1 means not validInteger32 ListYroot_node_idThe id of the root tree nodeInteger32NDefault: 0.weight_shard_col_nameColumn name of weight shardStringYselect_col_nameColumn name of tree selectStringYinput_feature_typesList of input feature data types. Optional value: DT_UINT8, DT_INT8, DT_UINT16, DT_INT16, DT_UINT32, DT_INT32, DT_UINT64, DT_INT64, DT_FLOAT, DT_DOUBLEString ListYweight_shardThe leaf node’s weight shard list.The order must remain consistent with the sequence in leaf_node_ids.BytesYnode_idsThe id list of the tree nodeInteger32 ListYinput_feature_namesList of feature namesString ListY NameDescriptionTypeRequiredNotes NameDescriptionTypeRequiredNotes Name Name Description Description Type Type Required Required Notes Notes split_valuesnode split value, goes left when less than it. valid when is_leaf == falseDouble ListYsplit_feature_idxsThe list of split feature index, -1 means feature not belong to party or not validInteger32 ListYlchild_idsThe left child node id list, -1 means not validInteger32 ListYleaf_node_idsThe leaf node ids list.Integer32 ListYrchild_idsThe right child node id list, -1 means not validInteger32 ListYroot_node_idThe id of the root tree nodeInteger32NDefault: 0.weight_shard_col_nameColumn name of weight shardStringYselect_col_nameColumn name of tree selectStringYinput_feature_typesList of input feature data types. Optional value: DT_UINT8, DT_INT8, DT_UINT16, DT_INT16, DT_UINT32, DT_INT32, DT_UINT64, DT_INT64, DT_FLOAT, DT_DOUBLEString ListYweight_shardThe leaf node’s weight shard list.The order must remain consistent with the sequence in leaf_node_ids.BytesYnode_idsThe id list of the tree nodeInteger32 ListYinput_feature_namesList of feature namesString ListY split_valuesnode split value, goes left when less than it. valid when is_leaf == falseDouble ListY split_values split_values node split value, goes left when less than it. valid when is_leaf == false node split value, goes left when less than it. valid when is_leaf == false is_leaf == false Double List Double List Y Y  split_feature_idxsThe list of split feature index, -1 means feature not belong to party or not validInteger32 ListY split_feature_idxs split_feature_idxs The list of split feature index, -1 means feature not belong to party or not valid The list of split feature index, -1 means feature not belong to party or not valid -1 Integer32 List Integer32 List Y Y  lchild_idsThe left child node id list, -1 means not validInteger32 ListY lchild_ids lchild_ids The left child node id list, -1 means not valid The left child node id list, -1 means not valid -1 Integer32 List Integer32 List Y Y  leaf_node_idsThe leaf node ids list.Integer32 ListY leaf_node_ids leaf_node_ids The leaf node ids list. The leaf node ids list. Integer32 List Integer32 List Y Y  rchild_idsThe right child node id list, -1 means not validInteger32 ListY rchild_ids rchild_ids The right child node id list, -1 means not valid The right child node id list, -1 means not valid -1 Integer32 List Integer32 List Y Y  root_node_idThe id of the root tree nodeInteger32NDefault: 0. root_node_id root_node_id The id of the root tree node The id of the root tree node Integer32 Integer32 N N Default: 0. Default: 0. weight_shard_col_nameColumn name of weight shardStringY weight_shard_col_name weight_shard_col_name Column name of weight shard Column name of weight shard String String Y Y  select_col_nameColumn name of tree selectStringY select_col_name select_col_name Column name of tree select Column name of tree select String String Y Y  input_feature_typesList of input feature data types. Optional value: DT_UINT8, DT_INT8, DT_UINT16, DT_INT16, DT_UINT32, DT_INT32, DT_UINT64, DT_INT64, DT_FLOAT, DT_DOUBLEString ListY input_feature_types input_feature_types List of input feature data types. Optional value: DT_UINT8, DT_INT8, DT_UINT16, DT_INT16, DT_UINT32, DT_INT32, DT_UINT64, DT_INT64, DT_FLOAT, DT_DOUBLE List of input feature data types. Optional value: DT_UINT8, DT_INT8, DT_UINT16, DT_INT16, DT_UINT32, DT_INT32, DT_UINT64, DT_INT64, DT_FLOAT, DT_DOUBLE String List String List Y Y  weight_shardThe leaf node’s weight shard list.The order must remain consistent with the sequence in leaf_node_ids.BytesY weight_shard weight_shard The leaf node’s weight shard list.The order must remain consistent with the sequence in leaf_node_ids. The leaf node’s weight shard list.The order must remain consistent with the sequence in leaf_node_ids. leaf_node_ids Bytes Bytes Y Y  node_idsThe id list of the tree nodeInteger32 ListY node_ids node_ids The id list of the tree node The id list of the tree node Integer32 List Integer32 List Y Y  input_feature_namesList of feature namesString ListY input_feature_names input_feature_names List of feature names List of feature names String List String List Y Y  "},"186":{"url":"/serving/main/en/topics/graph/operator_list#inputs","type":"fragment","title":"SecretFlow-Serving Operator List - Inputs","content":"NameDescriptionfeaturesInput feature table NameDescription NameDescription Name Name Description Description featuresInput feature table featuresInput feature table features features Input feature table Input feature table "},"187":{"url":"/serving/main/en/topics/graph/operator_list#output","type":"fragment","title":"SecretFlow-Serving Operator List - Output","content":"NameDescriptionselectsThe local prediction path information of the decision tree. NameDescription NameDescription Name Name Description Description selectsThe local prediction path information of the decision tree. selectsThe local prediction path information of the decision tree. selects selects The local prediction path information of the decision tree. The local prediction path information of the decision tree. "},"188":{"url":"/serving/main/en/topics/graph/operator_list#tree-select","type":"fragment","title":"SecretFlow-Serving Operator List - TREE_SELECT","content":"Operator version: 0.0.1 Obtaining the local prediction path information of the decision tree using input features. "},"189":{"url":"/serving/main/en/topics/graph/operator_list#id1","type":"fragment","title":"SecretFlow-Serving Operator List - Attrs","content":"NameDescriptionTypeRequiredNotessplit_valuesnode split value, goes left when less than it. valid when is_leaf == falseDouble ListYsplit_feature_idxsThe list of split feature index, -1 means feature not belong to party or not validInteger32 ListYlchild_idsThe left child node id list, -1 means not validInteger32 ListYleaf_node_idsThe leaf node ids list. The order must remain consistent with the sequence in TREE_MERGE.leaf_weights.Integer32 ListYrchild_idsThe right child node id list, -1 means not validInteger32 ListYroot_node_idThe id of the root tree nodeInteger32NDefault: 0.output_col_nameColumn name of tree selectStringYinput_feature_typesList of input feature data types. Optional value: DT_UINT8, DT_INT8, DT_UINT16, DT_INT16, DT_UINT32, DT_INT32, DT_UINT64, DT_INT64, DT_FLOAT, DT_DOUBLEString ListYnode_idsThe id list of the tree nodeInteger32 ListYinput_feature_namesList of feature namesString ListY NameDescriptionTypeRequiredNotes NameDescriptionTypeRequiredNotes Name Name Description Description Type Type Required Required Notes Notes split_valuesnode split value, goes left when less than it. valid when is_leaf == falseDouble ListYsplit_feature_idxsThe list of split feature index, -1 means feature not belong to party or not validInteger32 ListYlchild_idsThe left child node id list, -1 means not validInteger32 ListYleaf_node_idsThe leaf node ids list. The order must remain consistent with the sequence in TREE_MERGE.leaf_weights.Integer32 ListYrchild_idsThe right child node id list, -1 means not validInteger32 ListYroot_node_idThe id of the root tree nodeInteger32NDefault: 0.output_col_nameColumn name of tree selectStringYinput_feature_typesList of input feature data types. Optional value: DT_UINT8, DT_INT8, DT_UINT16, DT_INT16, DT_UINT32, DT_INT32, DT_UINT64, DT_INT64, DT_FLOAT, DT_DOUBLEString ListYnode_idsThe id list of the tree nodeInteger32 ListYinput_feature_namesList of feature namesString ListY split_valuesnode split value, goes left when less than it. valid when is_leaf == falseDouble ListY split_values split_values node split value, goes left when less than it. valid when is_leaf == false node split value, goes left when less than it. valid when is_leaf == false is_leaf == false Double List Double List Y Y  split_feature_idxsThe list of split feature index, -1 means feature not belong to party or not validInteger32 ListY split_feature_idxs split_feature_idxs The list of split feature index, -1 means feature not belong to party or not valid The list of split feature index, -1 means feature not belong to party or not valid -1 Integer32 List Integer32 List Y Y  lchild_idsThe left child node id list, -1 means not validInteger32 ListY lchild_ids lchild_ids The left child node id list, -1 means not valid The left child node id list, -1 means not valid -1 Integer32 List Integer32 List Y Y  leaf_node_idsThe leaf node ids list. The order must remain consistent with the sequence in TREE_MERGE.leaf_weights.Integer32 ListY leaf_node_ids leaf_node_ids The leaf node ids list. The order must remain consistent with the sequence in TREE_MERGE.leaf_weights. The leaf node ids list. The order must remain consistent with the sequence in TREE_MERGE.leaf_weights. TREE_MERGE.leaf_weights Integer32 List Integer32 List Y Y  rchild_idsThe right child node id list, -1 means not validInteger32 ListY rchild_ids rchild_ids The right child node id list, -1 means not valid The right child node id list, -1 means not valid -1 Integer32 List Integer32 List Y Y  root_node_idThe id of the root tree nodeInteger32NDefault: 0. root_node_id root_node_id The id of the root tree node The id of the root tree node Integer32 Integer32 N N Default: 0. Default: 0. output_col_nameColumn name of tree selectStringY output_col_name output_col_name Column name of tree select Column name of tree select String String Y Y  input_feature_typesList of input feature data types. Optional value: DT_UINT8, DT_INT8, DT_UINT16, DT_INT16, DT_UINT32, DT_INT32, DT_UINT64, DT_INT64, DT_FLOAT, DT_DOUBLEString ListY input_feature_types input_feature_types List of input feature data types. Optional value: DT_UINT8, DT_INT8, DT_UINT16, DT_INT16, DT_UINT32, DT_INT32, DT_UINT64, DT_INT64, DT_FLOAT, DT_DOUBLE List of input feature data types. Optional value: DT_UINT8, DT_INT8, DT_UINT16, DT_INT16, DT_UINT32, DT_INT32, DT_UINT64, DT_INT64, DT_FLOAT, DT_DOUBLE String List String List Y Y  node_idsThe id list of the tree nodeInteger32 ListY node_ids node_ids The id list of the tree node The id list of the tree node Integer32 List Integer32 List Y Y  input_feature_namesList of feature namesString ListY input_feature_names input_feature_names List of feature names List of feature names String List String List Y Y  "},"190":{"url":"/serving/main/en/topics/graph/operator_list#id2","type":"fragment","title":"SecretFlow-Serving Operator List - Inputs","content":"NameDescriptionfeaturesInput feature table NameDescription NameDescription Name Name Description Description featuresInput feature table featuresInput feature table features features Input feature table Input feature table "},"191":{"url":"/serving/main/en/topics/graph/operator_list#id3","type":"fragment","title":"SecretFlow-Serving Operator List - Output","content":"NameDescriptionselectThe local prediction path information of the decision tree. NameDescription NameDescription Name Name Description Description selectThe local prediction path information of the decision tree. selectThe local prediction path information of the decision tree. select select The local prediction path information of the decision tree. The local prediction path information of the decision tree. "},"192":{"url":"/serving/main/en/topics/graph/operator_list#arrow-processing","type":"fragment","title":"SecretFlow-Serving Operator List - ARROW_PROCESSING","content":"Operator version: 0.0.1 Replay secretflow compute functions "},"193":{"url":"/serving/main/en/topics/graph/operator_list#id4","type":"fragment","title":"SecretFlow-Serving Operator List - Attrs","content":"NameDescriptionTypeRequiredNotescontent_json_flagWhether trace_content is serialized jsonBooleanNDefault: False.trace_contentSerialized data of secretflow compute traceBytesNoutput_schema_bytesSerialized data of output schema(arrow::Schema)BytesYinput_schema_bytesSerialized data of input schema(arrow::Schema)BytesY NameDescriptionTypeRequiredNotes NameDescriptionTypeRequiredNotes Name Name Description Description Type Type Required Required Notes Notes content_json_flagWhether trace_content is serialized jsonBooleanNDefault: False.trace_contentSerialized data of secretflow compute traceBytesNoutput_schema_bytesSerialized data of output schema(arrow::Schema)BytesYinput_schema_bytesSerialized data of input schema(arrow::Schema)BytesY content_json_flagWhether trace_content is serialized jsonBooleanNDefault: False. content_json_flag content_json_flag Whether trace_content is serialized json Whether trace_content is serialized json trace_content Boolean Boolean N N Default: False. Default: False. trace_contentSerialized data of secretflow compute traceBytesN trace_content trace_content Serialized data of secretflow compute trace Serialized data of secretflow compute trace Bytes Bytes N N  output_schema_bytesSerialized data of output schema(arrow::Schema)BytesY output_schema_bytes output_schema_bytes Serialized data of output schema(arrow::Schema) Serialized data of output schema(arrow::Schema) Bytes Bytes Y Y  input_schema_bytesSerialized data of input schema(arrow::Schema)BytesY input_schema_bytes input_schema_bytes Serialized data of input schema(arrow::Schema) Serialized data of input schema(arrow::Schema) Bytes Bytes Y Y  "},"194":{"url":"/serving/main/en/topics/graph/operator_list#tags","type":"fragment","title":"SecretFlow-Serving Operator List - Tags","content":"NameDescriptionreturnableThe operator’s output can be the final result NameDescription NameDescription Name Name Description Description returnableThe operator’s output can be the final result returnableThe operator’s output can be the final result returnable returnable The operator’s output can be the final result The operator’s output can be the final result "},"195":{"url":"/serving/main/en/topics/graph/operator_list#id5","type":"fragment","title":"SecretFlow-Serving Operator List - Inputs","content":"NameDescriptioninput NameDescription NameDescription Name Name Description Description input input input input  "},"196":{"url":"/serving/main/en/topics/graph/operator_list#id6","type":"fragment","title":"SecretFlow-Serving Operator List - Output","content":"NameDescriptionoutput NameDescription NameDescription Name Name Description Description output output output output  "},"197":{"url":"/serving/main/en/topics/graph/operator_list#phe-2p-dot-product","type":"fragment","title":"SecretFlow-Serving Operator List - PHE_2P_DOT_PRODUCT","content":"Operator version: 0.0.1 Two-party computation operator. Load the encrypted feature weights, compute their dot product with the feature values, and add random noise to the result for obfuscation. Only supports computation between two parties, with the weights being encrypted using the other party’s key. "},"198":{"url":"/serving/main/en/topics/graph/operator_list#id7","type":"fragment","title":"SecretFlow-Serving Operator List - Attrs","content":"NameDescriptionTypeRequiredNotesresult_col_nameThe name of the calculation result(partial_y) column in the outputStringYoffset_col_nameThe name of the offset column(feature) in the inputStringNDefault: .rand_number_col_nameThe name of the generated rand number column in the outputStringYfeature_typesList of input feature data types. Optional value: DT_UINT8, DT_INT8, DT_UINT16, DT_INT16, DT_UINT32, DT_INT32, DT_UINT64, DT_INT64, DT_FLOAT, DT_DOUBLEString ListNDefault: [].feature_weights_ciphertextfeature weight ciphertext matrix bytesBytesNintercept_ciphertextIntercept ciphertext bytes or matrix bytesBytesNfeature_namesList of feature names. Note that if there is an offset column, it needs to be the last one in the listString ListNDefault: []. NameDescriptionTypeRequiredNotes NameDescriptionTypeRequiredNotes Name Name Description Description Type Type Required Required Notes Notes result_col_nameThe name of the calculation result(partial_y) column in the outputStringYoffset_col_nameThe name of the offset column(feature) in the inputStringNDefault: .rand_number_col_nameThe name of the generated rand number column in the outputStringYfeature_typesList of input feature data types. Optional value: DT_UINT8, DT_INT8, DT_UINT16, DT_INT16, DT_UINT32, DT_INT32, DT_UINT64, DT_INT64, DT_FLOAT, DT_DOUBLEString ListNDefault: [].feature_weights_ciphertextfeature weight ciphertext matrix bytesBytesNintercept_ciphertextIntercept ciphertext bytes or matrix bytesBytesNfeature_namesList of feature names. Note that if there is an offset column, it needs to be the last one in the listString ListNDefault: []. result_col_nameThe name of the calculation result(partial_y) column in the outputStringY result_col_name result_col_name The name of the calculation result(partial_y) column in the output The name of the calculation result(partial_y) column in the output String String Y Y  offset_col_nameThe name of the offset column(feature) in the inputStringNDefault: . offset_col_name offset_col_name The name of the offset column(feature) in the input The name of the offset column(feature) in the input String String N N Default: . Default: . rand_number_col_nameThe name of the generated rand number column in the outputStringY rand_number_col_name rand_number_col_name The name of the generated rand number column in the output The name of the generated rand number column in the output String String Y Y  feature_typesList of input feature data types. Optional value: DT_UINT8, DT_INT8, DT_UINT16, DT_INT16, DT_UINT32, DT_INT32, DT_UINT64, DT_INT64, DT_FLOAT, DT_DOUBLEString ListNDefault: []. feature_types feature_types List of input feature data types. Optional value: DT_UINT8, DT_INT8, DT_UINT16, DT_INT16, DT_UINT32, DT_INT32, DT_UINT64, DT_INT64, DT_FLOAT, DT_DOUBLE List of input feature data types. Optional value: DT_UINT8, DT_INT8, DT_UINT16, DT_INT16, DT_UINT32, DT_INT32, DT_UINT64, DT_INT64, DT_FLOAT, DT_DOUBLE String List String List N N Default: []. Default: []. feature_weights_ciphertextfeature weight ciphertext matrix bytesBytesN feature_weights_ciphertext feature_weights_ciphertext feature weight ciphertext matrix bytes feature weight ciphertext matrix bytes Bytes Bytes N N  intercept_ciphertextIntercept ciphertext bytes or matrix bytesBytesN intercept_ciphertext intercept_ciphertext Intercept ciphertext bytes or matrix bytes Intercept ciphertext bytes or matrix bytes Bytes Bytes N N  feature_namesList of feature names. Note that if there is an offset column, it needs to be the last one in the listString ListNDefault: []. feature_names feature_names List of feature names. Note that if there is an offset column, it needs to be the last one in the list List of feature names. Note that if there is an offset column, it needs to be the last one in the list String List String List N N Default: []. Default: []. "},"199":{"url":"/serving/main/en/topics/graph/operator_list#id8","type":"fragment","title":"SecretFlow-Serving Operator List - Inputs","content":"NameDescriptionfeaturesInput features NameDescription NameDescription Name Name Description Description featuresInput features featuresInput features features features Input features Input features "},"200":{"url":"/serving/main/en/topics/graph/operator_list#id9","type":"fragment","title":"SecretFlow-Serving Operator List - Output","content":"NameDescriptionpartial_yCalculation results NameDescription NameDescription Name Name Description Description partial_yCalculation results partial_yCalculation results partial_y partial_y Calculation results Calculation results "},"201":{"url":"/serving/main/en/topics/graph/operator_list#dot-product","type":"fragment","title":"SecretFlow-Serving Operator List - DOT_PRODUCT","content":"Operator version: 0.0.2 Calculate the dot product of feature weights and values "},"202":{"url":"/serving/main/en/topics/graph/operator_list#id10","type":"fragment","title":"SecretFlow-Serving Operator List - Attrs","content":"NameDescriptionTypeRequiredNotesinterceptValue of model interceptDoubleNDefault: 0.0.output_col_nameColumn name of partial yStringYfeature_weightsList of feature weightsDouble ListYinput_typesList of input feature data types, Note that there is a loss of precision when using DT_FLOAT type. Optional value: DT_UINT8, DT_INT8, DT_UINT16, DT_INT16, DT_UINT32, DT_INT32, DT_UINT64, DT_INT64, DT_FLOAT, DT_DOUBLEString ListYfeature_namesList of feature namesString ListY NameDescriptionTypeRequiredNotes NameDescriptionTypeRequiredNotes Name Name Description Description Type Type Required Required Notes Notes interceptValue of model interceptDoubleNDefault: 0.0.output_col_nameColumn name of partial yStringYfeature_weightsList of feature weightsDouble ListYinput_typesList of input feature data types, Note that there is a loss of precision when using DT_FLOAT type. Optional value: DT_UINT8, DT_INT8, DT_UINT16, DT_INT16, DT_UINT32, DT_INT32, DT_UINT64, DT_INT64, DT_FLOAT, DT_DOUBLEString ListYfeature_namesList of feature namesString ListY interceptValue of model interceptDoubleNDefault: 0.0. intercept intercept Value of model intercept Value of model intercept Double Double N N Default: 0.0. Default: 0.0. output_col_nameColumn name of partial yStringY output_col_name output_col_name Column name of partial y Column name of partial y String String Y Y  feature_weightsList of feature weightsDouble ListY feature_weights feature_weights List of feature weights List of feature weights Double List Double List Y Y  input_typesList of input feature data types, Note that there is a loss of precision when using DT_FLOAT type. Optional value: DT_UINT8, DT_INT8, DT_UINT16, DT_INT16, DT_UINT32, DT_INT32, DT_UINT64, DT_INT64, DT_FLOAT, DT_DOUBLEString ListY input_types input_types List of input feature data types, Note that there is a loss of precision when using DT_FLOAT type. Optional value: DT_UINT8, DT_INT8, DT_UINT16, DT_INT16, DT_UINT32, DT_INT32, DT_UINT64, DT_INT64, DT_FLOAT, DT_DOUBLE List of input feature data types, Note that there is a loss of precision when using DT_FLOAT type. Optional value: DT_UINT8, DT_INT8, DT_UINT16, DT_INT16, DT_UINT32, DT_INT32, DT_UINT64, DT_INT64, DT_FLOAT, DT_DOUBLE DT_FLOAT String List String List Y Y  feature_namesList of feature namesString ListY feature_names feature_names List of feature names List of feature names String List String List Y Y  "},"203":{"url":"/serving/main/en/topics/graph/operator_list#id11","type":"fragment","title":"SecretFlow-Serving Operator List - Inputs","content":"NameDescriptionfeaturesInput feature table NameDescription NameDescription Name Name Description Description featuresInput feature table featuresInput feature table features features Input feature table Input feature table "},"204":{"url":"/serving/main/en/topics/graph/operator_list#id12","type":"fragment","title":"SecretFlow-Serving Operator List - Output","content":"NameDescriptionpartial_ysThe calculation results, they have a data type of double. NameDescription NameDescription Name Name Description Description partial_ysThe calculation results, they have a data type of double. partial_ysThe calculation results, they have a data type of double. partial_ys partial_ys The calculation results, they have a data type of double. The calculation results, they have a data type of double. double "},"205":{"url":"/serving/main/en/topics/graph/operator_list#tree-ensemble-predict","type":"fragment","title":"SecretFlow-Serving Operator List - TREE_ENSEMBLE_PREDICT","content":"Operator version: 0.0.2 Accept the weighted results from multiple trees (TREE_SELECT + TREE_MERGE), merge them, and obtain the final prediction result of the tree ensemble. TREE_SELECT TREE_MERGE "},"206":{"url":"/serving/main/en/topics/graph/operator_list#id13","type":"fragment","title":"SecretFlow-Serving Operator List - Attrs","content":"NameDescriptionTypeRequiredNotesbase_scoreThe initial prediction score, global bias.DoubleNDefault: 0.0.num_treesThe number of ensemble’s treeInteger32Youtput_col_nameThe column name of tree ensemble predict scoreStringYalgo_funcOptional value: LF_SIGMOID_RAW, LF_SIGMOID_MM1, LF_SIGMOID_MM3, LF_SIGMOID_GA, LF_SIGMOID_T1, LF_SIGMOID_T3, LF_SIGMOID_T5, LF_SIGMOID_T7, LF_SIGMOID_T9, LF_SIGMOID_LS7, LF_SIGMOID_SEG3, LF_SIGMOID_SEG5, LF_SIGMOID_DF, LF_SIGMOID_SR, LF_SIGMOID_SEGLSStringNDefault: LF_IDENTITY.input_col_nameThe column name of tree weightStringY NameDescriptionTypeRequiredNotes NameDescriptionTypeRequiredNotes Name Name Description Description Type Type Required Required Notes Notes base_scoreThe initial prediction score, global bias.DoubleNDefault: 0.0.num_treesThe number of ensemble’s treeInteger32Youtput_col_nameThe column name of tree ensemble predict scoreStringYalgo_funcOptional value: LF_SIGMOID_RAW, LF_SIGMOID_MM1, LF_SIGMOID_MM3, LF_SIGMOID_GA, LF_SIGMOID_T1, LF_SIGMOID_T3, LF_SIGMOID_T5, LF_SIGMOID_T7, LF_SIGMOID_T9, LF_SIGMOID_LS7, LF_SIGMOID_SEG3, LF_SIGMOID_SEG5, LF_SIGMOID_DF, LF_SIGMOID_SR, LF_SIGMOID_SEGLSStringNDefault: LF_IDENTITY.input_col_nameThe column name of tree weightStringY base_scoreThe initial prediction score, global bias.DoubleNDefault: 0.0. base_score base_score The initial prediction score, global bias. The initial prediction score, global bias. Double Double N N Default: 0.0. Default: 0.0. num_treesThe number of ensemble’s treeInteger32Y num_trees num_trees The number of ensemble’s tree The number of ensemble’s tree Integer32 Integer32 Y Y  output_col_nameThe column name of tree ensemble predict scoreStringY output_col_name output_col_name The column name of tree ensemble predict score The column name of tree ensemble predict score String String Y Y  algo_funcOptional value: LF_SIGMOID_RAW, LF_SIGMOID_MM1, LF_SIGMOID_MM3, LF_SIGMOID_GA, LF_SIGMOID_T1, LF_SIGMOID_T3, LF_SIGMOID_T5, LF_SIGMOID_T7, LF_SIGMOID_T9, LF_SIGMOID_LS7, LF_SIGMOID_SEG3, LF_SIGMOID_SEG5, LF_SIGMOID_DF, LF_SIGMOID_SR, LF_SIGMOID_SEGLSStringNDefault: LF_IDENTITY. algo_func algo_func Optional value: LF_SIGMOID_RAW, LF_SIGMOID_MM1, LF_SIGMOID_MM3, LF_SIGMOID_GA, LF_SIGMOID_T1, LF_SIGMOID_T3, LF_SIGMOID_T5, LF_SIGMOID_T7, LF_SIGMOID_T9, LF_SIGMOID_LS7, LF_SIGMOID_SEG3, LF_SIGMOID_SEG5, LF_SIGMOID_DF, LF_SIGMOID_SR, LF_SIGMOID_SEGLS Optional value: LF_SIGMOID_RAW, LF_SIGMOID_MM1, LF_SIGMOID_MM3, LF_SIGMOID_GA, LF_SIGMOID_T1, LF_SIGMOID_T3, LF_SIGMOID_T5, LF_SIGMOID_T7, LF_SIGMOID_T9, LF_SIGMOID_LS7, LF_SIGMOID_SEG3, LF_SIGMOID_SEG5, LF_SIGMOID_DF, LF_SIGMOID_SR, LF_SIGMOID_SEGLS String String N N Default: LF_IDENTITY. Default: LF_IDENTITY. input_col_nameThe column name of tree weightStringY input_col_name input_col_name The column name of tree weight The column name of tree weight String String Y Y  "},"207":{"url":"/serving/main/en/topics/graph/operator_list#id14","type":"fragment","title":"SecretFlow-Serving Operator List - Tags","content":"NameDescriptionreturnableThe operator’s output can be the final result NameDescription NameDescription Name Name Description Description returnableThe operator’s output can be the final result returnableThe operator’s output can be the final result returnable returnable The operator’s output can be the final result The operator’s output can be the final result "},"208":{"url":"/serving/main/en/topics/graph/operator_list#id15","type":"fragment","title":"SecretFlow-Serving Operator List - Inputs","content":"NameDescription*argsvariable inputs, accept tree’s weights NameDescription NameDescription Name Name Description Description *argsvariable inputs, accept tree’s weights *argsvariable inputs, accept tree’s weights *args *args variable inputs, accept tree’s weights variable inputs, accept tree’s weights "},"209":{"url":"/serving/main/en/topics/graph/operator_list#id16","type":"fragment","title":"SecretFlow-Serving Operator List - Output","content":"NameDescriptionscoreThe prediction result of tree ensemble. NameDescription NameDescription Name Name Description Description scoreThe prediction result of tree ensemble. scoreThe prediction result of tree ensemble. score score The prediction result of tree ensemble. The prediction result of tree ensemble. "},"210":{"url":"/serving/main/en/topics/graph/operator_list#phe-2p-decrypt-peer-y","type":"fragment","title":"SecretFlow-Serving Operator List - PHE_2P_DECRYPT_PEER_Y","content":"Operator version: 0.0.1 Two-party computation operator. Decrypt the obfuscated partial_y and add a random number. "},"211":{"url":"/serving/main/en/topics/graph/operator_list#id17","type":"fragment","title":"SecretFlow-Serving Operator List - Attrs","content":"NameDescriptionTypeRequiredNotesdecrypted_col_nameThe name of the decrypted result column in the outputStringYpartial_y_col_nameThe name of the partial_y(which can be decrypt by self) column in the inputStringY NameDescriptionTypeRequiredNotes NameDescriptionTypeRequiredNotes Name Name Description Description Type Type Required Required Notes Notes decrypted_col_nameThe name of the decrypted result column in the outputStringYpartial_y_col_nameThe name of the partial_y(which can be decrypt by self) column in the inputStringY decrypted_col_nameThe name of the decrypted result column in the outputStringY decrypted_col_name decrypted_col_name The name of the decrypted result column in the output The name of the decrypted result column in the output String String Y Y  partial_y_col_nameThe name of the partial_y(which can be decrypt by self) column in the inputStringY partial_y_col_name partial_y_col_name The name of the partial_y(which can be decrypt by self) column in the input The name of the partial_y(which can be decrypt by self) column in the input String String Y Y  "},"212":{"url":"/serving/main/en/topics/graph/operator_list#id18","type":"fragment","title":"SecretFlow-Serving Operator List - Inputs","content":"NameDescriptioncrypted_dataInput feature table NameDescription NameDescription Name Name Description Description crypted_dataInput feature table crypted_dataInput feature table crypted_data crypted_data Input feature table Input feature table "},"213":{"url":"/serving/main/en/topics/graph/operator_list#id19","type":"fragment","title":"SecretFlow-Serving Operator List - Output","content":"NameDescriptiondecrypted_dataDecrypted partial_y with the added random number. NameDescription NameDescription Name Name Description Description decrypted_dataDecrypted partial_y with the added random number. decrypted_dataDecrypted partial_y with the added random number. decrypted_data decrypted_data Decrypted partial_y with the added random number. Decrypted partial_y with the added random number. "},"214":{"url":"/serving/main/en/topics/graph/operator_list#merge-y","type":"fragment","title":"SecretFlow-Serving Operator List - MERGE_Y","content":"Operator version: 0.0.3 Merge all partial y(score) and apply link function "},"215":{"url":"/serving/main/en/topics/graph/operator_list#id20","type":"fragment","title":"SecretFlow-Serving Operator List - Attrs","content":"NameDescriptionTypeRequiredNotesexp_itersNumber of iterations of exp approximation, valid when link_function set LF_EXP_TAYLORInteger32NDefault: 0.output_col_nameThe column name of merged scoreStringYlink_functionType of link function, defined in secretflow_serving/protos/link_function.proto. Optional value: LF_EXP, LF_EXP_TAYLOR, LF_RECIPROCAL, LF_IDENTITY, LF_SIGMOID_RAW, LF_SIGMOID_MM1, LF_SIGMOID_MM3, LF_SIGMOID_GA, LF_SIGMOID_T1, LF_SIGMOID_T3, LF_SIGMOID_T5, LF_SIGMOID_T7, LF_SIGMOID_T9, LF_SIGMOID_LS7, LF_SIGMOID_SEG3, LF_SIGMOID_SEG5, LF_SIGMOID_DF, LF_SIGMOID_SR, LF_SIGMOID_SEGLSStringYinput_col_nameThe column name of partial_yStringYyhat_scaleIn order to prevent value overflow, GLM training is performed on the scaled y label. So in the prediction process, you need to enlarge yhat back to get the real predicted value, yhat = yhat_scale * link(X * W)DoubleNDefault: 1.0. NameDescriptionTypeRequiredNotes NameDescriptionTypeRequiredNotes Name Name Description Description Type Type Required Required Notes Notes exp_itersNumber of iterations of exp approximation, valid when link_function set LF_EXP_TAYLORInteger32NDefault: 0.output_col_nameThe column name of merged scoreStringYlink_functionType of link function, defined in secretflow_serving/protos/link_function.proto. Optional value: LF_EXP, LF_EXP_TAYLOR, LF_RECIPROCAL, LF_IDENTITY, LF_SIGMOID_RAW, LF_SIGMOID_MM1, LF_SIGMOID_MM3, LF_SIGMOID_GA, LF_SIGMOID_T1, LF_SIGMOID_T3, LF_SIGMOID_T5, LF_SIGMOID_T7, LF_SIGMOID_T9, LF_SIGMOID_LS7, LF_SIGMOID_SEG3, LF_SIGMOID_SEG5, LF_SIGMOID_DF, LF_SIGMOID_SR, LF_SIGMOID_SEGLSStringYinput_col_nameThe column name of partial_yStringYyhat_scaleIn order to prevent value overflow, GLM training is performed on the scaled y label. So in the prediction process, you need to enlarge yhat back to get the real predicted value, yhat = yhat_scale * link(X * W)DoubleNDefault: 1.0. exp_itersNumber of iterations of exp approximation, valid when link_function set LF_EXP_TAYLORInteger32NDefault: 0. exp_iters exp_iters Number of iterations of exp approximation, valid when link_function set LF_EXP_TAYLOR Number of iterations of exp approximation, valid when link_function set LF_EXP_TAYLOR exp link_function LF_EXP_TAYLOR Integer32 Integer32 N N Default: 0. Default: 0. output_col_nameThe column name of merged scoreStringY output_col_name output_col_name The column name of merged score The column name of merged score String String Y Y  link_functionType of link function, defined in secretflow_serving/protos/link_function.proto. Optional value: LF_EXP, LF_EXP_TAYLOR, LF_RECIPROCAL, LF_IDENTITY, LF_SIGMOID_RAW, LF_SIGMOID_MM1, LF_SIGMOID_MM3, LF_SIGMOID_GA, LF_SIGMOID_T1, LF_SIGMOID_T3, LF_SIGMOID_T5, LF_SIGMOID_T7, LF_SIGMOID_T9, LF_SIGMOID_LS7, LF_SIGMOID_SEG3, LF_SIGMOID_SEG5, LF_SIGMOID_DF, LF_SIGMOID_SR, LF_SIGMOID_SEGLSStringY link_function link_function Type of link function, defined in secretflow_serving/protos/link_function.proto. Optional value: LF_EXP, LF_EXP_TAYLOR, LF_RECIPROCAL, LF_IDENTITY, LF_SIGMOID_RAW, LF_SIGMOID_MM1, LF_SIGMOID_MM3, LF_SIGMOID_GA, LF_SIGMOID_T1, LF_SIGMOID_T3, LF_SIGMOID_T5, LF_SIGMOID_T7, LF_SIGMOID_T9, LF_SIGMOID_LS7, LF_SIGMOID_SEG3, LF_SIGMOID_SEG5, LF_SIGMOID_DF, LF_SIGMOID_SR, LF_SIGMOID_SEGLS Type of link function, defined in secretflow_serving/protos/link_function.proto. Optional value: LF_EXP, LF_EXP_TAYLOR, LF_RECIPROCAL, LF_IDENTITY, LF_SIGMOID_RAW, LF_SIGMOID_MM1, LF_SIGMOID_MM3, LF_SIGMOID_GA, LF_SIGMOID_T1, LF_SIGMOID_T3, LF_SIGMOID_T5, LF_SIGMOID_T7, LF_SIGMOID_T9, LF_SIGMOID_LS7, LF_SIGMOID_SEG3, LF_SIGMOID_SEG5, LF_SIGMOID_DF, LF_SIGMOID_SR, LF_SIGMOID_SEGLS secretflow_serving/protos/link_function.proto String String Y Y  input_col_nameThe column name of partial_yStringY input_col_name input_col_name The column name of partial_y The column name of partial_y String String Y Y  yhat_scaleIn order to prevent value overflow, GLM training is performed on the scaled y label. So in the prediction process, you need to enlarge yhat back to get the real predicted value, yhat = yhat_scale * link(X * W)DoubleNDefault: 1.0. yhat_scale yhat_scale In order to prevent value overflow, GLM training is performed on the scaled y label. So in the prediction process, you need to enlarge yhat back to get the real predicted value, yhat = yhat_scale * link(X * W) In order to prevent value overflow, GLM training is performed on the scaled y label. So in the prediction process, you need to enlarge yhat back to get the real predicted value, yhat = yhat_scale * link(X * W) yhat = yhat_scale * link(X * W) Double Double N N Default: 1.0. Default: 1.0. "},"216":{"url":"/serving/main/en/topics/graph/operator_list#id21","type":"fragment","title":"SecretFlow-Serving Operator List - Tags","content":"NameDescriptionreturnableThe operator’s output can be the final resultmergeableThe operator accept the output of operators with different participants and will somehow merge them. NameDescription NameDescription Name Name Description Description returnableThe operator’s output can be the final resultmergeableThe operator accept the output of operators with different participants and will somehow merge them. returnableThe operator’s output can be the final result returnable returnable The operator’s output can be the final result The operator’s output can be the final result mergeableThe operator accept the output of operators with different participants and will somehow merge them. mergeable mergeable The operator accept the output of operators with different participants and will somehow merge them. The operator accept the output of operators with different participants and will somehow merge them. "},"217":{"url":"/serving/main/en/topics/graph/operator_list#id22","type":"fragment","title":"SecretFlow-Serving Operator List - Inputs","content":"NameDescriptionpartial_ysThe list of partial y, data type: double NameDescription NameDescription Name Name Description Description partial_ysThe list of partial y, data type: double partial_ysThe list of partial y, data type: double partial_ys partial_ys The list of partial y, data type: double The list of partial y, data type: double double "},"218":{"url":"/serving/main/en/topics/graph/operator_list#id23","type":"fragment","title":"SecretFlow-Serving Operator List - Output","content":"NameDescriptionscoresThe merge result of partial_ys, data type: double NameDescription NameDescription Name Name Description Description scoresThe merge result of partial_ys, data type: double scoresThe merge result of partial_ys, data type: double scores scores The merge result of partial_ys, data type: double The merge result of partial_ys, data type: double partial_ys double "},"219":{"url":"/serving/main/en/topics/graph/operator_list#phe-2p-tree-ensemble-merge","type":"fragment","title":"SecretFlow-Serving Operator List - PHE_2P_TREE_ENSEMBLE_MERGE","content":"Operator version: 0.0.1 Accept the weighted results from multiple trees, then merge them. "},"220":{"url":"/serving/main/en/topics/graph/operator_list#id24","type":"fragment","title":"SecretFlow-Serving Operator List - Attrs","content":"NameDescriptionTypeRequiredNotesnum_treesThe number of ensemble’s treeInteger32Youtput_col_nameThe column name of the tree ensemble encrypted raw predict scoreStringYinput_col_nameThe column name of tree weightStringY NameDescriptionTypeRequiredNotes NameDescriptionTypeRequiredNotes Name Name Description Description Type Type Required Required Notes Notes num_treesThe number of ensemble’s treeInteger32Youtput_col_nameThe column name of the tree ensemble encrypted raw predict scoreStringYinput_col_nameThe column name of tree weightStringY num_treesThe number of ensemble’s treeInteger32Y num_trees num_trees The number of ensemble’s tree The number of ensemble’s tree Integer32 Integer32 Y Y  output_col_nameThe column name of the tree ensemble encrypted raw predict scoreStringY output_col_name output_col_name The column name of the tree ensemble encrypted raw predict score The column name of the tree ensemble encrypted raw predict score String String Y Y  input_col_nameThe column name of tree weightStringY input_col_name input_col_name The column name of tree weight The column name of tree weight String String Y Y  "},"221":{"url":"/serving/main/en/topics/graph/operator_list#id25","type":"fragment","title":"SecretFlow-Serving Operator List - Inputs","content":"NameDescription*argsvariable inputs, accept tree’s weights NameDescription NameDescription Name Name Description Description *argsvariable inputs, accept tree’s weights *argsvariable inputs, accept tree’s weights *args *args variable inputs, accept tree’s weights variable inputs, accept tree’s weights "},"222":{"url":"/serving/main/en/topics/graph/operator_list#id26","type":"fragment","title":"SecretFlow-Serving Operator List - Output","content":"NameDescriptionmerged_raw_scoreThe merged raw result of tree ensemble. NameDescription NameDescription Name Name Description Description merged_raw_scoreThe merged raw result of tree ensemble. merged_raw_scoreThe merged raw result of tree ensemble. merged_raw_score merged_raw_score The merged raw result of tree ensemble. The merged raw result of tree ensemble. "},"223":{"url":"/serving/main/en/topics/graph/operator_list#phe-2p-merge-y","type":"fragment","title":"SecretFlow-Serving Operator List - PHE_2P_MERGE_Y","content":"Operator version: 0.0.1 Two-party computation operator. Merge the obfuscated partial_y decrypted by the peer party with the partial_y based on self own key to obtain the final prediction score. "},"224":{"url":"/serving/main/en/topics/graph/operator_list#id27","type":"fragment","title":"SecretFlow-Serving Operator List - Attrs","content":"NameDescriptionTypeRequiredNotesexp_itersNumber of iterations of exp approximation, valid when link_function set LF_EXP_TAYLORInteger32NDefault: 0.link_functionType of link function, defined in secretflow_serving/protos/link_function.proto. Optional value: LF_EXP, LF_EXP_TAYLOR, LF_RECIPROCAL, LF_IDENTITY, LF_SIGMOID_RAW, LF_SIGMOID_MM1, LF_SIGMOID_MM3, LF_SIGMOID_GA, LF_SIGMOID_T1, LF_SIGMOID_T3, LF_SIGMOID_T5, LF_SIGMOID_T7, LF_SIGMOID_T9, LF_SIGMOID_LS7, LF_SIGMOID_SEG3, LF_SIGMOID_SEG5, LF_SIGMOID_DF, LF_SIGMOID_SR, LF_SIGMOID_SEGLSStringYyhat_scaleIn order to prevent value overflow, GLM training is performed on the scaled y label. So in the prediction process, you need to enlarge yhat back to get the real predicted value, yhat = yhat_scale * link(X * W)DoubleNDefault: 1.0.score_col_nameThe name of the score column in the outputStringYcrypted_y_col_nameThe name of the crypted partial_y column in the second inputStringYdecrypted_y_col_nameThe name of the decrypted partial_y column in the first inputStringY NameDescriptionTypeRequiredNotes NameDescriptionTypeRequiredNotes Name Name Description Description Type Type Required Required Notes Notes exp_itersNumber of iterations of exp approximation, valid when link_function set LF_EXP_TAYLORInteger32NDefault: 0.link_functionType of link function, defined in secretflow_serving/protos/link_function.proto. Optional value: LF_EXP, LF_EXP_TAYLOR, LF_RECIPROCAL, LF_IDENTITY, LF_SIGMOID_RAW, LF_SIGMOID_MM1, LF_SIGMOID_MM3, LF_SIGMOID_GA, LF_SIGMOID_T1, LF_SIGMOID_T3, LF_SIGMOID_T5, LF_SIGMOID_T7, LF_SIGMOID_T9, LF_SIGMOID_LS7, LF_SIGMOID_SEG3, LF_SIGMOID_SEG5, LF_SIGMOID_DF, LF_SIGMOID_SR, LF_SIGMOID_SEGLSStringYyhat_scaleIn order to prevent value overflow, GLM training is performed on the scaled y label. So in the prediction process, you need to enlarge yhat back to get the real predicted value, yhat = yhat_scale * link(X * W)DoubleNDefault: 1.0.score_col_nameThe name of the score column in the outputStringYcrypted_y_col_nameThe name of the crypted partial_y column in the second inputStringYdecrypted_y_col_nameThe name of the decrypted partial_y column in the first inputStringY exp_itersNumber of iterations of exp approximation, valid when link_function set LF_EXP_TAYLORInteger32NDefault: 0. exp_iters exp_iters Number of iterations of exp approximation, valid when link_function set LF_EXP_TAYLOR Number of iterations of exp approximation, valid when link_function set LF_EXP_TAYLOR exp link_function LF_EXP_TAYLOR Integer32 Integer32 N N Default: 0. Default: 0. link_functionType of link function, defined in secretflow_serving/protos/link_function.proto. Optional value: LF_EXP, LF_EXP_TAYLOR, LF_RECIPROCAL, LF_IDENTITY, LF_SIGMOID_RAW, LF_SIGMOID_MM1, LF_SIGMOID_MM3, LF_SIGMOID_GA, LF_SIGMOID_T1, LF_SIGMOID_T3, LF_SIGMOID_T5, LF_SIGMOID_T7, LF_SIGMOID_T9, LF_SIGMOID_LS7, LF_SIGMOID_SEG3, LF_SIGMOID_SEG5, LF_SIGMOID_DF, LF_SIGMOID_SR, LF_SIGMOID_SEGLSStringY link_function link_function Type of link function, defined in secretflow_serving/protos/link_function.proto. Optional value: LF_EXP, LF_EXP_TAYLOR, LF_RECIPROCAL, LF_IDENTITY, LF_SIGMOID_RAW, LF_SIGMOID_MM1, LF_SIGMOID_MM3, LF_SIGMOID_GA, LF_SIGMOID_T1, LF_SIGMOID_T3, LF_SIGMOID_T5, LF_SIGMOID_T7, LF_SIGMOID_T9, LF_SIGMOID_LS7, LF_SIGMOID_SEG3, LF_SIGMOID_SEG5, LF_SIGMOID_DF, LF_SIGMOID_SR, LF_SIGMOID_SEGLS Type of link function, defined in secretflow_serving/protos/link_function.proto. Optional value: LF_EXP, LF_EXP_TAYLOR, LF_RECIPROCAL, LF_IDENTITY, LF_SIGMOID_RAW, LF_SIGMOID_MM1, LF_SIGMOID_MM3, LF_SIGMOID_GA, LF_SIGMOID_T1, LF_SIGMOID_T3, LF_SIGMOID_T5, LF_SIGMOID_T7, LF_SIGMOID_T9, LF_SIGMOID_LS7, LF_SIGMOID_SEG3, LF_SIGMOID_SEG5, LF_SIGMOID_DF, LF_SIGMOID_SR, LF_SIGMOID_SEGLS secretflow_serving/protos/link_function.proto String String Y Y  yhat_scaleIn order to prevent value overflow, GLM training is performed on the scaled y label. So in the prediction process, you need to enlarge yhat back to get the real predicted value, yhat = yhat_scale * link(X * W)DoubleNDefault: 1.0. yhat_scale yhat_scale In order to prevent value overflow, GLM training is performed on the scaled y label. So in the prediction process, you need to enlarge yhat back to get the real predicted value, yhat = yhat_scale * link(X * W) In order to prevent value overflow, GLM training is performed on the scaled y label. So in the prediction process, you need to enlarge yhat back to get the real predicted value, yhat = yhat_scale * link(X * W) yhat = yhat_scale * link(X * W) Double Double N N Default: 1.0. Default: 1.0. score_col_nameThe name of the score column in the outputStringY score_col_name score_col_name The name of the score column in the output The name of the score column in the output String String Y Y  crypted_y_col_nameThe name of the crypted partial_y column in the second inputStringY crypted_y_col_name crypted_y_col_name The name of the crypted partial_y column in the second input The name of the crypted partial_y column in the second input String String Y Y  decrypted_y_col_nameThe name of the decrypted partial_y column in the first inputStringY decrypted_y_col_name decrypted_y_col_name The name of the decrypted partial_y column in the first input The name of the decrypted partial_y column in the first input String String Y Y  "},"225":{"url":"/serving/main/en/topics/graph/operator_list#id28","type":"fragment","title":"SecretFlow-Serving Operator List - Tags","content":"NameDescriptionreturnableThe operator’s output can be the final result NameDescription NameDescription Name Name Description Description returnableThe operator’s output can be the final result returnableThe operator’s output can be the final result returnable returnable The operator’s output can be the final result The operator’s output can be the final result "},"226":{"url":"/serving/main/en/topics/graph/operator_list#id29","type":"fragment","title":"SecretFlow-Serving Operator List - Inputs","content":"NameDescriptioncrypted_dataThe crypted data selected by PHE_2P_REDUCEdecrypted_dataThe decrypted data output by PHE_2P_DECRYPT_PEER_Y NameDescription NameDescription Name Name Description Description crypted_dataThe crypted data selected by PHE_2P_REDUCEdecrypted_dataThe decrypted data output by PHE_2P_DECRYPT_PEER_Y crypted_dataThe crypted data selected by PHE_2P_REDUCE crypted_data crypted_data The crypted data selected by PHE_2P_REDUCE The crypted data selected by PHE_2P_REDUCE PHE_2P_REDUCE decrypted_dataThe decrypted data output by PHE_2P_DECRYPT_PEER_Y decrypted_data decrypted_data The decrypted data output by PHE_2P_DECRYPT_PEER_Y The decrypted data output by PHE_2P_DECRYPT_PEER_Y PHE_2P_DECRYPT_PEER_Y "},"227":{"url":"/serving/main/en/topics/graph/operator_list#id30","type":"fragment","title":"SecretFlow-Serving Operator List - Output","content":"NameDescriptionscoreThe final linear predict score. NameDescription NameDescription Name Name Description Description scoreThe final linear predict score. scoreThe final linear predict score. score score The final linear predict score. The final linear predict score. "},"228":{"url":"/serving/main/en/topics/graph/operator_list#tree-merge","type":"fragment","title":"SecretFlow-Serving Operator List - TREE_MERGE","content":"Operator version: 0.0.1 Merge the TREE_SELECT output from multiple parties to obtain a unique prediction path and return the result weights. TREE_SELECT "},"229":{"url":"/serving/main/en/topics/graph/operator_list#id31","type":"fragment","title":"SecretFlow-Serving Operator List - Attrs","content":"NameDescriptionTypeRequiredNotesleaf_weightsThe weight list for leaf node, If party does not possess weights. The attr can be omitted.Double ListNDefault: [].output_col_nameThe column name of tree predict scoreStringYinput_col_nameThe column name of selectsStringY NameDescriptionTypeRequiredNotes NameDescriptionTypeRequiredNotes Name Name Description Description Type Type Required Required Notes Notes leaf_weightsThe weight list for leaf node, If party does not possess weights. The attr can be omitted.Double ListNDefault: [].output_col_nameThe column name of tree predict scoreStringYinput_col_nameThe column name of selectsStringY leaf_weightsThe weight list for leaf node, If party does not possess weights. The attr can be omitted.Double ListNDefault: []. leaf_weights leaf_weights The weight list for leaf node, If party does not possess weights. The attr can be omitted. The weight list for leaf node, If party does not possess weights. The attr can be omitted. Double List Double List N N Default: []. Default: []. output_col_nameThe column name of tree predict scoreStringY output_col_name output_col_name The column name of tree predict score The column name of tree predict score String String Y Y  input_col_nameThe column name of selectsStringY input_col_name input_col_name The column name of selects The column name of selects String String Y Y  "},"230":{"url":"/serving/main/en/topics/graph/operator_list#id32","type":"fragment","title":"SecretFlow-Serving Operator List - Tags","content":"NameDescriptionmergeableThe operator accept the output of operators with different participants and will somehow merge them. NameDescription NameDescription Name Name Description Description mergeableThe operator accept the output of operators with different participants and will somehow merge them. mergeableThe operator accept the output of operators with different participants and will somehow merge them. mergeable mergeable The operator accept the output of operators with different participants and will somehow merge them. The operator accept the output of operators with different participants and will somehow merge them. "},"231":{"url":"/serving/main/en/topics/graph/operator_list#id33","type":"fragment","title":"SecretFlow-Serving Operator List - Inputs","content":"NameDescriptionselectsInput tree selects NameDescription NameDescription Name Name Description Description selectsInput tree selects selectsInput tree selects selects selects Input tree selects Input tree selects "},"232":{"url":"/serving/main/en/topics/graph/operator_list#id34","type":"fragment","title":"SecretFlow-Serving Operator List - Output","content":"NameDescriptionscoreThe prediction result of tree. NameDescription NameDescription Name Name Description Description scoreThe prediction result of tree. scoreThe prediction result of tree. score score The prediction result of tree. The prediction result of tree. "},"233":{"url":"/serving/main/en/topics/graph/operator_list#phe-2p-reduce","type":"fragment","title":"SecretFlow-Serving Operator List - PHE_2P_REDUCE","content":"Operator version: 0.0.1 Two-party computation operator. Select data encrypted by either our side or the peer party according to the configuration. "},"234":{"url":"/serving/main/en/topics/graph/operator_list#id35","type":"fragment","title":"SecretFlow-Serving Operator List - Attrs","content":"NameDescriptionTypeRequiredNotesselect_crypted_for_peerIf True, select the data can be decrypted by peer, including self calculated partial_y and peer’s rand, otherwise select selfs.BooleanYrand_number_col_nameThe name of the rand number column in the input and outputStringYpartial_y_col_nameThe name of the partial_y column in the input and outputStringY NameDescriptionTypeRequiredNotes NameDescriptionTypeRequiredNotes Name Name Description Description Type Type Required Required Notes Notes select_crypted_for_peerIf True, select the data can be decrypted by peer, including self calculated partial_y and peer’s rand, otherwise select selfs.BooleanYrand_number_col_nameThe name of the rand number column in the input and outputStringYpartial_y_col_nameThe name of the partial_y column in the input and outputStringY select_crypted_for_peerIf True, select the data can be decrypted by peer, including self calculated partial_y and peer’s rand, otherwise select selfs.BooleanY select_crypted_for_peer select_crypted_for_peer If True, select the data can be decrypted by peer, including self calculated partial_y and peer’s rand, otherwise select selfs. If True, select the data can be decrypted by peer, including self calculated partial_y and peer’s rand, otherwise select selfs. True Boolean Boolean Y Y  rand_number_col_nameThe name of the rand number column in the input and outputStringY rand_number_col_name rand_number_col_name The name of the rand number column in the input and output The name of the rand number column in the input and output String String Y Y  partial_y_col_nameThe name of the partial_y column in the input and outputStringY partial_y_col_name partial_y_col_name The name of the partial_y column in the input and output The name of the partial_y column in the input and output String String Y Y  "},"235":{"url":"/serving/main/en/topics/graph/operator_list#id36","type":"fragment","title":"SecretFlow-Serving Operator List - Tags","content":"NameDescriptionmergeableThe operator accept the output of operators with different participants and will somehow merge them. NameDescription NameDescription Name Name Description Description mergeableThe operator accept the output of operators with different participants and will somehow merge them. mergeableThe operator accept the output of operators with different participants and will somehow merge them. mergeable mergeable The operator accept the output of operators with different participants and will somehow merge them. The operator accept the output of operators with different participants and will somehow merge them. "},"236":{"url":"/serving/main/en/topics/graph/operator_list#id37","type":"fragment","title":"SecretFlow-Serving Operator List - Inputs","content":"NameDescriptioncompute resultsThe compute results from both self and peer’s NameDescription NameDescription Name Name Description Description compute resultsThe compute results from both self and peer’s compute resultsThe compute results from both self and peer’s compute results compute results The compute results from both self and peer’s The compute results from both self and peer’s "},"237":{"url":"/serving/main/en/topics/graph/operator_list#id38","type":"fragment","title":"SecretFlow-Serving Operator List - Output","content":"NameDescriptionselected resultsThe selected data NameDescription NameDescription Name Name Description Description selected resultsThe selected data selected resultsThe selected data selected results selected results The selected data The selected data "},"238":{"url":"/serving/main/en/topics/graph/operator_list#phe-2p-tree-ensemble-predict","type":"fragment","title":"SecretFlow-Serving Operator List - PHE_2P_TREE_ENSEMBLE_PREDICT","content":"Operator version: 0.0.1 Decrypt and calculate the prediction score of the tree ensemble "},"239":{"url":"/serving/main/en/topics/graph/operator_list#id39","type":"fragment","title":"SecretFlow-Serving Operator List - Attrs","content":"NameDescriptionTypeRequiredNotesbase_scoreThe initial prediction score, global bias.DoubleNDefault: 0.0.output_col_nameThe column name of the ensemble predict scoreStringYalgo_funcOptional value: LF_SIGMOID_RAW, LF_SIGMOID_MM1, LF_SIGMOID_MM3, LF_SIGMOID_GA, LF_SIGMOID_T1, LF_SIGMOID_T3, LF_SIGMOID_T5, LF_SIGMOID_T7, LF_SIGMOID_T9, LF_SIGMOID_LS7, LF_SIGMOID_SEG3, LF_SIGMOID_SEG5, LF_SIGMOID_DF, LF_SIGMOID_SR, LF_SIGMOID_SEGLSStringNDefault: LF_IDENTITY.input_col_nameThe column name of the tree ensemble encrypted raw predict scoreStringY NameDescriptionTypeRequiredNotes NameDescriptionTypeRequiredNotes Name Name Description Description Type Type Required Required Notes Notes base_scoreThe initial prediction score, global bias.DoubleNDefault: 0.0.output_col_nameThe column name of the ensemble predict scoreStringYalgo_funcOptional value: LF_SIGMOID_RAW, LF_SIGMOID_MM1, LF_SIGMOID_MM3, LF_SIGMOID_GA, LF_SIGMOID_T1, LF_SIGMOID_T3, LF_SIGMOID_T5, LF_SIGMOID_T7, LF_SIGMOID_T9, LF_SIGMOID_LS7, LF_SIGMOID_SEG3, LF_SIGMOID_SEG5, LF_SIGMOID_DF, LF_SIGMOID_SR, LF_SIGMOID_SEGLSStringNDefault: LF_IDENTITY.input_col_nameThe column name of the tree ensemble encrypted raw predict scoreStringY base_scoreThe initial prediction score, global bias.DoubleNDefault: 0.0. base_score base_score The initial prediction score, global bias. The initial prediction score, global bias. Double Double N N Default: 0.0. Default: 0.0. output_col_nameThe column name of the ensemble predict scoreStringY output_col_name output_col_name The column name of the ensemble predict score The column name of the ensemble predict score String String Y Y  algo_funcOptional value: LF_SIGMOID_RAW, LF_SIGMOID_MM1, LF_SIGMOID_MM3, LF_SIGMOID_GA, LF_SIGMOID_T1, LF_SIGMOID_T3, LF_SIGMOID_T5, LF_SIGMOID_T7, LF_SIGMOID_T9, LF_SIGMOID_LS7, LF_SIGMOID_SEG3, LF_SIGMOID_SEG5, LF_SIGMOID_DF, LF_SIGMOID_SR, LF_SIGMOID_SEGLSStringNDefault: LF_IDENTITY. algo_func algo_func Optional value: LF_SIGMOID_RAW, LF_SIGMOID_MM1, LF_SIGMOID_MM3, LF_SIGMOID_GA, LF_SIGMOID_T1, LF_SIGMOID_T3, LF_SIGMOID_T5, LF_SIGMOID_T7, LF_SIGMOID_T9, LF_SIGMOID_LS7, LF_SIGMOID_SEG3, LF_SIGMOID_SEG5, LF_SIGMOID_DF, LF_SIGMOID_SR, LF_SIGMOID_SEGLS Optional value: LF_SIGMOID_RAW, LF_SIGMOID_MM1, LF_SIGMOID_MM3, LF_SIGMOID_GA, LF_SIGMOID_T1, LF_SIGMOID_T3, LF_SIGMOID_T5, LF_SIGMOID_T7, LF_SIGMOID_T9, LF_SIGMOID_LS7, LF_SIGMOID_SEG3, LF_SIGMOID_SEG5, LF_SIGMOID_DF, LF_SIGMOID_SR, LF_SIGMOID_SEGLS String String N N Default: LF_IDENTITY. Default: LF_IDENTITY. input_col_nameThe column name of the tree ensemble encrypted raw predict scoreStringY input_col_name input_col_name The column name of the tree ensemble encrypted raw predict score The column name of the tree ensemble encrypted raw predict score String String Y Y  "},"240":{"url":"/serving/main/en/topics/graph/operator_list#id40","type":"fragment","title":"SecretFlow-Serving Operator List - Tags","content":"NameDescriptionreturnableThe operator’s output can be the final result NameDescription NameDescription Name Name Description Description returnableThe operator’s output can be the final result returnableThe operator’s output can be the final result returnable returnable The operator’s output can be the final result The operator’s output can be the final result "},"241":{"url":"/serving/main/en/topics/graph/operator_list#id41","type":"fragment","title":"SecretFlow-Serving Operator List - Inputs","content":"NameDescriptionraw_scoreThe encryped raw score of the tree ensemble NameDescription NameDescription Name Name Description Description raw_scoreThe encryped raw score of the tree ensemble raw_scoreThe encryped raw score of the tree ensemble raw_score raw_score The encryped raw score of the tree ensemble The encryped raw score of the tree ensemble "},"242":{"url":"/serving/main/en/topics/graph/operator_list#id42","type":"fragment","title":"SecretFlow-Serving Operator List - Output","content":"NameDescriptionscoreThe prediction result of the tree ensemble. NameDescription NameDescription Name Name Description Description scoreThe prediction result of the tree ensemble. scoreThe prediction result of the tree ensemble. score score The prediction result of the tree ensemble. The prediction result of the tree ensemble. "},"243":{"url":"/serving/main/en/topics/graph/operator_list#phe-2p-tree-merge","type":"fragment","title":"SecretFlow-Serving Operator List - PHE_2P_TREE_MERGE","content":"Operator version: 0.0.1 Merge the PHE_2P_TREE_SELECT output from multiple parties to obtain a unique prediction path and return the tree weight. PHE_2P_TREE_SELECT "},"244":{"url":"/serving/main/en/topics/graph/operator_list#id43","type":"fragment","title":"SecretFlow-Serving Operator List - Attrs","content":"NameDescriptionTypeRequiredNotesweight_shardThe leaf node’s weight shard list.The order must remain consistent with the sequence in PHE_2P_TREE_SELECT.leaf_node_ids.BytesYoutput_col_nameThe column name of tree predict scoreStringYweight_shard_col_nameThe column name of weight shardStringYselect_col_nameThe column name of selectsStringY NameDescriptionTypeRequiredNotes NameDescriptionTypeRequiredNotes Name Name Description Description Type Type Required Required Notes Notes weight_shardThe leaf node’s weight shard list.The order must remain consistent with the sequence in PHE_2P_TREE_SELECT.leaf_node_ids.BytesYoutput_col_nameThe column name of tree predict scoreStringYweight_shard_col_nameThe column name of weight shardStringYselect_col_nameThe column name of selectsStringY weight_shardThe leaf node’s weight shard list.The order must remain consistent with the sequence in PHE_2P_TREE_SELECT.leaf_node_ids.BytesY weight_shard weight_shard The leaf node’s weight shard list.The order must remain consistent with the sequence in PHE_2P_TREE_SELECT.leaf_node_ids. The leaf node’s weight shard list.The order must remain consistent with the sequence in PHE_2P_TREE_SELECT.leaf_node_ids. PHE_2P_TREE_SELECT.leaf_node_ids Bytes Bytes Y Y  output_col_nameThe column name of tree predict scoreStringY output_col_name output_col_name The column name of tree predict score The column name of tree predict score String String Y Y  weight_shard_col_nameThe column name of weight shardStringY weight_shard_col_name weight_shard_col_name The column name of weight shard The column name of weight shard String String Y Y  select_col_nameThe column name of selectsStringY select_col_name select_col_name The column name of selects The column name of selects String String Y Y  "},"245":{"url":"/serving/main/en/topics/graph/operator_list#id44","type":"fragment","title":"SecretFlow-Serving Operator List - Tags","content":"NameDescriptionmergeableThe operator accept the output of operators with different participants and will somehow merge them. NameDescription NameDescription Name Name Description Description mergeableThe operator accept the output of operators with different participants and will somehow merge them. mergeableThe operator accept the output of operators with different participants and will somehow merge them. mergeable mergeable The operator accept the output of operators with different participants and will somehow merge them. The operator accept the output of operators with different participants and will somehow merge them. "},"246":{"url":"/serving/main/en/topics/graph/operator_list#id45","type":"fragment","title":"SecretFlow-Serving Operator List - Inputs","content":"NameDescriptionselectsInput tree selects NameDescription NameDescription Name Name Description Description selectsInput tree selects selectsInput tree selects selects selects Input tree selects Input tree selects "},"247":{"url":"/serving/main/en/topics/graph/operator_list#id46","type":"fragment","title":"SecretFlow-Serving Operator List - Output","content":"NameDescriptiontree_weightThe final weight of the tree. NameDescription NameDescription Name Name Description Description tree_weightThe final weight of the tree. tree_weightThe final weight of the tree. tree_weight tree_weight The final weight of the tree. The final weight of the tree. "},"248":{"url":"/serving/main/en/topics/system/intro#secretflow-serving-system-introduction","type":"fragment","title":"SecretFlow-Serving System Introduction","content":"SecretFlow-Serving is a serving system for privacy-preserving machine learning models. "},"249":{"url":"/serving/main/en/topics/system/intro#key-features","type":"fragment","title":"SecretFlow-Serving System Introduction - Key Features","content":"\nOne process one model/version.\nSupport multiple parties (N >= 2).\nParallel compute between parties.\nBatch Predict API Supported.\nMulti-protocol support. Secretflow-Serving is built on brpc, a high-performance rpc framework, and is capable of using multiple communication protocols.\nSupport multiple types feature sources, e.g. SPI, CSV file, Mock data.\nSpecific model graph definition.\n One process one model/version. Support multiple parties (N >= 2). Parallel compute between parties. Batch Predict API Supported. Multi-protocol support. Secretflow-Serving is built on brpc, a high-performance rpc framework, and is capable of using multiple communication protocols. brpc Support multiple types feature sources, e.g. SPI, CSV file, Mock data. Specific model graph definition. "},"250":{"url":"/serving/main/en/topics/system/intro#architecture","type":"fragment","title":"SecretFlow-Serving System Introduction - Architecture","content":"Secretflow-Serving leverages the model package trained with Secretflow to provide model prediction capabilities at different security levels. It achieves this by utilizing the online feature data provided by each participant without compromising the integrity of the original data domain.   "},"251":{"url":"/serving/main/en/topics/system/intro#key-concepts","type":"fragment","title":"SecretFlow-Serving System Introduction - Key Concepts","content":"To understand the architecture of Secretflow-Serving, you need to understand the following key concepts: "},"252":{"url":"/serving/main/en/topics/system/intro#model-package","type":"fragment","title":"SecretFlow-Serving System Introduction - Model Package","content":"A Secretflow-Serving model package is a compressed package comprising a model file, a manifest file, and other metadata files. The manifest file provides meta-information about the model file and follows the defined structure outlined here. here The model file contains the graph that represents the model inference process, encompassing pre-processing, post-processing, and the specific inference algorithm. For graph details, please check Introduction to Graph. Introduction to Graph The metadata files, while optional, stores additional data information required during the model inference process. "},"253":{"url":"/serving/main/en/topics/system/intro#model-source","type":"fragment","title":"SecretFlow-Serving System Introduction - Model Source","content":"Secretflow-Serving supports retrieving model packages from different storage sources. Currently, the following data sources are supported: \nLocal Filesystem Data Source: Secretflow-Serving loads the model package from a specified local path.\nOSS/S3 Data Source: Secretflow-Serving attempts to download the model package from the OSS/S3 storage based on the provided configuration before loading it locally.\n Local Filesystem Data Source: Secretflow-Serving loads the model package from a specified local path. OSS/S3 Data Source: Secretflow-Serving attempts to download the model package from the OSS/S3 storage based on the provided configuration before loading it locally. "},"254":{"url":"/serving/main/en/topics/system/intro#feature-source","type":"fragment","title":"SecretFlow-Serving System Introduction - Feature Source","content":"Secretflow-Serving obtains the necessary features for the online inference process through the Feature Source. Currently, the platform supports the following feature data sources: \nHTTP Source: Secretflow-Serving defines a Service Provider Interface (SPI) for retrieving feature data. Feature providers can implement this SPI to supply features to Secretflow-Serving.\nCSV Source: Secretflow-Serving supports direct loading of CSV file as a feature source. For performance reasons, the CSV file is fully loaded into memory and features are filtered based on the ID column.\nMock Source: In this scenario, Secretflow-Serving uses randomly generated values as feature data.\n HTTP Source: Secretflow-Serving defines a Service Provider Interface (SPI) for retrieving feature data. Feature providers can implement this SPI to supply features to Secretflow-Serving. SPI CSV Source: Secretflow-Serving supports direct loading of CSV file as a feature source. For performance reasons, the CSV file is fully loaded into memory and features are filtered based on the ID column. Mock Source: In this scenario, Secretflow-Serving uses randomly generated values as feature data. "},"255":{"url":"/serving/main/en/topics/system/feature_service#feature-service","type":"fragment","title":"Feature Service","content":"SecretFlow-Serving recommends providing online prediction feature data by implementing a feature service. To use a feature service as a data source for supporting predictions, you can follow these steps: "},"256":{"url":"/serving/main/en/topics/system/feature_service#step-1-implement-and-deploy-the-feature-service","type":"fragment","title":"Feature Service - Step 1: Implement and deploy the feature service","content":"SecretFlow-Serving has defined a feature fetching SPI, users need to implement the SPI and deploy it as an http/https service to provide the capability to fetch feature data. The SPI definition can be found here. here The feature service interface is an HTTP interface where both the request and response bodies are in the application/json format. The details are as follows: application/json URL: http://xxxxx/BatchFeatureService/BatchFetchFeatureMethod: POSTHeaders: Content-Type: application/json URL: http://xxxxx/BatchFeatureService/BatchFetchFeature URL http://xxxxx/BatchFeatureService/BatchFetchFeature Method: POST Method Headers: Content-Type: application/json Headers Example of request body:  Field description: Field description NameTypeDescriptionRequiredheaderObject(Header)Custom data passed by the Predict request’s header.Noheader.dataMapKey:str, Value:strNomodel_service_idstrModel service specification idYesparty_idstrParty specification idYesfeature_fields[]List(FeatureField)Request feature field listYesfeature_fields[].namestrUnique name of the featureYesfeature_fields[].typeenum(FieldType)Field type of the featureYesparamObject(FeatureParam)Custom parameters data for querying feature values, the specific content format of which is determined by the feature datasource provider. Each one for query one row of features.Yesparam.query_datas[]List(str)The serialized datas for query features. Each one for query one row of features.Yesparam.query_contextstrOptional. Represents the common part of the query datas.No NameTypeDescriptionRequired NameTypeDescriptionRequired Name Name Type Type Description Description Required Required headerObject(Header)Custom data passed by the Predict request’s header.Noheader.dataMapKey:str, Value:strNomodel_service_idstrModel service specification idYesparty_idstrParty specification idYesfeature_fields[]List(FeatureField)Request feature field listYesfeature_fields[].namestrUnique name of the featureYesfeature_fields[].typeenum(FieldType)Field type of the featureYesparamObject(FeatureParam)Custom parameters data for querying feature values, the specific content format of which is determined by the feature datasource provider. Each one for query one row of features.Yesparam.query_datas[]List(str)The serialized datas for query features. Each one for query one row of features.Yesparam.query_contextstrOptional. Represents the common part of the query datas.No headerObject(Header)Custom data passed by the Predict request’s header.No header header Object(Header) Object(Header) Custom data passed by the Predict request’s header. Custom data passed by the Predict request’s header. No No header.dataMapKey:str, Value:strNo header.data header.data Map Map Key:str, Value:str Key:str, Value:str No No model_service_idstrModel service specification idYes model_service_id model_service_id str str Model service specification id Model service specification id Yes Yes party_idstrParty specification idYes party_id party_id str str Party specification id Party specification id Yes Yes feature_fields[]List(FeatureField)Request feature field listYes feature_fields[] feature_fields[] List(FeatureField) List(FeatureField) Request feature field list Request feature field list Yes Yes feature_fields[].namestrUnique name of the featureYes feature_fields[].name feature_fields[].name str str Unique name of the feature Unique name of the feature Yes Yes feature_fields[].typeenum(FieldType)Field type of the featureYes feature_fields[].type feature_fields[].type enum(FieldType) enum(FieldType) Field type of the feature Field type of the feature Yes Yes paramObject(FeatureParam)Custom parameters data for querying feature values, the specific content format of which is determined by the feature datasource provider. Each one for query one row of features.Yes param param Object(FeatureParam) Object(FeatureParam) Custom parameters data for querying feature values, the specific content format of which is determined by the feature datasource provider. Each one for query one row of features. Custom parameters data for querying feature values, the specific content format of which is determined by the feature datasource provider. Each one for query one row of features. Yes Yes param.query_datas[]List(str)The serialized datas for query features. Each one for query one row of features.Yes param.query_datas[] param.query_datas[] List(str) List(str) The serialized datas for query features. Each one for query one row of features. The serialized datas for query features. Each one for query one row of features. Yes Yes param.query_contextstrOptional. Represents the common part of the query datas.No param.query_context param.query_context str str Optional. Represents the common part of the query datas. Optional. Represents the common part of the query datas. No No Example of response body:  Field description: Field description NameTypeDescriptionRequiredheaderObject(Header)Custom dataNoheader.dataMapKey:str, Value:strNostatusObject(Status)The Status of this responseYesstatus.codeenum(ErrorCode)Value reference ErrorCodeYesstatus.msgstrThe detail message of the statusYesfeaturesListThe Request feature data listYesfeatures[].fieldObject(FeatureField)The definition of a feature fieldYesfeatures[].field.namestrUnique name of the featureYesfeatures[].field.typeenum(FieldType)Field type of the featureYesfeatures[].valueObject(FeatureValue)The definition of a feature valueYesfeatures[].value.i32s[]Listint32 feature value data listNo(assign the corresponding value list based on field.type)features[].value.i64s[]Listint64 feature value data listNo(assign the corresponding value list based on field.type)features[].value.fs[]Listfloat feature value data listNo(assign the corresponding value list based on field.type)features[].value.ds[]Listdouble feature value data listNo(assign the corresponding value list based on field.type)features[].value.ss[]Liststring feature value data listNo(assign the corresponding value list based on field.type)features[].value.bs[]Listbool feature value data listNo(assign the corresponding value list based on field.type) NameTypeDescriptionRequired NameTypeDescriptionRequired Name Name Type Type Description Description Required Required headerObject(Header)Custom dataNoheader.dataMapKey:str, Value:strNostatusObject(Status)The Status of this responseYesstatus.codeenum(ErrorCode)Value reference ErrorCodeYesstatus.msgstrThe detail message of the statusYesfeaturesListThe Request feature data listYesfeatures[].fieldObject(FeatureField)The definition of a feature fieldYesfeatures[].field.namestrUnique name of the featureYesfeatures[].field.typeenum(FieldType)Field type of the featureYesfeatures[].valueObject(FeatureValue)The definition of a feature valueYesfeatures[].value.i32s[]Listint32 feature value data listNo(assign the corresponding value list based on field.type)features[].value.i64s[]Listint64 feature value data listNo(assign the corresponding value list based on field.type)features[].value.fs[]Listfloat feature value data listNo(assign the corresponding value list based on field.type)features[].value.ds[]Listdouble feature value data listNo(assign the corresponding value list based on field.type)features[].value.ss[]Liststring feature value data listNo(assign the corresponding value list based on field.type)features[].value.bs[]Listbool feature value data listNo(assign the corresponding value list based on field.type) headerObject(Header)Custom dataNo header header Object(Header) Object(Header) Custom data Custom data No No header.dataMapKey:str, Value:strNo header.data header.data Map Map Key:str, Value:str Key:str, Value:str No No statusObject(Status)The Status of this responseYes status status Object(Status) Object(Status) The Status of this response The Status of this response Yes Yes status.codeenum(ErrorCode)Value reference ErrorCodeYes status.code status.code enum(ErrorCode) enum(ErrorCode) Value reference ErrorCode Value reference ErrorCode ErrorCode Yes Yes status.msgstrThe detail message of the statusYes status.msg status.msg str str The detail message of the status The detail message of the status Yes Yes featuresListThe Request feature data listYes features features List List The Request feature data list The Request feature data list Yes Yes features[].fieldObject(FeatureField)The definition of a feature fieldYes features[].field features[].field Object(FeatureField) Object(FeatureField) The definition of a feature field The definition of a feature field Yes Yes features[].field.namestrUnique name of the featureYes features[].field.name features[].field.name str str Unique name of the feature Unique name of the feature Yes Yes features[].field.typeenum(FieldType)Field type of the featureYes features[].field.type features[].field.type enum(FieldType) enum(FieldType) Field type of the feature Field type of the feature Yes Yes features[].valueObject(FeatureValue)The definition of a feature valueYes features[].value features[].value Object(FeatureValue) Object(FeatureValue) The definition of a feature value The definition of a feature value Yes Yes features[].value.i32s[]Listint32 feature value data listNo(assign the corresponding value list based on field.type) features[].value.i32s[] features[].value.i32s[] List List int32 feature value data list int32 feature value data list No(assign the corresponding value list based on field.type) No(assign the corresponding value list based on field.type) field.type features[].value.i64s[]Listint64 feature value data listNo(assign the corresponding value list based on field.type) features[].value.i64s[] features[].value.i64s[] List List int64 feature value data list int64 feature value data list No(assign the corresponding value list based on field.type) No(assign the corresponding value list based on field.type) field.type features[].value.fs[]Listfloat feature value data listNo(assign the corresponding value list based on field.type) features[].value.fs[] features[].value.fs[] List List float feature value data list float feature value data list No(assign the corresponding value list based on field.type) No(assign the corresponding value list based on field.type) field.type features[].value.ds[]Listdouble feature value data listNo(assign the corresponding value list based on field.type) features[].value.ds[] features[].value.ds[] List List double feature value data list double feature value data list No(assign the corresponding value list based on field.type) No(assign the corresponding value list based on field.type) field.type features[].value.ss[]Liststring feature value data listNo(assign the corresponding value list based on field.type) features[].value.ss[] features[].value.ss[] List List string feature value data list string feature value data list No(assign the corresponding value list based on field.type) No(assign the corresponding value list based on field.type) field.type features[].value.bs[]Listbool feature value data listNo(assign the corresponding value list based on field.type) features[].value.bs[] features[].value.bs[] List List bool feature value data list bool feature value data list No(assign the corresponding value list based on field.type) No(assign the corresponding value list based on field.type) field.type "},"257":{"url":"/serving/main/en/topics/system/feature_service#step-2-configure-startup-config","type":"fragment","title":"Feature Service - Step 2: Configure startup config","content":"Configure the feature data source in the SecretFlow-Serving startup configuration to the following pattern:  In this configuration, the endpoint is the URL of the feature service’s feature fetching interface. SecretFlow-Serving will access the feature service to obtain feature data according to the SPI definition. Detailed configuration instructions can be found here. here "},"258":{"url":"/serving/main/en/topics/system/observability#secretflow-serving-system-observability","type":"fragment","title":"SecretFlow-Serving System Observability","content":"Secretflow-Serving currently supports two observation types: logs and metrics. "},"259":{"url":"/serving/main/en/topics/system/observability#logs","type":"fragment","title":"Logs","content":"You can configure the log path, log level, etc. by specifying the LoggingConfig when serving is started.\nYou can also view the example. LoggingConfig example "},"260":{"url":"/serving/main/en/topics/system/observability#metrics","type":"fragment","title":"Metrics","content":""},"261":{"url":"/serving/main/en/topics/system/observability#format","type":"fragment","title":"Metrics - Format","content":"Secretflow-Serving uses the Prometheus standard to generate metrics.\nThe metric service is turned off by default,\nyou may start metric service by specifying metrics_exposer_port of ServerConfig.\nThen You can obtain the metrics by requesting MetricsService on this port.\nThat is to say, Serving supports pull mode.\nYou could use The Prometheus monitoring system to collect metrics,\nor simply use curl like this: Prometheus metrics_exposer_port ServerConfig MetricsService The Prometheus monitoring system curl  "},"262":{"url":"/serving/main/en/topics/system/observability#metric-entries","type":"fragment","title":"Metrics - Metric entries","content":"Serving mainly records the number of interface requests and the request duration time for various services,\nwith some additional labels,\nsuch as the error code, party_id, etc. The sevices of Secretflow-Serving are shown below:   PredictRequest first goes to the PredictionService,\nand the PredictionService will then request the local ExecutionCore or\nthe remote ExecutionService according to the different DispatchType  in\nthe Graph. If the FeatureSourceType of request is FS_SERVICE,\nthen the ExecutionCore will request the BatchFeatureService. PredictRequest PredictionService PredictionService ExecutionCore ExecutionService DispatchType FeatureSourceType FS_SERVICE ExecutionCore BatchFeatureService GetModelInfoRequest goes to ModelService to get model info. Model info is public for all parties. GetModelInfoRequest ModelService Model info Metrics of Secretflow-Serving have the following parts: Prometheus supports a multi-dimensional data model with time series data identified by metric name and key/value pairs, called labels.\nSecretflow-Serving metrics have some common labels:\nhandler: the subject providing services\naction: operation name\nparty id: self_id of ClusterConfig\nservice_id: id of ServingConfig\nIf you want to know what is Counter or Summary, you could check out this page. Prometheus supports a multi-dimensional data model with time series data identified by metric name and key/value pairs, called labels.\nSecretflow-Serving metrics have some common labels: \nhandler: the subject providing services\naction: operation name\nparty id: self_id of ClusterConfig\nservice_id: id of ServingConfig\n handler: the subject providing services action: operation name party id: self_id of ClusterConfig self_id ClusterConfig ClusterConfig service_id: id of ServingConfig id ServingConfig ServingConfig If you want to know what is Counter or Summary, you could check out this page. Counter Summary this page "},"263":{"url":"/serving/main/en/topics/system/observability#brpc-metric","type":"fragment","title":"Metrics - Brpc metric","content":"Serving will dump brpc internal metrics in Prometheus format, refer to issue. issue "},"264":{"url":"/serving/main/en/topics/system/observability#metricsservice-metrics","type":"fragment","title":"Metrics - MetricsService metrics","content":"nametypedescexposer_transferred_bytes_totalCounterTransferred bytes to metrics servicesexposer_scrapes_totalCounterNumber of times metrics were scrapedexposer_request_duration_millisecondsSummarySummary of latencies of serving scrape requests, in milliseconds  with  0.5-quantile, 0.9-quantile, 0.99-quantile nametypedesc nametypedesc name name type type desc desc exposer_transferred_bytes_totalCounterTransferred bytes to metrics servicesexposer_scrapes_totalCounterNumber of times metrics were scrapedexposer_request_duration_millisecondsSummarySummary of latencies of serving scrape requests, in milliseconds  with  0.5-quantile, 0.9-quantile, 0.99-quantile exposer_transferred_bytes_totalCounterTransferred bytes to metrics services exposer_transferred_bytes_total exposer_transferred_bytes_total Counter Counter Transferred bytes to metrics services Transferred bytes to metrics services exposer_scrapes_totalCounterNumber of times metrics were scraped exposer_scrapes_total exposer_scrapes_total Counter Counter Number of times metrics were scraped Number of times metrics were scraped exposer_request_duration_millisecondsSummarySummary of latencies of serving scrape requests, in milliseconds  with  0.5-quantile, 0.9-quantile, 0.99-quantile exposer_request_duration_milliseconds exposer_request_duration_milliseconds Summary Summary Summary of latencies of serving scrape requests, in milliseconds  with  0.5-quantile, 0.9-quantile, 0.99-quantile Summary of latencies of serving scrape requests, in milliseconds  with  0.5-quantile, 0.9-quantile, 0.99-quantile "},"265":{"url":"/serving/main/en/topics/system/observability#predictionservice-metrics","type":"fragment","title":"Metrics - PredictionService metrics","content":"nametypedesclabelprediction_request_countCounterHow many prediction service api requests are handled by this server.handler: PredictionServiceservice_idparty_idactioncode: error code of responseprediction_sample_countCounterHow many prediction samples are processed by this services.handler: PredictionServiceservice_idparty_idactionprediction_request_duration_millisecondsSummarySummary of prediction service api request duration in milliseconds with 0.5-quantile, 0.9-quantile, 0.99-quantilehandler: PredictionServiceservice_idparty_idaction nametypedesclabel nametypedesclabel name name type type desc desc label label prediction_request_countCounterHow many prediction service api requests are handled by this server.handler: PredictionServiceservice_idparty_idactioncode: error code of responseprediction_sample_countCounterHow many prediction samples are processed by this services.handler: PredictionServiceservice_idparty_idactionprediction_request_duration_millisecondsSummarySummary of prediction service api request duration in milliseconds with 0.5-quantile, 0.9-quantile, 0.99-quantilehandler: PredictionServiceservice_idparty_idaction prediction_request_countCounterHow many prediction service api requests are handled by this server.handler: PredictionService prediction_request_count prediction_request_count Counter Counter How many prediction service api requests are handled by this server. How many prediction service api requests are handled by this server. handler: PredictionService handler: PredictionService service_id service_id service_id party_id party_id party_id action action action code: error code of response code: error code of response code: error code of response prediction_sample_countCounterHow many prediction samples are processed by this services.handler: PredictionService prediction_sample_count prediction_sample_count Counter Counter How many prediction samples are processed by this services. How many prediction samples are processed by this services. handler: PredictionService handler: PredictionService service_id service_id service_id party_id party_id party_id action action action prediction_request_duration_millisecondsSummarySummary of prediction service api request duration in milliseconds with 0.5-quantile, 0.9-quantile, 0.99-quantilehandler: PredictionService prediction_request_duration_milliseconds prediction_request_duration_milliseconds Summary Summary Summary of prediction service api request duration in milliseconds with 0.5-quantile, 0.9-quantile, 0.99-quantile Summary of prediction service api request duration in milliseconds with 0.5-quantile, 0.9-quantile, 0.99-quantile handler: PredictionService handler: PredictionService service_id service_id service_id party_id party_id party_id action action action "},"266":{"url":"/serving/main/en/topics/system/observability#executionservice-metrics","type":"fragment","title":"Metrics - ExecutionService metrics","content":"nametypedesclabelsexecution_request_countCounterHow many execution requests are handled by this server.handler: ExecutionServiceservice_idparty_idactioncode: error code of responseexecution_request_duration_millisecondsSummarySummary of execution service api request duration in milliseconds  with  0.5-quantile, 0.9-quantile, 0.99-quantilehandler: ExecutionServiceservice_idparty_idaction nametypedesclabels nametypedesclabels name name type type desc desc labels labels execution_request_countCounterHow many execution requests are handled by this server.handler: ExecutionServiceservice_idparty_idactioncode: error code of responseexecution_request_duration_millisecondsSummarySummary of execution service api request duration in milliseconds  with  0.5-quantile, 0.9-quantile, 0.99-quantilehandler: ExecutionServiceservice_idparty_idaction execution_request_countCounterHow many execution requests are handled by this server.handler: ExecutionService execution_request_count execution_request_count Counter Counter How many execution requests are handled by this server. How many execution requests are handled by this server. handler: ExecutionService handler: ExecutionService service_id service_id service_id party_id party_id party_id action action action code: error code of response code: error code of response code: error code of response execution_request_duration_millisecondsSummarySummary of execution service api request duration in milliseconds  with  0.5-quantile, 0.9-quantile, 0.99-quantilehandler: ExecutionService execution_request_duration_milliseconds execution_request_duration_milliseconds Summary Summary Summary of execution service api request duration in milliseconds  with  0.5-quantile, 0.9-quantile, 0.99-quantile Summary of execution service api request duration in milliseconds  with  0.5-quantile, 0.9-quantile, 0.99-quantile handler: ExecutionService handler: ExecutionService service_id service_id service_id party_id party_id party_id action action action "},"267":{"url":"/serving/main/en/topics/system/observability#modelservice-metrics","type":"fragment","title":"Metrics - ModelService metrics","content":"nametypedesclabelsmodel_service_request_countCounterHow many execution requests are handled by this server.handler: ModelServiceservice_idparty_idactioncode: error code of responsemodel_service_request_duration_millisecondsSummarySummary of model service api request duration in milliseconds  with  0.5-quantile, 0.9-quantile, 0.99-quantilehandler: ModelServiceservice_idparty_idaction nametypedesclabels nametypedesclabels name name type type desc desc labels labels model_service_request_countCounterHow many execution requests are handled by this server.handler: ModelServiceservice_idparty_idactioncode: error code of responsemodel_service_request_duration_millisecondsSummarySummary of model service api request duration in milliseconds  with  0.5-quantile, 0.9-quantile, 0.99-quantilehandler: ModelServiceservice_idparty_idaction model_service_request_countCounterHow many execution requests are handled by this server.handler: ModelService model_service_request_count model_service_request_count Counter Counter How many execution requests are handled by this server. How many execution requests are handled by this server. handler: ModelService handler: ModelService service_id service_id service_id party_id party_id party_id action action action code: error code of response code: error code of response code: error code of response model_service_request_duration_millisecondsSummarySummary of model service api request duration in milliseconds  with  0.5-quantile, 0.9-quantile, 0.99-quantilehandler: ModelService model_service_request_duration_milliseconds model_service_request_duration_milliseconds Summary Summary Summary of model service api request duration in milliseconds  with  0.5-quantile, 0.9-quantile, 0.99-quantile Summary of model service api request duration in milliseconds  with  0.5-quantile, 0.9-quantile, 0.99-quantile handler: ModelService handler: ModelService service_id service_id service_id party_id party_id party_id action action action "},"268":{"url":"/serving/main/en/topics/system/observability#trace","type":"fragment","title":"Trace","content":"Secretflow-Serving supports B3 Multiple Headers trace propagation protocol and\nuses the Opentelemetry standard to generate trace info.\nBy default, trace information will not be exported, but Secretflow-Serving will still propagate trace information.\nIf you want to export trace information, you can specifying trace_config_file option when starting SecretFlow-Serving.\nHowever, exporting trace information may cause some performance degradation. B3 Multiple Headers Opentelemetry trace_config_file However, exporting trace information may cause some performance degradation. "},"269":{"url":"/serving/main/en/topics/system/observability#configure","type":"fragment","title":"Trace - Configure","content":"When starting SecretFlow-Serving, you can specify a config file according to TraceConfig in json format like this: TraceConfig  You can also view the example. example Currently SecretFlow-Serving supports export span info to a trace log file.\nYou can specify a filename and other options in configuration. "},"270":{"url":"/serving/main/en/topics/system/observability#id1","type":"fragment","title":"Trace - Format","content":"Every line of the trace log file is a ResourceSpans in json format. ResourceSpans  Since TraceId and SpanId are defined as bytes in proto file,\nso if you want to view the real value, you need to do the following conversion: TraceId SpanId bytes proto file  "},"271":{"url":"/serving/main/en/topics/system/observability#attributes","type":"fragment","title":"Trace - Attributes","content":"The spans generated by Serving contain some attributes. Some of them are filled according to\nthe opentelemetry standard, which has some predefined sematic conversions.\nOther Attributes such as span_info, whose value is a instance of SpanInfo in json format,\nand request_protocol represents the protocol of brpc , you can refer to client protocol\nand server protocol. opentelemetry sematic conversions span_info SpanInfo request_protocol brpc client protocol server protocol "},"272":{"url":"/serving/main/en/topics/algorithm/intro#introduction-to-prediction-algorithms","type":"fragment","title":"Introduction To Prediction Algorithms","content":"We will introduce two common vertical prediction models. Vertical means that the participating parties each hold different feature values of the same entity. For example, one party has height data and the other party has weight data for the same person. The two parties will use PSI or other methods to align their datas. The data they have is aligned and jointly predicted through the ID shared by both parties. This article assumes that we already have a model and does not introduce the origin of the model. If you are interested in the generation of the model, that is, the training process, you can refer to the relevant documents of Secretflow . The principle is that during the training and prediction process, both parties are invisible to each other’s data, they cannot send raw data to each other. Secretflow "},"273":{"url":"/serving/main/en/topics/algorithm/intro#vertical-linear-prediction","type":"fragment","title":"Introduction To Prediction Algorithms - Vertical Linear Prediction","content":""},"274":{"url":"/serving/main/en/topics/algorithm/intro#linear-models","type":"fragment","title":"Introduction To Prediction Algorithms - Linear Models","content":"The formula for the linear model is: y=bias+w1x1+w2x2+⋯+wpxp=bias+WTXy = bias + w_1 x_1 + w_2 x_2+\\dots+ w_p x_p = bias + W^TXy=bias+w1​x1​+w2​x2​+⋯+wp​xp​=bias+WTX y=bias+w1x1+w2x2+⋯+wpxp=bias+WTXy = bias + w_1 x_1 + w_2 x_2+\\dots+ w_p x_p = bias + W^TXy=bias+w1​x1​+w2​x2​+⋯+wp​xp​=bias+WTX y=bias+w1x1+w2x2+⋯+wpxp=bias+WTXy = bias + w_1 x_1 + w_2 x_2+\\dots+ w_p x_p = bias + W^TXy=bias+w1​x1​+w2​x2​+⋯+wp​xp​=bias+WTX y=bias+w1x1+w2x2+⋯+wpxp=bias+WTXy = bias + w_1 x_1 + w_2 x_2+\\dots+ w_p x_p = bias + W^TX y=bias+w1x1+w2x2+⋯+wpxp=bias+WTXy = bias + w_1 x_1 + w_2 x_2+\\dots+ w_p x_p = bias + W^TX y=bias+w1x1+w2x2+⋯+wpxp=bias+WTXy = bias + w_1 x_1 + w_2 x_2+\\dots+ w_p x_p = bias + W^TX y=bias+w1x1+w2x2+⋯+wpxp=bias+WTX y = b i a s + w1 w 1 x1 x 1 + w2 w 2 x2 x 2 + ⋯ + wp w p xp x p = b i a s + WT W T X y = bias + w_1 x_1 + w_2 x_2+\\dots+ w_p x_p = bias + W^TX y=bias+w1​x1​+w2​x2​+⋯+wp​xp​=bias+WTX y=  y  =  bias+  bia s  +  w1​x1​+  w1​ w 1​ 1​ 1​ 1 1  1 1 ​    x1​ x 1​ 1​ 1​ 1 1  1 1 ​     +  w2​x2​+  w2​ w 2​ 2​ 2​ 2 2  2 2 ​    x2​ x 2​ 2​ 2​ 2 2  2 2 ​     +  ⋯+  ⋯  +  wp​xp​=  wp​ w p​ p​ p​ p p  p p ​    xp​ x p​ p​ p​ p p  p p ​     =  bias+  bia s  +  WTX  WT W T T T T T  T T X          \nxi(i=1−p)x_i (i=1 - p)xi​(i=1−p) represents the value of each feature.\nwi(i=1−p)w_i (i = 1 - p)wi​(i=1−p) represents the coefficient of each feature value.\nbiasbiasbias is the bias value of the model.\nyyy is the predicted value of the model.\nWTW^TWT is the transpose of the column vector of feature coefficients.\nXXX is the column vector of feature values.\n xi(i=1−p)x_i (i=1 - p)xi​(i=1−p) represents the value of each feature. xi(i=1−p)x_i (i=1 - p)xi​(i=1−p) xi(i=1−p)x_i (i=1 - p)xi​(i=1−p) xi(i=1−p)x_i (i=1 - p) xi(i=1−p)x_i (i=1 - p) xi(i=1−p)x_i (i=1 - p) xi(i=1−p) xi x i ( i = 1 − p ) x_i (i=1 - p) xi​(i=1−p) xi​(i=  xi​ x i​ i​ i​ i i  i i ​    ( i  =  1−  1  −  p)  p ) wi(i=1−p)w_i (i = 1 - p)wi​(i=1−p) represents the coefficient of each feature value. wi(i=1−p)w_i (i = 1 - p)wi​(i=1−p) wi(i=1−p)w_i (i = 1 - p)wi​(i=1−p) wi(i=1−p)w_i (i = 1 - p) wi(i=1−p)w_i (i = 1 - p) wi(i=1−p)w_i (i = 1 - p) wi(i=1−p) wi w i ( i = 1 − p ) w_i (i = 1 - p) wi​(i=1−p) wi​(i=  wi​ w i​ i​ i​ i i  i i ​    ( i  =  1−  1  −  p)  p ) biasbiasbias is the bias value of the model. biasbiasbias biasbiasbias biasbias biasbias biasbias bias b i a s bias bias bias  bia s yyy is the predicted value of the model. yyy yyy yy yy yy y y y y y  y WTW^TWT is the transpose of the column vector of feature coefficients. WTW^TWT WTW^TWT WTW^T WTW^T WTW^T WT WT W T W^T WT WT  WT W T T T T T  T T XXX is the column vector of feature values. XXX XXX XX XX XX X X X X X  X That is, the predicted value of the model can be simply expressed as the dot product of the feature value and the coefficient plus the bias.\nIf it is a classification problem, the formula becomes: y=1/(1+e−(bias+WTX))y = 1 / (1 + e^{-(bias + W^TX)})y=1/(1+e−(bias+WTX)) y=1/(1+e−(bias+WTX))y = 1 / (1 + e^{-(bias + W^TX)})y=1/(1+e−(bias+WTX)) y=1/(1+e−(bias+WTX))y = 1 / (1 + e^{-(bias + W^TX)})y=1/(1+e−(bias+WTX)) y=1/(1+e−(bias+WTX))y = 1 / (1 + e^{-(bias + W^TX)}) y=1/(1+e−(bias+WTX))y = 1 / (1 + e^{-(bias + W^TX)}) y=1/(1+e−(bias+WTX))y = 1 / (1 + e^{-(bias + W^TX)}) y=1/(1+e−(bias+WTX)) y = 1 / ( 1 + e−(bias+WTX) e −(bias+WTX) − ( b i a s + WT W T X ) ) y = 1 / (1 + e^{-(bias + W^TX)}) y=1/(1+e−(bias+WTX)) y=  y  =  1/(1+  1/ ( 1  +  e−(bias+WTX))  e−(bias+WTX) e −(bias+WTX) −(bias+WTX) −(bias+WTX) −(bias+WTX) −(bias+WTX)  −(bias+WTX) −(bias+WTX) − ( bia s + WT W T T T T T  T T X ) )          Usually we use approximate functions to describe the above functions. "},"275":{"url":"/serving/main/en/topics/algorithm/intro#vertical-linear-model-calculation","type":"fragment","title":"Introduction To Prediction Algorithms - Vertical Linear Model Calculation","content":"Vertical means that multiple parties participating in the prediction hold part of the feature value. For example, assuming that the parties include Alice and Bob, predicting housing prices, Alice owns the area of the house, and Bob owns the which floor where the house is located. Then when the model is trained, Alice You will get the model coefficient of the area, Bob will get the coefficient of floor number, and the bias value will be saved in either side. When calculating, as shown in the figure below, each party will use their own coefficients to do dot multiplication calculation (DotProduct operator), and then send it to one party for merging (MergeY operator), and finally get the result:   Here, for the simplicity of the illustration, the area number and floor number are sent to Alice. This is not allowed because Alice shall not know Bob’s feature data. When predicting, all Alice sends to Bob is the query data, and Bob will use the query data to know what data should be used for joint calculation. "},"276":{"url":"/serving/main/en/topics/algorithm/intro#vertical-tree-model-prediction","type":"fragment","title":"Introduction To Prediction Algorithms - Vertical Tree Model Prediction","content":""},"277":{"url":"/serving/main/en/topics/algorithm/intro#tree-model","type":"fragment","title":"Introduction To Prediction Algorithms - Tree Model","content":"Still using the above example of house price prediction, a simple tree model can be represented by the following figure. Non-leaf nodes contain a feature value, and leaf nodes contain predicted values. When predicting, starting from root node, if the current feature value is greater than the feature value of the node, the right node of the current node is used for calculation, otherwise the left node is used. If a leaf node is reached, the value of the current leaf node is used as the predicted value. As shown in the tree below, if we predict the house price with an area of 110 and a floor of 8, the yellow node in the picture below will be used, and the final predicted value is 2:   As can be seen from the above figure, a simple tree model is relatively rough, so there is a method of using multiple trees to calculate predicted values, and XGB is one of the better models. "},"278":{"url":"/serving/main/en/topics/algorithm/intro#vertical-tree-model","type":"fragment","title":"Introduction To Prediction Algorithms - Vertical Tree Model","content":"The XGB method uses multiple trees to make predictions, and the final prediction value is the sum of the values predicted by each tree (the resulting leaf node values). During XGB training, a greedy method is used to reduce the calculation amount of selecting the feature value of each node, and when training each tree, the previously trained tree will be used, that is, the residual is used for fitting. For prediction, we just need to use these already trained trees. SGB is XGB in a vertical scenario, that is, multiple parties hold different features and jointly participate in the calculation, and during the training and prediction process, the data of each party will not be leaked. "},"279":{"url":"/serving/main/en/topics/algorithm/intro#vertical-tree-model-prediction-calculation","type":"fragment","title":"Introduction To Prediction Algorithms - Vertical Tree Model Prediction Calculation","content":"For simplicity, assume that the model is just one tree, because the process for prediction is the same for each tree. The participants are Alice and Bob. Alice holds the area data and Bob holds the floor data. During training, the party holding the training data housing prices will hold the weights of all leaf nodes. That is, each holds a part of the tree, as shown below:   When predicting, there will be three operators involved. The first operator TREE_SELECT and TREE_SELECT need to be executed by all parties. The result of the execution is the label array of the leaf node. For each sample, start from the root node of the sub-model and look downwards for the leaf nodes. The search method is: if the feature value of the current node belongs to the participant himself, then select its left child node or right child node according to the the feature value; if the feature value of the current node does not belong to itself, then its left child node and the right child node will be selected, and finally a selection list of all leaf nodes will be obtained. The value of the selected leaf node is 1, otherwise it is 0.\nThe TREE_MERGE operator is executed on the party with the weight of the leaf node. Each party sends the selection list obtained by its TREE_SELECT to this party. It will perform an AND operation on all the selection lists. The leaf node with the result of 1 is unique, then the leaf node’s weight is the result of the operator.\nEach tree corresponds to a TREE_SELECT operator and a TREE_MERGE operator.\nThe aggregation of multiple trees is completed by TREE_ENSEMBLE_PREDICT, and like the linear model, the results can also be calculated by sigmoid. The calculation method of sigmoid here is consistent with the approximation method used during training. The result of TREE_ENSEMBLE_PREDICT is the prediction result.   "},"280":{"url":"/serving/main/en/topics/deployment/serving_on_kuscia#secretflow-serving-on-kuscia","type":"fragment","title":"SecretFlow-Serving on Kuscia","content":"SecretFlow-Serving recommends using Kusica for deployment and management. Kusica "},"281":{"url":"/serving/main/en/topics/deployment/serving_on_kuscia#appimage","type":"fragment","title":"SecretFlow-Serving on Kuscia - AppImage","content":"To deploy SecretFlow-Serving in Kusica, you first need to register the template information for the application image. The specific registration method can be found here. The AppImage for SecretFlow-Serving is as follows: here AppImage  You can also use mirrors at Alibaba Cloud: secretflow-registry.cn-hangzhou.cr.aliyuncs.com/secretflow/serving-anolis8:latestsecretflow-registry.cn-hangzhou.cr.aliyuncs.com/secretflow/serving-anolis8:[tag] You can also use mirrors at Alibaba Cloud: secretflow-registry.cn-hangzhou.cr.aliyuncs.com/secretflow/serving-anolis8:latestsecretflow-registry.cn-hangzhou.cr.aliyuncs.com/secretflow/serving-anolis8:[tag] secretflow-registry.cn-hangzhou.cr.aliyuncs.com/secretflow/serving-anolis8:latestsecretflow-registry.cn-hangzhou.cr.aliyuncs.com/secretflow/serving-anolis8:[tag] The explanation of the common fields can be found here. here Other field explanations are as follows: \n\nconfigTemplates:\n\nserving-config.conf:\nserving_id: Service ID identifier, corresponding to the configuration ServingConfig.id. The current content is a placeholder and will actually be replaced by the content in Kuscia API /api/v1/serving/create at startup.\ninput_config: SecretFlow-Serving startup configuration, details can be seen in the description below. The current content is a placeholder and will actually be replaced by the content in Kuscia API /api/v1/serving/create at startup.\ncluster_def: See AppImage explanation.\nallocated_ports: See AppImage explanation.\noss_meta: OSS/S3 model source configuration, only effective when using OSS/S3 as the model data source. The actual content is in the form of a string-formatted JSON configuration, for example” {\\\"access_key\\\":\\\"test_ak\\\", \\\"secret_key\\\":\\\"test_sk\\\", \\\"virtual_hosted\\\":true, \\\"endpoint\\\":\\\"test_endpoint\\\", \\\"bucket\\\":\\\"test_bucket\\\"}, the definition can be found here. This is an optional configuration and can be set up through the Kuscia configuration management system if needed.\nspi_tls_config: The TLS configuration used by SPI. The actual content is in the form of a string-formatted JSON configuration, for example: {\\\"certificate_path\\\":\\\"abc\\\", \\\"private_key_path\\\":\\\"def\\\",\\\"ca_file_path\\\":\\\"gkh\\\"}, the definition can be found here. This is an optional configuration and can be set up through the Kuscia configuration management system if needed.\nhttp_source_meta: HTTP model source configuration, only effective when using HTTP as the model data source. The actual content is in the form of a string-formatted JSON configuration, for example” {\\\"connectTimeoutMs\\\":60000,\\\"timeoutMs\\\":120000,\\\"tlsConfig\\\":{\\\"certificatePath\\\":\\\"abc\\\", \\\"privateKeyPath\\\":\\\"def\\\",\\\"caFilePath\\\":\\\"gkh\\\"}}, the definition can be found here. This is an optional configuration and can be set up through the Kuscia configuration management system if needed.\n\n\n\nlogging-config.conf: SecretFlow-Serving Log Configuration. The actual content is in the form of a string-formatted JSON configuration, for example” {\\\"systemLogPath\\\":\\\"/tmp/alice/serving.log\\\",\\\"logLevel\\\":\\\"INFO_LOG_LEVEL\\\",\\\"maxLogFileSize\\\":4194304,\\\"maxLogFileCount\\\":10}, the definition can be found here. This is an optional configuration and can be set up through the Kuscia configuration management system if needed.\n\n\ntrace-config.conf: SecretFlow-Serving Trace Configuration. The actual content is in the form of a string-formatted JSON configuration, for example” {\\\"traceLogEnable\\\":true,\\\"traceLogConf\\\":{\\\"traceLogPath\\\":\\\"/tmp/trace.log\\\"}}, the definition can be found here. This is an optional configuration and can be set up through the Kuscia configuration management system if needed.\n\n\n\n\nports:\nservice: The ServerConfig.service_port\ncommunication: The ServerConfig.communication_port\ninternal: The ServerConfig.metrics_exposer_port\nbrpc-builtin: The ServerConfig.brpc_builtin_service_port\n\n\n \nconfigTemplates:\n\nserving-config.conf:\nserving_id: Service ID identifier, corresponding to the configuration ServingConfig.id. The current content is a placeholder and will actually be replaced by the content in Kuscia API /api/v1/serving/create at startup.\ninput_config: SecretFlow-Serving startup configuration, details can be seen in the description below. The current content is a placeholder and will actually be replaced by the content in Kuscia API /api/v1/serving/create at startup.\ncluster_def: See AppImage explanation.\nallocated_ports: See AppImage explanation.\noss_meta: OSS/S3 model source configuration, only effective when using OSS/S3 as the model data source. The actual content is in the form of a string-formatted JSON configuration, for example” {\\\"access_key\\\":\\\"test_ak\\\", \\\"secret_key\\\":\\\"test_sk\\\", \\\"virtual_hosted\\\":true, \\\"endpoint\\\":\\\"test_endpoint\\\", \\\"bucket\\\":\\\"test_bucket\\\"}, the definition can be found here. This is an optional configuration and can be set up through the Kuscia configuration management system if needed.\nspi_tls_config: The TLS configuration used by SPI. The actual content is in the form of a string-formatted JSON configuration, for example: {\\\"certificate_path\\\":\\\"abc\\\", \\\"private_key_path\\\":\\\"def\\\",\\\"ca_file_path\\\":\\\"gkh\\\"}, the definition can be found here. This is an optional configuration and can be set up through the Kuscia configuration management system if needed.\nhttp_source_meta: HTTP model source configuration, only effective when using HTTP as the model data source. The actual content is in the form of a string-formatted JSON configuration, for example” {\\\"connectTimeoutMs\\\":60000,\\\"timeoutMs\\\":120000,\\\"tlsConfig\\\":{\\\"certificatePath\\\":\\\"abc\\\", \\\"privateKeyPath\\\":\\\"def\\\",\\\"caFilePath\\\":\\\"gkh\\\"}}, the definition can be found here. This is an optional configuration and can be set up through the Kuscia configuration management system if needed.\n\n\n\nlogging-config.conf: SecretFlow-Serving Log Configuration. The actual content is in the form of a string-formatted JSON configuration, for example” {\\\"systemLogPath\\\":\\\"/tmp/alice/serving.log\\\",\\\"logLevel\\\":\\\"INFO_LOG_LEVEL\\\",\\\"maxLogFileSize\\\":4194304,\\\"maxLogFileCount\\\":10}, the definition can be found here. This is an optional configuration and can be set up through the Kuscia configuration management system if needed.\n\n\ntrace-config.conf: SecretFlow-Serving Trace Configuration. The actual content is in the form of a string-formatted JSON configuration, for example” {\\\"traceLogEnable\\\":true,\\\"traceLogConf\\\":{\\\"traceLogPath\\\":\\\"/tmp/trace.log\\\"}}, the definition can be found here. This is an optional configuration and can be set up through the Kuscia configuration management system if needed.\n\n\n configTemplates:\n\nserving-config.conf:\nserving_id: Service ID identifier, corresponding to the configuration ServingConfig.id. The current content is a placeholder and will actually be replaced by the content in Kuscia API /api/v1/serving/create at startup.\ninput_config: SecretFlow-Serving startup configuration, details can be seen in the description below. The current content is a placeholder and will actually be replaced by the content in Kuscia API /api/v1/serving/create at startup.\ncluster_def: See AppImage explanation.\nallocated_ports: See AppImage explanation.\noss_meta: OSS/S3 model source configuration, only effective when using OSS/S3 as the model data source. The actual content is in the form of a string-formatted JSON configuration, for example” {\\\"access_key\\\":\\\"test_ak\\\", \\\"secret_key\\\":\\\"test_sk\\\", \\\"virtual_hosted\\\":true, \\\"endpoint\\\":\\\"test_endpoint\\\", \\\"bucket\\\":\\\"test_bucket\\\"}, the definition can be found here. This is an optional configuration and can be set up through the Kuscia configuration management system if needed.\nspi_tls_config: The TLS configuration used by SPI. The actual content is in the form of a string-formatted JSON configuration, for example: {\\\"certificate_path\\\":\\\"abc\\\", \\\"private_key_path\\\":\\\"def\\\",\\\"ca_file_path\\\":\\\"gkh\\\"}, the definition can be found here. This is an optional configuration and can be set up through the Kuscia configuration management system if needed.\nhttp_source_meta: HTTP model source configuration, only effective when using HTTP as the model data source. The actual content is in the form of a string-formatted JSON configuration, for example” {\\\"connectTimeoutMs\\\":60000,\\\"timeoutMs\\\":120000,\\\"tlsConfig\\\":{\\\"certificatePath\\\":\\\"abc\\\", \\\"privateKeyPath\\\":\\\"def\\\",\\\"caFilePath\\\":\\\"gkh\\\"}}, the definition can be found here. This is an optional configuration and can be set up through the Kuscia configuration management system if needed.\n\n\n\nlogging-config.conf: SecretFlow-Serving Log Configuration. The actual content is in the form of a string-formatted JSON configuration, for example” {\\\"systemLogPath\\\":\\\"/tmp/alice/serving.log\\\",\\\"logLevel\\\":\\\"INFO_LOG_LEVEL\\\",\\\"maxLogFileSize\\\":4194304,\\\"maxLogFileCount\\\":10}, the definition can be found here. This is an optional configuration and can be set up through the Kuscia configuration management system if needed.\n\n\ntrace-config.conf: SecretFlow-Serving Trace Configuration. The actual content is in the form of a string-formatted JSON configuration, for example” {\\\"traceLogEnable\\\":true,\\\"traceLogConf\\\":{\\\"traceLogPath\\\":\\\"/tmp/trace.log\\\"}}, the definition can be found here. This is an optional configuration and can be set up through the Kuscia configuration management system if needed.\n\n configTemplates:\n\nserving-config.conf:\nserving_id: Service ID identifier, corresponding to the configuration ServingConfig.id. The current content is a placeholder and will actually be replaced by the content in Kuscia API /api/v1/serving/create at startup.\ninput_config: SecretFlow-Serving startup configuration, details can be seen in the description below. The current content is a placeholder and will actually be replaced by the content in Kuscia API /api/v1/serving/create at startup.\ncluster_def: See AppImage explanation.\nallocated_ports: See AppImage explanation.\noss_meta: OSS/S3 model source configuration, only effective when using OSS/S3 as the model data source. The actual content is in the form of a string-formatted JSON configuration, for example” {\\\"access_key\\\":\\\"test_ak\\\", \\\"secret_key\\\":\\\"test_sk\\\", \\\"virtual_hosted\\\":true, \\\"endpoint\\\":\\\"test_endpoint\\\", \\\"bucket\\\":\\\"test_bucket\\\"}, the definition can be found here. This is an optional configuration and can be set up through the Kuscia configuration management system if needed.\nspi_tls_config: The TLS configuration used by SPI. The actual content is in the form of a string-formatted JSON configuration, for example: {\\\"certificate_path\\\":\\\"abc\\\", \\\"private_key_path\\\":\\\"def\\\",\\\"ca_file_path\\\":\\\"gkh\\\"}, the definition can be found here. This is an optional configuration and can be set up through the Kuscia configuration management system if needed.\nhttp_source_meta: HTTP model source configuration, only effective when using HTTP as the model data source. The actual content is in the form of a string-formatted JSON configuration, for example” {\\\"connectTimeoutMs\\\":60000,\\\"timeoutMs\\\":120000,\\\"tlsConfig\\\":{\\\"certificatePath\\\":\\\"abc\\\", \\\"privateKeyPath\\\":\\\"def\\\",\\\"caFilePath\\\":\\\"gkh\\\"}}, the definition can be found here. This is an optional configuration and can be set up through the Kuscia configuration management system if needed.\n\n\n\nlogging-config.conf: SecretFlow-Serving Log Configuration. The actual content is in the form of a string-formatted JSON configuration, for example” {\\\"systemLogPath\\\":\\\"/tmp/alice/serving.log\\\",\\\"logLevel\\\":\\\"INFO_LOG_LEVEL\\\",\\\"maxLogFileSize\\\":4194304,\\\"maxLogFileCount\\\":10}, the definition can be found here. This is an optional configuration and can be set up through the Kuscia configuration management system if needed.\n\n\ntrace-config.conf: SecretFlow-Serving Trace Configuration. The actual content is in the form of a string-formatted JSON configuration, for example” {\\\"traceLogEnable\\\":true,\\\"traceLogConf\\\":{\\\"traceLogPath\\\":\\\"/tmp/trace.log\\\"}}, the definition can be found here. This is an optional configuration and can be set up through the Kuscia configuration management system if needed.\n\n configTemplates: configTemplates: configTemplates: configTemplates \n\nserving-config.conf:\nserving_id: Service ID identifier, corresponding to the configuration ServingConfig.id. The current content is a placeholder and will actually be replaced by the content in Kuscia API /api/v1/serving/create at startup.\ninput_config: SecretFlow-Serving startup configuration, details can be seen in the description below. The current content is a placeholder and will actually be replaced by the content in Kuscia API /api/v1/serving/create at startup.\ncluster_def: See AppImage explanation.\nallocated_ports: See AppImage explanation.\noss_meta: OSS/S3 model source configuration, only effective when using OSS/S3 as the model data source. The actual content is in the form of a string-formatted JSON configuration, for example” {\\\"access_key\\\":\\\"test_ak\\\", \\\"secret_key\\\":\\\"test_sk\\\", \\\"virtual_hosted\\\":true, \\\"endpoint\\\":\\\"test_endpoint\\\", \\\"bucket\\\":\\\"test_bucket\\\"}, the definition can be found here. This is an optional configuration and can be set up through the Kuscia configuration management system if needed.\nspi_tls_config: The TLS configuration used by SPI. The actual content is in the form of a string-formatted JSON configuration, for example: {\\\"certificate_path\\\":\\\"abc\\\", \\\"private_key_path\\\":\\\"def\\\",\\\"ca_file_path\\\":\\\"gkh\\\"}, the definition can be found here. This is an optional configuration and can be set up through the Kuscia configuration management system if needed.\nhttp_source_meta: HTTP model source configuration, only effective when using HTTP as the model data source. The actual content is in the form of a string-formatted JSON configuration, for example” {\\\"connectTimeoutMs\\\":60000,\\\"timeoutMs\\\":120000,\\\"tlsConfig\\\":{\\\"certificatePath\\\":\\\"abc\\\", \\\"privateKeyPath\\\":\\\"def\\\",\\\"caFilePath\\\":\\\"gkh\\\"}}, the definition can be found here. This is an optional configuration and can be set up through the Kuscia configuration management system if needed.\n\n\n\nlogging-config.conf: SecretFlow-Serving Log Configuration. The actual content is in the form of a string-formatted JSON configuration, for example” {\\\"systemLogPath\\\":\\\"/tmp/alice/serving.log\\\",\\\"logLevel\\\":\\\"INFO_LOG_LEVEL\\\",\\\"maxLogFileSize\\\":4194304,\\\"maxLogFileCount\\\":10}, the definition can be found here. This is an optional configuration and can be set up through the Kuscia configuration management system if needed.\n\n\ntrace-config.conf: SecretFlow-Serving Trace Configuration. The actual content is in the form of a string-formatted JSON configuration, for example” {\\\"traceLogEnable\\\":true,\\\"traceLogConf\\\":{\\\"traceLogPath\\\":\\\"/tmp/trace.log\\\"}}, the definition can be found here. This is an optional configuration and can be set up through the Kuscia configuration management system if needed.\n\n \n\nserving-config.conf:\nserving_id: Service ID identifier, corresponding to the configuration ServingConfig.id. The current content is a placeholder and will actually be replaced by the content in Kuscia API /api/v1/serving/create at startup.\ninput_config: SecretFlow-Serving startup configuration, details can be seen in the description below. The current content is a placeholder and will actually be replaced by the content in Kuscia API /api/v1/serving/create at startup.\ncluster_def: See AppImage explanation.\nallocated_ports: See AppImage explanation.\noss_meta: OSS/S3 model source configuration, only effective when using OSS/S3 as the model data source. The actual content is in the form of a string-formatted JSON configuration, for example” {\\\"access_key\\\":\\\"test_ak\\\", \\\"secret_key\\\":\\\"test_sk\\\", \\\"virtual_hosted\\\":true, \\\"endpoint\\\":\\\"test_endpoint\\\", \\\"bucket\\\":\\\"test_bucket\\\"}, the definition can be found here. This is an optional configuration and can be set up through the Kuscia configuration management system if needed.\nspi_tls_config: The TLS configuration used by SPI. The actual content is in the form of a string-formatted JSON configuration, for example: {\\\"certificate_path\\\":\\\"abc\\\", \\\"private_key_path\\\":\\\"def\\\",\\\"ca_file_path\\\":\\\"gkh\\\"}, the definition can be found here. This is an optional configuration and can be set up through the Kuscia configuration management system if needed.\nhttp_source_meta: HTTP model source configuration, only effective when using HTTP as the model data source. The actual content is in the form of a string-formatted JSON configuration, for example” {\\\"connectTimeoutMs\\\":60000,\\\"timeoutMs\\\":120000,\\\"tlsConfig\\\":{\\\"certificatePath\\\":\\\"abc\\\", \\\"privateKeyPath\\\":\\\"def\\\",\\\"caFilePath\\\":\\\"gkh\\\"}}, the definition can be found here. This is an optional configuration and can be set up through the Kuscia configuration management system if needed.\n\n\n\nlogging-config.conf: SecretFlow-Serving Log Configuration. The actual content is in the form of a string-formatted JSON configuration, for example” {\\\"systemLogPath\\\":\\\"/tmp/alice/serving.log\\\",\\\"logLevel\\\":\\\"INFO_LOG_LEVEL\\\",\\\"maxLogFileSize\\\":4194304,\\\"maxLogFileCount\\\":10}, the definition can be found here. This is an optional configuration and can be set up through the Kuscia configuration management system if needed.\n\n\ntrace-config.conf: SecretFlow-Serving Trace Configuration. The actual content is in the form of a string-formatted JSON configuration, for example” {\\\"traceLogEnable\\\":true,\\\"traceLogConf\\\":{\\\"traceLogPath\\\":\\\"/tmp/trace.log\\\"}}, the definition can be found here. This is an optional configuration and can be set up through the Kuscia configuration management system if needed.\n\n \nserving-config.conf:\nserving_id: Service ID identifier, corresponding to the configuration ServingConfig.id. The current content is a placeholder and will actually be replaced by the content in Kuscia API /api/v1/serving/create at startup.\ninput_config: SecretFlow-Serving startup configuration, details can be seen in the description below. The current content is a placeholder and will actually be replaced by the content in Kuscia API /api/v1/serving/create at startup.\ncluster_def: See AppImage explanation.\nallocated_ports: See AppImage explanation.\noss_meta: OSS/S3 model source configuration, only effective when using OSS/S3 as the model data source. The actual content is in the form of a string-formatted JSON configuration, for example” {\\\"access_key\\\":\\\"test_ak\\\", \\\"secret_key\\\":\\\"test_sk\\\", \\\"virtual_hosted\\\":true, \\\"endpoint\\\":\\\"test_endpoint\\\", \\\"bucket\\\":\\\"test_bucket\\\"}, the definition can be found here. This is an optional configuration and can be set up through the Kuscia configuration management system if needed.\nspi_tls_config: The TLS configuration used by SPI. The actual content is in the form of a string-formatted JSON configuration, for example: {\\\"certificate_path\\\":\\\"abc\\\", \\\"private_key_path\\\":\\\"def\\\",\\\"ca_file_path\\\":\\\"gkh\\\"}, the definition can be found here. This is an optional configuration and can be set up through the Kuscia configuration management system if needed.\nhttp_source_meta: HTTP model source configuration, only effective when using HTTP as the model data source. The actual content is in the form of a string-formatted JSON configuration, for example” {\\\"connectTimeoutMs\\\":60000,\\\"timeoutMs\\\":120000,\\\"tlsConfig\\\":{\\\"certificatePath\\\":\\\"abc\\\", \\\"privateKeyPath\\\":\\\"def\\\",\\\"caFilePath\\\":\\\"gkh\\\"}}, the definition can be found here. This is an optional configuration and can be set up through the Kuscia configuration management system if needed.\n\n serving-config.conf:\nserving_id: Service ID identifier, corresponding to the configuration ServingConfig.id. The current content is a placeholder and will actually be replaced by the content in Kuscia API /api/v1/serving/create at startup.\ninput_config: SecretFlow-Serving startup configuration, details can be seen in the description below. The current content is a placeholder and will actually be replaced by the content in Kuscia API /api/v1/serving/create at startup.\ncluster_def: See AppImage explanation.\nallocated_ports: See AppImage explanation.\noss_meta: OSS/S3 model source configuration, only effective when using OSS/S3 as the model data source. The actual content is in the form of a string-formatted JSON configuration, for example” {\\\"access_key\\\":\\\"test_ak\\\", \\\"secret_key\\\":\\\"test_sk\\\", \\\"virtual_hosted\\\":true, \\\"endpoint\\\":\\\"test_endpoint\\\", \\\"bucket\\\":\\\"test_bucket\\\"}, the definition can be found here. This is an optional configuration and can be set up through the Kuscia configuration management system if needed.\nspi_tls_config: The TLS configuration used by SPI. The actual content is in the form of a string-formatted JSON configuration, for example: {\\\"certificate_path\\\":\\\"abc\\\", \\\"private_key_path\\\":\\\"def\\\",\\\"ca_file_path\\\":\\\"gkh\\\"}, the definition can be found here. This is an optional configuration and can be set up through the Kuscia configuration management system if needed.\nhttp_source_meta: HTTP model source configuration, only effective when using HTTP as the model data source. The actual content is in the form of a string-formatted JSON configuration, for example” {\\\"connectTimeoutMs\\\":60000,\\\"timeoutMs\\\":120000,\\\"tlsConfig\\\":{\\\"certificatePath\\\":\\\"abc\\\", \\\"privateKeyPath\\\":\\\"def\\\",\\\"caFilePath\\\":\\\"gkh\\\"}}, the definition can be found here. This is an optional configuration and can be set up through the Kuscia configuration management system if needed.\n serving-config.conf:\nserving_id: Service ID identifier, corresponding to the configuration ServingConfig.id. The current content is a placeholder and will actually be replaced by the content in Kuscia API /api/v1/serving/create at startup.\ninput_config: SecretFlow-Serving startup configuration, details can be seen in the description below. The current content is a placeholder and will actually be replaced by the content in Kuscia API /api/v1/serving/create at startup.\ncluster_def: See AppImage explanation.\nallocated_ports: See AppImage explanation.\noss_meta: OSS/S3 model source configuration, only effective when using OSS/S3 as the model data source. The actual content is in the form of a string-formatted JSON configuration, for example” {\\\"access_key\\\":\\\"test_ak\\\", \\\"secret_key\\\":\\\"test_sk\\\", \\\"virtual_hosted\\\":true, \\\"endpoint\\\":\\\"test_endpoint\\\", \\\"bucket\\\":\\\"test_bucket\\\"}, the definition can be found here. This is an optional configuration and can be set up through the Kuscia configuration management system if needed.\nspi_tls_config: The TLS configuration used by SPI. The actual content is in the form of a string-formatted JSON configuration, for example: {\\\"certificate_path\\\":\\\"abc\\\", \\\"private_key_path\\\":\\\"def\\\",\\\"ca_file_path\\\":\\\"gkh\\\"}, the definition can be found here. This is an optional configuration and can be set up through the Kuscia configuration management system if needed.\nhttp_source_meta: HTTP model source configuration, only effective when using HTTP as the model data source. The actual content is in the form of a string-formatted JSON configuration, for example” {\\\"connectTimeoutMs\\\":60000,\\\"timeoutMs\\\":120000,\\\"tlsConfig\\\":{\\\"certificatePath\\\":\\\"abc\\\", \\\"privateKeyPath\\\":\\\"def\\\",\\\"caFilePath\\\":\\\"gkh\\\"}}, the definition can be found here. This is an optional configuration and can be set up through the Kuscia configuration management system if needed.\n serving-config.conf: serving-config.conf: serving-config.conf: serving-config.conf \nserving_id: Service ID identifier, corresponding to the configuration ServingConfig.id. The current content is a placeholder and will actually be replaced by the content in Kuscia API /api/v1/serving/create at startup.\ninput_config: SecretFlow-Serving startup configuration, details can be seen in the description below. The current content is a placeholder and will actually be replaced by the content in Kuscia API /api/v1/serving/create at startup.\ncluster_def: See AppImage explanation.\nallocated_ports: See AppImage explanation.\noss_meta: OSS/S3 model source configuration, only effective when using OSS/S3 as the model data source. The actual content is in the form of a string-formatted JSON configuration, for example” {\\\"access_key\\\":\\\"test_ak\\\", \\\"secret_key\\\":\\\"test_sk\\\", \\\"virtual_hosted\\\":true, \\\"endpoint\\\":\\\"test_endpoint\\\", \\\"bucket\\\":\\\"test_bucket\\\"}, the definition can be found here. This is an optional configuration and can be set up through the Kuscia configuration management system if needed.\nspi_tls_config: The TLS configuration used by SPI. The actual content is in the form of a string-formatted JSON configuration, for example: {\\\"certificate_path\\\":\\\"abc\\\", \\\"private_key_path\\\":\\\"def\\\",\\\"ca_file_path\\\":\\\"gkh\\\"}, the definition can be found here. This is an optional configuration and can be set up through the Kuscia configuration management system if needed.\nhttp_source_meta: HTTP model source configuration, only effective when using HTTP as the model data source. The actual content is in the form of a string-formatted JSON configuration, for example” {\\\"connectTimeoutMs\\\":60000,\\\"timeoutMs\\\":120000,\\\"tlsConfig\\\":{\\\"certificatePath\\\":\\\"abc\\\", \\\"privateKeyPath\\\":\\\"def\\\",\\\"caFilePath\\\":\\\"gkh\\\"}}, the definition can be found here. This is an optional configuration and can be set up through the Kuscia configuration management system if needed.\n \nserving_id: Service ID identifier, corresponding to the configuration ServingConfig.id. The current content is a placeholder and will actually be replaced by the content in Kuscia API /api/v1/serving/create at startup.\ninput_config: SecretFlow-Serving startup configuration, details can be seen in the description below. The current content is a placeholder and will actually be replaced by the content in Kuscia API /api/v1/serving/create at startup.\ncluster_def: See AppImage explanation.\nallocated_ports: See AppImage explanation.\noss_meta: OSS/S3 model source configuration, only effective when using OSS/S3 as the model data source. The actual content is in the form of a string-formatted JSON configuration, for example” {\\\"access_key\\\":\\\"test_ak\\\", \\\"secret_key\\\":\\\"test_sk\\\", \\\"virtual_hosted\\\":true, \\\"endpoint\\\":\\\"test_endpoint\\\", \\\"bucket\\\":\\\"test_bucket\\\"}, the definition can be found here. This is an optional configuration and can be set up through the Kuscia configuration management system if needed.\nspi_tls_config: The TLS configuration used by SPI. The actual content is in the form of a string-formatted JSON configuration, for example: {\\\"certificate_path\\\":\\\"abc\\\", \\\"private_key_path\\\":\\\"def\\\",\\\"ca_file_path\\\":\\\"gkh\\\"}, the definition can be found here. This is an optional configuration and can be set up through the Kuscia configuration management system if needed.\nhttp_source_meta: HTTP model source configuration, only effective when using HTTP as the model data source. The actual content is in the form of a string-formatted JSON configuration, for example” {\\\"connectTimeoutMs\\\":60000,\\\"timeoutMs\\\":120000,\\\"tlsConfig\\\":{\\\"certificatePath\\\":\\\"abc\\\", \\\"privateKeyPath\\\":\\\"def\\\",\\\"caFilePath\\\":\\\"gkh\\\"}}, the definition can be found here. This is an optional configuration and can be set up through the Kuscia configuration management system if needed.\n serving_id: Service ID identifier, corresponding to the configuration ServingConfig.id. The current content is a placeholder and will actually be replaced by the content in Kuscia API /api/v1/serving/create at startup. serving_id ServingConfig.id ServingConfig.id Kuscia API /api/v1/serving/create input_config: SecretFlow-Serving startup configuration, details can be seen in the description below. The current content is a placeholder and will actually be replaced by the content in Kuscia API /api/v1/serving/create at startup. input_config Kuscia API /api/v1/serving/create cluster_def: See AppImage explanation. cluster_def AppImage explanation allocated_ports: See AppImage explanation. allocated_ports AppImage explanation oss_meta: OSS/S3 model source configuration, only effective when using OSS/S3 as the model data source. The actual content is in the form of a string-formatted JSON configuration, for example” {\\\"access_key\\\":\\\"test_ak\\\", \\\"secret_key\\\":\\\"test_sk\\\", \\\"virtual_hosted\\\":true, \\\"endpoint\\\":\\\"test_endpoint\\\", \\\"bucket\\\":\\\"test_bucket\\\"}, the definition can be found here. This is an optional configuration and can be set up through the Kuscia configuration management system if needed. oss_meta {\\\"access_key\\\":\\\"test_ak\\\", \\\"secret_key\\\":\\\"test_sk\\\", \\\"virtual_hosted\\\":true, \\\"endpoint\\\":\\\"test_endpoint\\\", \\\"bucket\\\":\\\"test_bucket\\\"} here here Kuscia configuration management spi_tls_config: The TLS configuration used by SPI. The actual content is in the form of a string-formatted JSON configuration, for example: {\\\"certificate_path\\\":\\\"abc\\\", \\\"private_key_path\\\":\\\"def\\\",\\\"ca_file_path\\\":\\\"gkh\\\"}, the definition can be found here. This is an optional configuration and can be set up through the Kuscia configuration management system if needed. spi_tls_config {\\\"certificate_path\\\":\\\"abc\\\", \\\"private_key_path\\\":\\\"def\\\",\\\"ca_file_path\\\":\\\"gkh\\\"} here here Kuscia configuration management http_source_meta: HTTP model source configuration, only effective when using HTTP as the model data source. The actual content is in the form of a string-formatted JSON configuration, for example” {\\\"connectTimeoutMs\\\":60000,\\\"timeoutMs\\\":120000,\\\"tlsConfig\\\":{\\\"certificatePath\\\":\\\"abc\\\", \\\"privateKeyPath\\\":\\\"def\\\",\\\"caFilePath\\\":\\\"gkh\\\"}}, the definition can be found here. This is an optional configuration and can be set up through the Kuscia configuration management system if needed. http_source_meta {\\\"connectTimeoutMs\\\":60000,\\\"timeoutMs\\\":120000,\\\"tlsConfig\\\":{\\\"certificatePath\\\":\\\"abc\\\", \\\"privateKeyPath\\\":\\\"def\\\",\\\"caFilePath\\\":\\\"gkh\\\"}} here here Kuscia configuration management \nlogging-config.conf: SecretFlow-Serving Log Configuration. The actual content is in the form of a string-formatted JSON configuration, for example” {\\\"systemLogPath\\\":\\\"/tmp/alice/serving.log\\\",\\\"logLevel\\\":\\\"INFO_LOG_LEVEL\\\",\\\"maxLogFileSize\\\":4194304,\\\"maxLogFileCount\\\":10}, the definition can be found here. This is an optional configuration and can be set up through the Kuscia configuration management system if needed.\n logging-config.conf: SecretFlow-Serving Log Configuration. The actual content is in the form of a string-formatted JSON configuration, for example” {\\\"systemLogPath\\\":\\\"/tmp/alice/serving.log\\\",\\\"logLevel\\\":\\\"INFO_LOG_LEVEL\\\",\\\"maxLogFileSize\\\":4194304,\\\"maxLogFileCount\\\":10}, the definition can be found here. This is an optional configuration and can be set up through the Kuscia configuration management system if needed. logging-config.conf {\\\"systemLogPath\\\":\\\"/tmp/alice/serving.log\\\",\\\"logLevel\\\":\\\"INFO_LOG_LEVEL\\\",\\\"maxLogFileSize\\\":4194304,\\\"maxLogFileCount\\\":10} here here Kuscia configuration management \ntrace-config.conf: SecretFlow-Serving Trace Configuration. The actual content is in the form of a string-formatted JSON configuration, for example” {\\\"traceLogEnable\\\":true,\\\"traceLogConf\\\":{\\\"traceLogPath\\\":\\\"/tmp/trace.log\\\"}}, the definition can be found here. This is an optional configuration and can be set up through the Kuscia configuration management system if needed.\n trace-config.conf: SecretFlow-Serving Trace Configuration. The actual content is in the form of a string-formatted JSON configuration, for example” {\\\"traceLogEnable\\\":true,\\\"traceLogConf\\\":{\\\"traceLogPath\\\":\\\"/tmp/trace.log\\\"}}, the definition can be found here. This is an optional configuration and can be set up through the Kuscia configuration management system if needed. trace-config.conf {\\\"traceLogEnable\\\":true,\\\"traceLogConf\\\":{\\\"traceLogPath\\\":\\\"/tmp/trace.log\\\"}} here here Kuscia configuration management \nports:\nservice: The ServerConfig.service_port\ncommunication: The ServerConfig.communication_port\ninternal: The ServerConfig.metrics_exposer_port\nbrpc-builtin: The ServerConfig.brpc_builtin_service_port\n\n ports:\nservice: The ServerConfig.service_port\ncommunication: The ServerConfig.communication_port\ninternal: The ServerConfig.metrics_exposer_port\nbrpc-builtin: The ServerConfig.brpc_builtin_service_port\n ports:\nservice: The ServerConfig.service_port\ncommunication: The ServerConfig.communication_port\ninternal: The ServerConfig.metrics_exposer_port\nbrpc-builtin: The ServerConfig.brpc_builtin_service_port\n ports: ports: ports: ports \nservice: The ServerConfig.service_port\ncommunication: The ServerConfig.communication_port\ninternal: The ServerConfig.metrics_exposer_port\nbrpc-builtin: The ServerConfig.brpc_builtin_service_port\n \nservice: The ServerConfig.service_port\ncommunication: The ServerConfig.communication_port\ninternal: The ServerConfig.metrics_exposer_port\nbrpc-builtin: The ServerConfig.brpc_builtin_service_port\n service: The ServerConfig.service_port service ServerConfig.service_port ServerConfig.service_port communication: The ServerConfig.communication_port communication ServerConfig.communication_port ServerConfig.communication_port internal: The ServerConfig.metrics_exposer_port internal ServerConfig.metrics_exposer_port ServerConfig.metrics_exposer_port brpc-builtin: The ServerConfig.brpc_builtin_service_port brpc-builtin ServerConfig.brpc_builtin_service_port ServerConfig.brpc_builtin_service_port "},"282":{"url":"/serving/main/en/topics/deployment/serving_on_kuscia#configuration-description","type":"fragment","title":"SecretFlow-Serving on Kuscia - Configuration description","content":""},"283":{"url":"/serving/main/en/topics/deployment/serving_on_kuscia#serving-input-config","type":"fragment","title":"SecretFlow-Serving on Kuscia - serving_input_config","content":"The launch and management of SecretFlow-Serving can be performed using the Kuscia Serving API. In this section, we will explain the contents of the serving_input_config field within the /api/v1/serving/create request. Kuscia Serving API serving_input_config /api/v1/serving/create  Field description: Field description NameTypeDescriptionRequiredpartyConfigsmap<str, PartyConfig>Dictionary of startup parameters for each participant. Key: Participant Unique ID; Value: PartyConfig (Json Object).YesPartyConfig.serverConfigstrServerConfigYesPartyConfig.serverConfig.featureMappingmap<str, str>Feature name mapping rules. Key: source or predefined feature name; Value: model feature nameNoPartyConfig.modelConfigObjectModelConfigYesPartyConfig.modelConfig.modelIdstrUnique id of the model packageYesPartyConfig.modelConfig.basePathstrThe local path used to cache and load model packageYesPartyConfig.modelConfig.sourcePathstrThe path to the model package in the data source, where the content format may vary depending on the sourceType.YesPartyConfig.modelConfig.sourceSha256strThe expected SHA256 hash of the model package. When provided, the fetched model package will be verified against it.NoPartyConfig.modelConfig.sourceTypestrModel data source type, options include:\nST_FILE: In this case, the sourcePath should be a file path accessible to Serving.\nST_DP: In this case, the sourcePath should be DomainData ID in DataMesh from Kuscia. and dpSourceMeta needs to be configured.\nST_OSS: In this case, the sourcePath should be the file path within the bucket. ST_HTTP: In this case, the sourcePath should be the download URL for the model package.YesPartyConfig.modelConfig.dpSourceMetaObjectDPSourceMetaNo(If sourceType  is DT_DP, dpSourceMeta needs to be configured)PartyConfig.modelConfig.dpSourceMeta.dmHoststrThe address of DataMesh in Kuscia. Default: datameshNoPartyConfig.featureSourceConfigObjectFeatureSourceConfigYesPartyConfig.featureSourceConfig.mockOptsObjectMockOptionsNo(One of csvOpts, mockOpts, or httpOpts needs to be configured)PartyConfig.featureSourceConfig.mockOpts.typestrThe method for generating mock feature values, options: “MDT_RANDOM” for random values, and “MDT_FIXED” for fixed values. Default: “MDT_FIXED”.NoPartyConfig.featureSourceConfig.httpOptsObjectHttpOptionsNo(One of csvOpts, mockOpts, or httpOpts needs to be configured)PartyConfig.featureSourceConfig.httpOpts.endpointstrFeature service addressYesPartyConfig.featureSourceConfig.httpOpts.enableLbboolWhether to enable round robin load balancer, Default: FalseNoPartyConfig.featureSourceConfig.httpOpts.connectTimeoutMsint32Max duration for a connect. -1 means wait indefinitely. Default: 500 (ms)NoPartyConfig.featureSourceConfig.httpOpts.timeoutMsint32Max duration of http request. -1 means wait indefinitely. Default: 1000 (ms)NoPartyConfig.featureSourceConfig.csvOptsObjectCsvOptionsNo(One of csvOpts, mockOpts, or httpOpts needs to be configured)PartyConfig.featureSourceConfig.csvOpts.filePathObjectInput file path, specifies where to load data. Note that this will load all of the data into memory at onceYesPartyConfig.featureSourceConfig.csvOpts.idNameObjectId column name, associated with FeatureParam::query_datas. query_datas is a subset of id columnYesPartyConfig.channelDescObjectChannelDescYesPartyConfig.channelDesc.protocolstrCommunication protocol, for optional value, see hereYesPartyConfig.channelDesc.rpcTimeoutMsint32Max duration of RPC. -1 means wait indefinitely. Default: 2000 (ms)NoPartyConfig.channelDesc.connectTimeoutMsint32Max duration for a connect. -1 means wait indefinitely. Default: 500 (ms)NopredictorPartiesList<str>Indicate which parties can initiate the prediction. Default: AllNo NameTypeDescriptionRequired NameTypeDescriptionRequired Name Name Type Type Description Description Required Required partyConfigsmap<str, PartyConfig>Dictionary of startup parameters for each participant. Key: Participant Unique ID; Value: PartyConfig (Json Object).YesPartyConfig.serverConfigstrServerConfigYesPartyConfig.serverConfig.featureMappingmap<str, str>Feature name mapping rules. Key: source or predefined feature name; Value: model feature nameNoPartyConfig.modelConfigObjectModelConfigYesPartyConfig.modelConfig.modelIdstrUnique id of the model packageYesPartyConfig.modelConfig.basePathstrThe local path used to cache and load model packageYesPartyConfig.modelConfig.sourcePathstrThe path to the model package in the data source, where the content format may vary depending on the sourceType.YesPartyConfig.modelConfig.sourceSha256strThe expected SHA256 hash of the model package. When provided, the fetched model package will be verified against it.NoPartyConfig.modelConfig.sourceTypestrModel data source type, options include:\nST_FILE: In this case, the sourcePath should be a file path accessible to Serving.\nST_DP: In this case, the sourcePath should be DomainData ID in DataMesh from Kuscia. and dpSourceMeta needs to be configured.\nST_OSS: In this case, the sourcePath should be the file path within the bucket. ST_HTTP: In this case, the sourcePath should be the download URL for the model package.YesPartyConfig.modelConfig.dpSourceMetaObjectDPSourceMetaNo(If sourceType  is DT_DP, dpSourceMeta needs to be configured)PartyConfig.modelConfig.dpSourceMeta.dmHoststrThe address of DataMesh in Kuscia. Default: datameshNoPartyConfig.featureSourceConfigObjectFeatureSourceConfigYesPartyConfig.featureSourceConfig.mockOptsObjectMockOptionsNo(One of csvOpts, mockOpts, or httpOpts needs to be configured)PartyConfig.featureSourceConfig.mockOpts.typestrThe method for generating mock feature values, options: “MDT_RANDOM” for random values, and “MDT_FIXED” for fixed values. Default: “MDT_FIXED”.NoPartyConfig.featureSourceConfig.httpOptsObjectHttpOptionsNo(One of csvOpts, mockOpts, or httpOpts needs to be configured)PartyConfig.featureSourceConfig.httpOpts.endpointstrFeature service addressYesPartyConfig.featureSourceConfig.httpOpts.enableLbboolWhether to enable round robin load balancer, Default: FalseNoPartyConfig.featureSourceConfig.httpOpts.connectTimeoutMsint32Max duration for a connect. -1 means wait indefinitely. Default: 500 (ms)NoPartyConfig.featureSourceConfig.httpOpts.timeoutMsint32Max duration of http request. -1 means wait indefinitely. Default: 1000 (ms)NoPartyConfig.featureSourceConfig.csvOptsObjectCsvOptionsNo(One of csvOpts, mockOpts, or httpOpts needs to be configured)PartyConfig.featureSourceConfig.csvOpts.filePathObjectInput file path, specifies where to load data. Note that this will load all of the data into memory at onceYesPartyConfig.featureSourceConfig.csvOpts.idNameObjectId column name, associated with FeatureParam::query_datas. query_datas is a subset of id columnYesPartyConfig.channelDescObjectChannelDescYesPartyConfig.channelDesc.protocolstrCommunication protocol, for optional value, see hereYesPartyConfig.channelDesc.rpcTimeoutMsint32Max duration of RPC. -1 means wait indefinitely. Default: 2000 (ms)NoPartyConfig.channelDesc.connectTimeoutMsint32Max duration for a connect. -1 means wait indefinitely. Default: 500 (ms)NopredictorPartiesList<str>Indicate which parties can initiate the prediction. Default: AllNo partyConfigsmap<str, PartyConfig>Dictionary of startup parameters for each participant. Key: Participant Unique ID; Value: PartyConfig (Json Object).Yes partyConfigs partyConfigs map<str, PartyConfig> map<str, PartyConfig> Dictionary of startup parameters for each participant. Key: Participant Unique ID; Value: PartyConfig (Json Object). Dictionary of startup parameters for each participant. Key: Participant Unique ID; Value: PartyConfig (Json Object). Yes Yes PartyConfig.serverConfigstrServerConfigYes PartyConfig.serverConfig PartyConfig.serverConfig str str ServerConfig ServerConfig ServerConfig ServerConfig Yes Yes PartyConfig.serverConfig.featureMappingmap<str, str>Feature name mapping rules. Key: source or predefined feature name; Value: model feature nameNo PartyConfig.serverConfig.featureMapping PartyConfig.serverConfig.featureMapping map<str, str> map<str, str> Feature name mapping rules. Key: source or predefined feature name; Value: model feature name Feature name mapping rules. Key: source or predefined feature name; Value: model feature name No No PartyConfig.modelConfigObjectModelConfigYes PartyConfig.modelConfig PartyConfig.modelConfig Object Object ModelConfig ModelConfig ModelConfig ModelConfig Yes Yes PartyConfig.modelConfig.modelIdstrUnique id of the model packageYes PartyConfig.modelConfig.modelId PartyConfig.modelConfig.modelId str str Unique id of the model package Unique id of the model package Yes Yes PartyConfig.modelConfig.basePathstrThe local path used to cache and load model packageYes PartyConfig.modelConfig.basePath PartyConfig.modelConfig.basePath str str The local path used to cache and load model package The local path used to cache and load model package Yes Yes PartyConfig.modelConfig.sourcePathstrThe path to the model package in the data source, where the content format may vary depending on the sourceType.Yes PartyConfig.modelConfig.sourcePath PartyConfig.modelConfig.sourcePath str str The path to the model package in the data source, where the content format may vary depending on the sourceType. The path to the model package in the data source, where the content format may vary depending on the sourceType. sourceType Yes Yes PartyConfig.modelConfig.sourceSha256strThe expected SHA256 hash of the model package. When provided, the fetched model package will be verified against it.No PartyConfig.modelConfig.sourceSha256 PartyConfig.modelConfig.sourceSha256 str str The expected SHA256 hash of the model package. When provided, the fetched model package will be verified against it. The expected SHA256 hash of the model package. When provided, the fetched model package will be verified against it. No No PartyConfig.modelConfig.sourceTypestrModel data source type, options include:\nST_FILE: In this case, the sourcePath should be a file path accessible to Serving.\nST_DP: In this case, the sourcePath should be DomainData ID in DataMesh from Kuscia. and dpSourceMeta needs to be configured.\nST_OSS: In this case, the sourcePath should be the file path within the bucket. ST_HTTP: In this case, the sourcePath should be the download URL for the model package.Yes PartyConfig.modelConfig.sourceType PartyConfig.modelConfig.sourceType str str Model data source type, options include:\nST_FILE: In this case, the sourcePath should be a file path accessible to Serving.\nST_DP: In this case, the sourcePath should be DomainData ID in DataMesh from Kuscia. and dpSourceMeta needs to be configured.\nST_OSS: In this case, the sourcePath should be the file path within the bucket. ST_HTTP: In this case, the sourcePath should be the download URL for the model package. Model data source type, options include:\nST_FILE: In this case, the sourcePath should be a file path accessible to Serving.\nST_DP: In this case, the sourcePath should be DomainData ID in DataMesh from Kuscia. and dpSourceMeta needs to be configured.\nST_OSS: In this case, the sourcePath should be the file path within the bucket. ST_HTTP: In this case, the sourcePath should be the download URL for the model package. ST_FILE sourcePath ST_DP sourcePath ST_OSS sourcePath ST_HTTP sourcePath Yes Yes PartyConfig.modelConfig.dpSourceMetaObjectDPSourceMetaNo(If sourceType  is DT_DP, dpSourceMeta needs to be configured) PartyConfig.modelConfig.dpSourceMeta PartyConfig.modelConfig.dpSourceMeta Object Object DPSourceMeta DPSourceMeta DPSourceMeta DPSourceMeta No(If sourceType  is DT_DP, dpSourceMeta needs to be configured) No(If sourceType  is DT_DP, dpSourceMeta needs to be configured) sourceType DT_DP dpSourceMeta PartyConfig.modelConfig.dpSourceMeta.dmHoststrThe address of DataMesh in Kuscia. Default: datameshNo PartyConfig.modelConfig.dpSourceMeta.dmHost PartyConfig.modelConfig.dpSourceMeta.dmHost str str The address of DataMesh in Kuscia. Default: datamesh The address of DataMesh in Kuscia. Default: datamesh No No PartyConfig.featureSourceConfigObjectFeatureSourceConfigYes PartyConfig.featureSourceConfig PartyConfig.featureSourceConfig Object Object FeatureSourceConfig FeatureSourceConfig FeatureSourceConfig FeatureSourceConfig Yes Yes PartyConfig.featureSourceConfig.mockOptsObjectMockOptionsNo(One of csvOpts, mockOpts, or httpOpts needs to be configured) PartyConfig.featureSourceConfig.mockOpts PartyConfig.featureSourceConfig.mockOpts Object Object MockOptions MockOptions MockOptions MockOptions No(One of csvOpts, mockOpts, or httpOpts needs to be configured) No(One of csvOpts, mockOpts, or httpOpts needs to be configured) csvOpts mockOpts httpOpts PartyConfig.featureSourceConfig.mockOpts.typestrThe method for generating mock feature values, options: “MDT_RANDOM” for random values, and “MDT_FIXED” for fixed values. Default: “MDT_FIXED”.No PartyConfig.featureSourceConfig.mockOpts.type PartyConfig.featureSourceConfig.mockOpts.type str str The method for generating mock feature values, options: “MDT_RANDOM” for random values, and “MDT_FIXED” for fixed values. Default: “MDT_FIXED”. The method for generating mock feature values, options: “MDT_RANDOM” for random values, and “MDT_FIXED” for fixed values. Default: “MDT_FIXED”. No No PartyConfig.featureSourceConfig.httpOptsObjectHttpOptionsNo(One of csvOpts, mockOpts, or httpOpts needs to be configured) PartyConfig.featureSourceConfig.httpOpts PartyConfig.featureSourceConfig.httpOpts Object Object HttpOptions HttpOptions HttpOptions HttpOptions No(One of csvOpts, mockOpts, or httpOpts needs to be configured) No(One of csvOpts, mockOpts, or httpOpts needs to be configured) csvOpts mockOpts httpOpts PartyConfig.featureSourceConfig.httpOpts.endpointstrFeature service addressYes PartyConfig.featureSourceConfig.httpOpts.endpoint PartyConfig.featureSourceConfig.httpOpts.endpoint str str Feature service address Feature service address Yes Yes PartyConfig.featureSourceConfig.httpOpts.enableLbboolWhether to enable round robin load balancer, Default: FalseNo PartyConfig.featureSourceConfig.httpOpts.enableLb PartyConfig.featureSourceConfig.httpOpts.enableLb bool bool Whether to enable round robin load balancer, Default: False Whether to enable round robin load balancer, Default: False No No PartyConfig.featureSourceConfig.httpOpts.connectTimeoutMsint32Max duration for a connect. -1 means wait indefinitely. Default: 500 (ms)No PartyConfig.featureSourceConfig.httpOpts.connectTimeoutMs PartyConfig.featureSourceConfig.httpOpts.connectTimeoutMs int32 int32 Max duration for a connect. -1 means wait indefinitely. Default: 500 (ms) Max duration for a connect. -1 means wait indefinitely. Default: 500 (ms) No No PartyConfig.featureSourceConfig.httpOpts.timeoutMsint32Max duration of http request. -1 means wait indefinitely. Default: 1000 (ms)No PartyConfig.featureSourceConfig.httpOpts.timeoutMs PartyConfig.featureSourceConfig.httpOpts.timeoutMs int32 int32 Max duration of http request. -1 means wait indefinitely. Default: 1000 (ms) Max duration of http request. -1 means wait indefinitely. Default: 1000 (ms) No No PartyConfig.featureSourceConfig.csvOptsObjectCsvOptionsNo(One of csvOpts, mockOpts, or httpOpts needs to be configured) PartyConfig.featureSourceConfig.csvOpts PartyConfig.featureSourceConfig.csvOpts Object Object CsvOptions CsvOptions CsvOptions CsvOptions No(One of csvOpts, mockOpts, or httpOpts needs to be configured) No(One of csvOpts, mockOpts, or httpOpts needs to be configured) csvOpts mockOpts httpOpts PartyConfig.featureSourceConfig.csvOpts.filePathObjectInput file path, specifies where to load data. Note that this will load all of the data into memory at onceYes PartyConfig.featureSourceConfig.csvOpts.filePath PartyConfig.featureSourceConfig.csvOpts.filePath Object Object Input file path, specifies where to load data. Note that this will load all of the data into memory at once Input file path, specifies where to load data. Note that this will load all of the data into memory at once Yes Yes PartyConfig.featureSourceConfig.csvOpts.idNameObjectId column name, associated with FeatureParam::query_datas. query_datas is a subset of id columnYes PartyConfig.featureSourceConfig.csvOpts.idName PartyConfig.featureSourceConfig.csvOpts.idName Object Object Id column name, associated with FeatureParam::query_datas. query_datas is a subset of id column Id column name, associated with FeatureParam::query_datas. query_datas is a subset of id column FeatureParam::query_datas query_datas Yes Yes PartyConfig.channelDescObjectChannelDescYes PartyConfig.channelDesc PartyConfig.channelDesc Object Object ChannelDesc ChannelDesc ChannelDesc ChannelDesc Yes Yes PartyConfig.channelDesc.protocolstrCommunication protocol, for optional value, see hereYes PartyConfig.channelDesc.protocol PartyConfig.channelDesc.protocol str str Communication protocol, for optional value, see here Communication protocol, for optional value, see here here Yes Yes PartyConfig.channelDesc.rpcTimeoutMsint32Max duration of RPC. -1 means wait indefinitely. Default: 2000 (ms)No PartyConfig.channelDesc.rpcTimeoutMs PartyConfig.channelDesc.rpcTimeoutMs int32 int32 Max duration of RPC. -1 means wait indefinitely. Default: 2000 (ms) Max duration of RPC. -1 means wait indefinitely. Default: 2000 (ms) No No PartyConfig.channelDesc.connectTimeoutMsint32Max duration for a connect. -1 means wait indefinitely. Default: 500 (ms)No PartyConfig.channelDesc.connectTimeoutMs PartyConfig.channelDesc.connectTimeoutMs int32 int32 Max duration for a connect. -1 means wait indefinitely. Default: 500 (ms) Max duration for a connect. -1 means wait indefinitely. Default: 500 (ms) No No predictorPartiesList<str>Indicate which parties can initiate the prediction. Default: AllNo predictorParties predictorParties List<str> List<str> Indicate which parties can initiate the prediction. Default: All Indicate which parties can initiate the prediction. Default: All No No "},"284":{"url":"/serving/main/en/topics/deployment/deployment#how-to-deployment-secretflow-serving","type":"fragment","title":"How to deployment SecretFlow-Serving","content":"This document describes how to deploy SecretFlow-Serving with docker, it’s basically same with Quickstart, but deployed in multi-machine. Quickstart Before start this doc, we assume that the reader has some experience using the docker-compose utility. If you are new to Docker Compose, please consider reviewing the official Docker Compose overview, or checking out the Getting Started guide. official Docker Compose overview Getting Started guide "},"285":{"url":"/serving/main/en/topics/deployment/deployment#deployment-diagram","type":"fragment","title":"How to deployment SecretFlow-Serving - Deployment Diagram","content":"The deployment diagram of the SecretFlow-Serving system that we plan to deploy is shown as the following figure, it involves a total of two party, including two parties named Alice and Bob. We use two machines to simulate different parties. Alice Bob   \nThe SecretFlow-Serving in this example provides services through the HTTP protocol. However, for a production environment, it is recommended to use mTLS to secure all communication links and access the service via HTTPS. Please check mTLS Configuration for details.\nSecretFlow-Serving supports configuring different mTLS settings for various communication links. For more detailed information, please refer to the Server Configuration, Cluster Communication Configuration, and SPI Communication Configuration.\n \nThe SecretFlow-Serving in this example provides services through the HTTP protocol. However, for a production environment, it is recommended to use mTLS to secure all communication links and access the service via HTTPS. Please check mTLS Configuration for details.\nSecretFlow-Serving supports configuring different mTLS settings for various communication links. For more detailed information, please refer to the Server Configuration, Cluster Communication Configuration, and SPI Communication Configuration.\n The SecretFlow-Serving in this example provides services through the HTTP protocol. However, for a production environment, it is recommended to use mTLS to secure all communication links and access the service via HTTPS. Please check mTLS Configuration for details. HTTP mTLS HTTPS mTLS Configuration mTLS Configuration SecretFlow-Serving supports configuring different mTLS settings for various communication links. For more detailed information, please refer to the Server Configuration, Cluster Communication Configuration, and SPI Communication Configuration. mTLS Server Configuration Server Configuration Cluster Communication Configuration Cluster Communication Configuration SPI Communication Configuration SPI Communication Configuration "},"286":{"url":"/serving/main/en/topics/deployment/deployment#step-1-deploy-secretflow-serving","type":"fragment","title":"How to deployment SecretFlow-Serving - Step 1: Deploy SecretFlow-Serving","content":"Here we present how to deploy serving in party Alice, it’s same with party Bob. Alice Bob "},"287":{"url":"/serving/main/en/topics/deployment/deployment#create-a-workspace","type":"fragment","title":"How to deployment SecretFlow-Serving - 1.1 Create a Workspace","content":" Here, we use the model file from the “examples” directory as a demonstration and place it in the “serving” directory. Please replace the following path with the actual path according to your situation. Model packages for SecretFlow-Serving can be generated by using the model_export component of SecretFlow. For more details, please refer to model_export. model_export model_export  For Bob should use model file serving/examples/bob/glm-test.tar.gz. For Bob should use model file serving/examples/bob/glm-test.tar.gz. Bob serving/examples/bob/glm-test.tar.gz "},"288":{"url":"/serving/main/en/topics/deployment/deployment#create-serving-config-file","type":"fragment","title":"How to deployment SecretFlow-Serving - 1.2 Create Serving config file","content":" Create a file called serving.config in the conf directory within your workspace and paste the following code in: serving.config conf  See Serving Config for more config information Serving Config \nFor Alice, __ALICE_URL__ can be simply configured to 0.0.0.0:9110, __BOB_URL__ is the url (eg:http://192.168.11.34) where bob’s serving communicationPort is listen on, you need to replace it with bob’s serving url.\nThe above configuration is referenced from alice-serving-config. Please adjust the configuration items according to your actual scenario.\nNote mockOpts is configured here for a mock feature data source, which will provide simulated feature data to support the model prediction process. In actual use, please provide feature data in the form of a feature service by implementing the SecretFlow-Serving Feature Service SPI.\n \nFor Alice, __ALICE_URL__ can be simply configured to 0.0.0.0:9110, __BOB_URL__ is the url (eg:http://192.168.11.34) where bob’s serving communicationPort is listen on, you need to replace it with bob’s serving url.\nThe above configuration is referenced from alice-serving-config. Please adjust the configuration items according to your actual scenario.\nNote mockOpts is configured here for a mock feature data source, which will provide simulated feature data to support the model prediction process. In actual use, please provide feature data in the form of a feature service by implementing the SecretFlow-Serving Feature Service SPI.\n For Alice, __ALICE_URL__ can be simply configured to 0.0.0.0:9110, __BOB_URL__ is the url (eg:http://192.168.11.34) where bob’s serving communicationPort is listen on, you need to replace it with bob’s serving url. __ALICE_URL__ 0.0.0.0:9110 __BOB_URL__ http://192.168.11.34 communicationPort The above configuration is referenced from alice-serving-config. Please adjust the configuration items according to your actual scenario. alice-serving-config Note mockOpts is configured here for a mock feature data source, which will provide simulated feature data to support the model prediction process. In actual use, please provide feature data in the form of a feature service by implementing the SecretFlow-Serving Feature Service SPI. Note mockOpts SecretFlow-Serving Feature Service SPI SecretFlow-Serving Feature Service SPI "},"289":{"url":"/serving/main/en/topics/deployment/deployment#create-logging-config-file","type":"fragment","title":"How to deployment SecretFlow-Serving - 1.3 Create logging config file","content":" Create a file called logging.config in the conf directory within your workspace and paste the following code in: logging.config conf  See Logging Config for more logging config information. Logging Config The above configuration is referenced from alice-logging-config. Please adjust the configuration items according to your actual scenario. The above configuration is referenced from alice-logging-config. Please adjust the configuration items according to your actual scenario. alice-logging-config "},"290":{"url":"/serving/main/en/topics/deployment/deployment#create-trace-config-file","type":"fragment","title":"How to deployment SecretFlow-Serving - 1.4 Create trace config file","content":" This configuration is optional, and may cause some performance degradation, please use it with caution.\nTo record trace info, you can create a file called trace.config in the conf directory within your workspace and paste the following code in: may cause some performance degradation trace.config conf  See Trace Config and Trace Introduction for more trace config information. Trace Config Trace Introduction The above configuration is referenced from alice-trace-config. Please adjust the configuration items according to your actual scenario. The above configuration is referenced from alice-trace-config. Please adjust the configuration items according to your actual scenario. alice-trace-config "},"291":{"url":"/serving/main/en/topics/deployment/deployment#create-docker-compose-file","type":"fragment","title":"How to deployment SecretFlow-Serving - 1.5 Create docker-compose file","content":"Create a file called docker-compose.yaml in your workspace and paste the following code in: docker-compose.yaml  \n__SVC_PORT__  is the published port on the host machine which is used for SecretFlow-Serving prediction service to listen on, you need to replace it with an accessible port number. In this case, we designate it as 9010 for Alice, 9011 for Bob.\n__COM_PORT__  is the published port on the host machine which is used for SecretFlow-Serving communication services to listen on, you need to replace it with an accessible port number. In this case, we designate it as 9110 for Alice, 9111 for Bob.\ntrace_config_file line is optional.\nYou can also use mirrors at Alibaba Cloud: secretflow-registry.cn-hangzhou.cr.aliyuncs.com/secretflow/serving-anolis8:latestsecretflow-registry.cn-hangzhou.cr.aliyuncs.com/secretflow/serving-anolis8:[tag]\n \n__SVC_PORT__  is the published port on the host machine which is used for SecretFlow-Serving prediction service to listen on, you need to replace it with an accessible port number. In this case, we designate it as 9010 for Alice, 9011 for Bob.\n__COM_PORT__  is the published port on the host machine which is used for SecretFlow-Serving communication services to listen on, you need to replace it with an accessible port number. In this case, we designate it as 9110 for Alice, 9111 for Bob.\ntrace_config_file line is optional.\nYou can also use mirrors at Alibaba Cloud: secretflow-registry.cn-hangzhou.cr.aliyuncs.com/secretflow/serving-anolis8:latestsecretflow-registry.cn-hangzhou.cr.aliyuncs.com/secretflow/serving-anolis8:[tag]\n __SVC_PORT__  is the published port on the host machine which is used for SecretFlow-Serving prediction service to listen on, you need to replace it with an accessible port number. In this case, we designate it as 9010 for Alice, 9011 for Bob. __SVC_PORT__ 9010 Alice 9011 Bob __COM_PORT__  is the published port on the host machine which is used for SecretFlow-Serving communication services to listen on, you need to replace it with an accessible port number. In this case, we designate it as 9110 for Alice, 9111 for Bob. __COM_PORT__ 9110 Alice 9111 Bob trace_config_file line is optional. trace_config_file You can also use mirrors at Alibaba Cloud: secretflow-registry.cn-hangzhou.cr.aliyuncs.com/secretflow/serving-anolis8:latestsecretflow-registry.cn-hangzhou.cr.aliyuncs.com/secretflow/serving-anolis8:[tag] secretflow-registry.cn-hangzhou.cr.aliyuncs.com/secretflow/serving-anolis8:latestsecretflow-registry.cn-hangzhou.cr.aliyuncs.com/secretflow/serving-anolis8:[tag] "},"292":{"url":"/serving/main/en/topics/deployment/deployment#step-2-start-serving-service","type":"fragment","title":"How to deployment SecretFlow-Serving - Step 2: Start Serving Service","content":"Here, we’ll use starting Alice’s service as an example. Similarly, you will also need to start the services for the other prediction participants. The file your workspace should be as follows, trace.config is optional: trace.config  Then you can start serving service by running docker compose up.  You can use docker logs to check whether serving works well  Now, Alice prediction serving is listening on 9010, you can confirm if the service is ready by accessing the /health endpoint. Alice 9010 /health  When the endpoint returns a status code of 200, it means that the service is ready. 200 The Secretflow-Serving cluster can start providing model prediction services only after all participants’ services have been started and are ready. The Secretflow-Serving cluster can start providing model prediction services only after all participants’ services have been started and are ready. "},"293":{"url":"/serving/main/en/topics/deployment/deployment#step-3-predict-test","type":"fragment","title":"How to deployment SecretFlow-Serving - Step 3: Predict Test","content":"Based on the capabilities of Brpc, serving supports accessing through various protocols. Here, we are using an HTTP request to test the predict interface of serving. Brpc You can read SecretFlow-Serving API for more information about serving APIs. SecretFlow-Serving API  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to deploy an SecretFlow-Serving cluster |\nServing on Kuscia\nReference:\nSecretFlow-Serving service API |\nSecretFlow-Serving system config |\nSecretFlow-Serving feature service spi\n Guides:\nHow to deploy an SecretFlow-Serving cluster |\nServing on Kuscia Guides How to deploy an SecretFlow-Serving cluster Serving on Kuscia Reference:\nSecretFlow-Serving service API |\nSecretFlow-Serving system config |\nSecretFlow-Serving feature service spi Reference SecretFlow-Serving service API SecretFlow-Serving system config SecretFlow-Serving feature service spi "],[6,"\nIntroduction:\nIntroduction to prediction algorithms\n Introduction:\nIntroduction to prediction algorithms Introduction Introduction to prediction algorithms  "],[175,"\nname: Must be unique among all attrs of the operator.\ndesc: Description of the attribute.\ntype: Please check AttrType.\nis_optional: If True, when AttrValue is not provided, default_value would be used. Else, AttrValue must be provided.\ndefault_value: Please check AttrValue.\n name: Must be unique among all attrs of the operator. desc: Description of the attribute. type: Please check AttrType. AttrType is_optional: If True, when AttrValue is not provided, default_value would be used. Else, AttrValue must be provided. default_value default_value: Please check AttrValue. AttrValue "],[177,"\nname: Must be unique among all nodes of the graph.\nop: The operator name.\nparents: The parent node names of the node. The order of the parent nodes should match the order of the inputs of the node.\nattr_values: The attribute values config in the node. Note that this should include all attrs defined in the corresponding OpDef\nop_version: The operator version.\n name: Must be unique among all nodes of the graph. op: The operator name. parents: The parent node names of the node. The order of the parent nodes should match the order of the inputs of the node. attr_values: The attribute values config in the node. Note that this should include all attrs defined in the corresponding OpDef op_version: The operator version. "],[173,"\nname: Unique name of the operator.\ndesc: Description of the operator.\nversion: The version of the operator.\ntag: Some properties of the operator.\nattributes: Please check Attributes part below.\ninputs and output: The info of the inputs or output of the operator.\n name: Unique name of the operator. desc: Description of the operator. version: The version of the operator. tag: Some properties of the operator. attributes: Please check Attributes part below. Attributes inputs and output: The info of the inputs or output of the operator. "],[181,"\nnodes: Represents the nodes contained in this execution. Note that these node names should be findable and unique within the node definitions. One node can only exist in one execution and must exist in one.\nconfig: The runtime config of the execution. It describes the scheduling logic and session-related states of this execution unit. for more details, please check RuntimeConfig.\n nodes: Represents the nodes contained in this execution. Note that these node names should be findable and unique within the node definitions. One node can only exist in one execution and must exist in one. config: The runtime config of the execution. It describes the scheduling logic and session-related states of this execution unit. for more details, please check RuntimeConfig. RuntimeConfig "],[249,"\nOne process one model/version.\nSupport multiple parties (N >= 2).\nParallel compute between parties.\nBatch Predict API Supported.\nMulti-protocol support. Secretflow-Serving is built on brpc, a high-performance rpc framework, and is capable of using multiple communication protocols.\nSupport multiple types feature sources, e.g. SPI, CSV file, Mock data.\nSpecific model graph definition.\n One process one model/version. Support multiple parties (N >= 2). Parallel compute between parties. Batch Predict API Supported. Multi-protocol support. Secretflow-Serving is built on brpc, a high-performance rpc framework, and is capable of using multiple communication protocols. brpc Support multiple types feature sources, e.g. SPI, CSV file, Mock data. Specific model graph definition. "],[5,"\nOverview:\nIntroduction to graphs |\nOperators\nReference:\nSecretFlow-Serving model |\nsecretflow-serving-lib docs\n Overview:\nIntroduction to graphs |\nOperators Overview Introduction to graphs Operators Reference:\nSecretFlow-Serving model |\nsecretflow-serving-lib docs Reference SecretFlow-Serving model secretflow-serving-lib docs "],[3,"\nOverview:\nSystem overview and architecture\nObservability:\nLogs, Metrics and Trace\nFeatureSource:\nFeature Service\n Overview:\nSystem overview and architecture Overview System overview and architecture Observability:\nLogs, Metrics and Trace Observability Logs, Metrics and Trace FeatureSource:\nFeature Service FeatureSource Feature Service "],[7,"\nQuickstart\n\nTL;DR\nStart SecretFlow-Serving Service\nDo Predict\n\n\n \nQuickstart\n\nTL;DR\nStart SecretFlow-Serving Service\nDo Predict\n\n\n Quickstart\n\nTL;DR\nStart SecretFlow-Serving Service\nDo Predict\n\n Quickstart \nTL;DR\nStart SecretFlow-Serving Service\nDo Predict\n TL;DR TL;DR Start SecretFlow-Serving Service Start SecretFlow-Serving Service Do Predict Do Predict "],[15,"\nrpc BatchFetchFeature(BatchFetchFeatureRequest)\nBatchFetchFeatureResponse\n rpc BatchFetchFeature(BatchFetchFeatureRequest)\nBatchFetchFeatureResponse rpc BatchFetchFeatureRequest BatchFetchFeatureResponse  "],[81,"\nrpc default_method(MetricsRequest)\nMetricsResponse\n rpc default_method(MetricsRequest)\nMetricsResponse rpc MetricsRequest MetricsResponse  "],[79,"\nrpc Execute(ExecuteRequest)\nExecuteResponse\n rpc Execute(ExecuteRequest)\nExecuteResponse rpc ExecuteRequest ExecuteResponse  "],[83,"\nrpc GetModelInfo(GetModelInfoRequest)\nGetModelInfoResponse\n rpc GetModelInfo(GetModelInfoRequest)\nGetModelInfoResponse rpc GetModelInfoRequest GetModelInfoResponse  "],[85,"\nrpc Predict(PredictRequest)\nPredictResponse\n rpc Predict(PredictRequest)\nPredictResponse rpc PredictRequest PredictResponse Predict.  "],[30,"\nsecretflow_serving_lib package\n\nSubmodules\nsecretflow_serving_lib.api module\nsecretflow_serving_lib.attr_pb2 module\nsecretflow_serving_lib.bundle_pb2 module\nsecretflow_serving_lib.compute_trace_pb2 module\nsecretflow_serving_lib.data_type_pb2 module\nsecretflow_serving_lib.feature_pb2 module\nsecretflow_serving_lib.graph_builder module\nsecretflow_serving_lib.graph_pb2 module\nsecretflow_serving_lib.link_function_pb2 module\nsecretflow_serving_lib.op_pb2 module\nsecretflow_serving_lib.version module\nModule contents\n\n\n \nsecretflow_serving_lib package\n\nSubmodules\nsecretflow_serving_lib.api module\nsecretflow_serving_lib.attr_pb2 module\nsecretflow_serving_lib.bundle_pb2 module\nsecretflow_serving_lib.compute_trace_pb2 module\nsecretflow_serving_lib.data_type_pb2 module\nsecretflow_serving_lib.feature_pb2 module\nsecretflow_serving_lib.graph_builder module\nsecretflow_serving_lib.graph_pb2 module\nsecretflow_serving_lib.link_function_pb2 module\nsecretflow_serving_lib.op_pb2 module\nsecretflow_serving_lib.version module\nModule contents\n\n\n secretflow_serving_lib package\n\nSubmodules\nsecretflow_serving_lib.api module\nsecretflow_serving_lib.attr_pb2 module\nsecretflow_serving_lib.bundle_pb2 module\nsecretflow_serving_lib.compute_trace_pb2 module\nsecretflow_serving_lib.data_type_pb2 module\nsecretflow_serving_lib.feature_pb2 module\nsecretflow_serving_lib.graph_builder module\nsecretflow_serving_lib.graph_pb2 module\nsecretflow_serving_lib.link_function_pb2 module\nsecretflow_serving_lib.op_pb2 module\nsecretflow_serving_lib.version module\nModule contents\n\n secretflow_serving_lib package \nSubmodules\nsecretflow_serving_lib.api module\nsecretflow_serving_lib.attr_pb2 module\nsecretflow_serving_lib.bundle_pb2 module\nsecretflow_serving_lib.compute_trace_pb2 module\nsecretflow_serving_lib.data_type_pb2 module\nsecretflow_serving_lib.feature_pb2 module\nsecretflow_serving_lib.graph_builder module\nsecretflow_serving_lib.graph_pb2 module\nsecretflow_serving_lib.link_function_pb2 module\nsecretflow_serving_lib.op_pb2 module\nsecretflow_serving_lib.version module\nModule contents\n Submodules Submodules secretflow_serving_lib.api module secretflow_serving_lib.api module secretflow_serving_lib.attr_pb2 module secretflow_serving_lib.attr_pb2 module secretflow_serving_lib.bundle_pb2 module secretflow_serving_lib.bundle_pb2 module secretflow_serving_lib.compute_trace_pb2 module secretflow_serving_lib.compute_trace_pb2 module secretflow_serving_lib.data_type_pb2 module secretflow_serving_lib.data_type_pb2 module secretflow_serving_lib.feature_pb2 module secretflow_serving_lib.feature_pb2 module secretflow_serving_lib.graph_builder module secretflow_serving_lib.graph_builder module secretflow_serving_lib.graph_pb2 module secretflow_serving_lib.graph_pb2 module secretflow_serving_lib.link_function_pb2 module secretflow_serving_lib.link_function_pb2 module secretflow_serving_lib.op_pb2 module secretflow_serving_lib.op_pb2 module secretflow_serving_lib.version module secretflow_serving_lib.version module Module contents Module contents "],[13,"\nServices\n\nBatchFeatureService\n\n\nMessages\n\nBatchFetchFeatureRequest\nBatchFetchFeatureResponse\nHeader\nHeader.DataEntry\nStatus\nFeature\nFeatureField\nFeatureParam\nFeatureValue\n\n\nEnums\n\nErrorCode\nFieldType\n\n\nScalar Value Types\n Services\n\nBatchFeatureService\n\n \nBatchFeatureService\n BatchFeatureService BatchFeatureService Messages\n\nBatchFetchFeatureRequest\nBatchFetchFeatureResponse\nHeader\nHeader.DataEntry\nStatus\nFeature\nFeatureField\nFeatureParam\nFeatureValue\n\n \nBatchFetchFeatureRequest\nBatchFetchFeatureResponse\nHeader\nHeader.DataEntry\nStatus\nFeature\nFeatureField\nFeatureParam\nFeatureValue\n BatchFetchFeatureRequest BatchFetchFeatureRequest BatchFetchFeatureResponse BatchFetchFeatureResponse Header Header Header.DataEntry Header.DataEntry Status Status Feature Feature FeatureField FeatureField FeatureParam FeatureParam FeatureValue FeatureValue Enums\n\nErrorCode\nFieldType\n\n \nErrorCode\nFieldType\n ErrorCode ErrorCode FieldType FieldType Scalar Value Types Scalar Value Types "],[77,"\nServices\n\nExecutionService\nmetrics\nModelService\nPredictionService\n\n\nMessages\n\nHeader\nHeader.DataEntry\nServiceSpec\nExecuteRequest\nExecuteResponse\nExecuteResult\nExecutionTask\nFeatureSource\nIoData\nNodeIo\nMetricsRequest\nMetricsResponse\nGetModelInfoRequest\nGetModelInfoResponse\nPredictRequest\nPredictRequest.FsParamsEntry\nPredictResponse\nPredictResult\nScore\nStatus\nFeature\nFeatureField\nFeatureParam\nFeatureValue\n\n\nEnums\n\nErrorCode\nFeatureSourceType\nFieldType\n\n\nScalar Value Types\n Services\n\nExecutionService\nmetrics\nModelService\nPredictionService\n\n \nExecutionService\nmetrics\nModelService\nPredictionService\n ExecutionService ExecutionService metrics metrics ModelService ModelService PredictionService PredictionService Messages\n\nHeader\nHeader.DataEntry\nServiceSpec\nExecuteRequest\nExecuteResponse\nExecuteResult\nExecutionTask\nFeatureSource\nIoData\nNodeIo\nMetricsRequest\nMetricsResponse\nGetModelInfoRequest\nGetModelInfoResponse\nPredictRequest\nPredictRequest.FsParamsEntry\nPredictResponse\nPredictResult\nScore\nStatus\nFeature\nFeatureField\nFeatureParam\nFeatureValue\n\n \nHeader\nHeader.DataEntry\nServiceSpec\nExecuteRequest\nExecuteResponse\nExecuteResult\nExecutionTask\nFeatureSource\nIoData\nNodeIo\nMetricsRequest\nMetricsResponse\nGetModelInfoRequest\nGetModelInfoResponse\nPredictRequest\nPredictRequest.FsParamsEntry\nPredictResponse\nPredictResult\nScore\nStatus\nFeature\nFeatureField\nFeatureParam\nFeatureValue\n Header Header Header.DataEntry Header.DataEntry ServiceSpec ServiceSpec ExecuteRequest ExecuteRequest ExecuteResponse ExecuteResponse ExecuteResult ExecuteResult ExecutionTask ExecutionTask FeatureSource FeatureSource IoData IoData NodeIo NodeIo MetricsRequest MetricsRequest MetricsResponse MetricsResponse GetModelInfoRequest GetModelInfoRequest GetModelInfoResponse GetModelInfoResponse PredictRequest PredictRequest PredictRequest.FsParamsEntry PredictRequest.FsParamsEntry PredictResponse PredictResponse PredictResult PredictResult Score Score Status Status Feature Feature FeatureField FeatureField FeatureParam FeatureParam FeatureValue FeatureValue Enums\n\nErrorCode\nFeatureSourceType\nFieldType\n\n \nErrorCode\nFeatureSourceType\nFieldType\n ErrorCode ErrorCode FeatureSourceType FeatureSourceType FieldType FieldType Scalar Value Types Scalar Value Types  "],[32,"\nServices\nMessages\n\nAttrDef\nAttrValue\nBoolList\nBytesList\nDoubleList\nFloatList\nInt32List\nInt64List\nStringList\nIoDef\nOpDef\nOpTag\nExecutionDef\nGraphDef\nGraphView\nHeConfig\nHeInfo\nNodeDef\nNodeDef.AttrValuesEntry\nNodeView\nRuntimeConfig\nModelBundle\nModelInfo\nModelManifest\nComputeTrace\nFunctionInput\nFunctionOutput\nFunctionTrace\nScalar\nComputeTrace\nFunctionInput\nFunctionOutput\nFunctionTrace\nScalar\n\n\nEnums\n\nAttrType\nDispatchType\nFileFormatType\nDataType\nExtendFunctionName\nExtendFunctionName\n\n\nScalar Value Types\n Services Messages\n\nAttrDef\nAttrValue\nBoolList\nBytesList\nDoubleList\nFloatList\nInt32List\nInt64List\nStringList\nIoDef\nOpDef\nOpTag\nExecutionDef\nGraphDef\nGraphView\nHeConfig\nHeInfo\nNodeDef\nNodeDef.AttrValuesEntry\nNodeView\nRuntimeConfig\nModelBundle\nModelInfo\nModelManifest\nComputeTrace\nFunctionInput\nFunctionOutput\nFunctionTrace\nScalar\nComputeTrace\nFunctionInput\nFunctionOutput\nFunctionTrace\nScalar\n\n \nAttrDef\nAttrValue\nBoolList\nBytesList\nDoubleList\nFloatList\nInt32List\nInt64List\nStringList\nIoDef\nOpDef\nOpTag\nExecutionDef\nGraphDef\nGraphView\nHeConfig\nHeInfo\nNodeDef\nNodeDef.AttrValuesEntry\nNodeView\nRuntimeConfig\nModelBundle\nModelInfo\nModelManifest\nComputeTrace\nFunctionInput\nFunctionOutput\nFunctionTrace\nScalar\nComputeTrace\nFunctionInput\nFunctionOutput\nFunctionTrace\nScalar\n AttrDef AttrDef AttrValue AttrValue BoolList BoolList BytesList BytesList DoubleList DoubleList FloatList FloatList Int32List Int32List Int64List Int64List StringList StringList IoDef IoDef OpDef OpDef OpTag OpTag ExecutionDef ExecutionDef GraphDef GraphDef GraphView GraphView HeConfig HeConfig HeInfo HeInfo NodeDef NodeDef NodeDef.AttrValuesEntry NodeDef.AttrValuesEntry NodeView NodeView RuntimeConfig RuntimeConfig ModelBundle ModelBundle ModelInfo ModelInfo ModelManifest ModelManifest ComputeTrace ComputeTrace FunctionInput FunctionInput FunctionOutput FunctionOutput FunctionTrace FunctionTrace Scalar Scalar ComputeTrace ComputeTrace FunctionInput FunctionInput FunctionOutput FunctionOutput FunctionTrace FunctionTrace Scalar Scalar Enums\n\nAttrType\nDispatchType\nFileFormatType\nDataType\nExtendFunctionName\nExtendFunctionName\n\n \nAttrType\nDispatchType\nFileFormatType\nDataType\nExtendFunctionName\nExtendFunctionName\n AttrType AttrType DispatchType DispatchType FileFormatType FileFormatType DataType DataType ExtendFunctionName ExtendFunctionName ExtendFunctionName ExtendFunctionName Scalar Value Types Scalar Value Types  "],[138,"\nServices\nMessages\n\nChannelDesc\nClusterConfig\nPartyDesc\nCsvOptions\nFeatureSourceConfig\nHttpOptions\nMockOptions\nStreamingOptions\nLoggingConfig\nDPSourceMeta\nFileSourceMeta\nHttpSourceMeta\nModelConfig\nOSSSourceMeta\nExponentialBackOffConfig\nFixedBackOffConfig\nRandomBackOffConfig\nRetryPolicyConfig\nServerConfig\nServerConfig.FeatureMappingEntry\nServingConfig\nTlsConfig\nTraceConfig\nTraceLogConfig\n\n\nEnums\n\nMockDataType\nLogLevel\nSourceType\nRetryPolicyBackOffMode\n\n\nScalar Value Types\n Services Messages\n\nChannelDesc\nClusterConfig\nPartyDesc\nCsvOptions\nFeatureSourceConfig\nHttpOptions\nMockOptions\nStreamingOptions\nLoggingConfig\nDPSourceMeta\nFileSourceMeta\nHttpSourceMeta\nModelConfig\nOSSSourceMeta\nExponentialBackOffConfig\nFixedBackOffConfig\nRandomBackOffConfig\nRetryPolicyConfig\nServerConfig\nServerConfig.FeatureMappingEntry\nServingConfig\nTlsConfig\nTraceConfig\nTraceLogConfig\n\n 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ServerConfig.FeatureMappingEntry ServerConfig.FeatureMappingEntry ServingConfig ServingConfig TlsConfig TlsConfig TraceConfig TraceConfig TraceLogConfig TraceLogConfig Enums\n\nMockDataType\nLogLevel\nSourceType\nRetryPolicyBackOffMode\n\n \nMockDataType\nLogLevel\nSourceType\nRetryPolicyBackOffMode\n MockDataType MockDataType LogLevel LogLevel SourceType SourceType RetryPolicyBackOffMode RetryPolicyBackOffMode Scalar Value Types Scalar Value Types  "],[132,"\nServices\nMessages\n\nSpanInfo\n\n\nEnums\nScalar Value Types\n Services Messages\n\nSpanInfo\n\n \nSpanInfo\n SpanInfo SpanInfo Enums Scalar Value Types Scalar Value Types  "],[179,"\nversion: Version of the graph.\nnode_list: The node list of the graph.\nexecution_list: Please check Executions part below.\n version: Version of the graph. node_list: The node list of the graph. execution_list: Please check Executions part below. Executions "],[26," "],[97," "],[98," "],[111," "],[135," "],[164," "],[289," Create a file called logging.config in the conf directory within your workspace and paste the following code in: logging.config conf  See Logging Config for more logging config information. Logging Config The above configuration is referenced from alice-logging-config. Please adjust the configuration items according to your actual scenario. The above configuration is referenced from alice-logging-config. Please adjust the configuration items according to your actual scenario. alice-logging-config "],[288," Create a file called serving.config in the conf directory within your workspace and paste the following code in: serving.config conf  See Serving Config for more config information Serving Config \nFor Alice, __ALICE_URL__ can be simply configured to 0.0.0.0:9110, __BOB_URL__ is the url (eg:http://192.168.11.34) where bob’s serving communicationPort is listen on, you need to replace it with bob’s serving url.\nThe above configuration is referenced from alice-serving-config. Please adjust the configuration items according to your actual scenario.\nNote mockOpts is configured here for a mock feature data source, which will provide simulated feature data to support the model prediction process. In actual use, please provide feature data in the form of a feature service by implementing the SecretFlow-Serving Feature Service SPI.\n \nFor Alice, __ALICE_URL__ can be simply configured to 0.0.0.0:9110, __BOB_URL__ is the url (eg:http://192.168.11.34) where bob’s serving communicationPort is listen on, you need to replace it with bob’s serving url.\nThe above configuration is referenced from alice-serving-config. Please adjust the configuration items according to your actual scenario.\nNote mockOpts is configured here for a mock feature data source, which will provide simulated feature data to support the model prediction process. In actual use, please provide feature data in the form of a feature service by implementing the SecretFlow-Serving Feature Service SPI.\n For Alice, __ALICE_URL__ can be simply configured to 0.0.0.0:9110, __BOB_URL__ is the url (eg:http://192.168.11.34) where bob’s serving communicationPort is listen on, you need to replace it with bob’s serving url. __ALICE_URL__ 0.0.0.0:9110 __BOB_URL__ http://192.168.11.34 communicationPort The above configuration is referenced from alice-serving-config. Please adjust the configuration items according to your actual scenario. alice-serving-config Note mockOpts is configured here for a mock feature data source, which will provide simulated feature data to support the model prediction process. In actual use, please provide feature data in the form of a feature service by implementing the SecretFlow-Serving Feature Service SPI. Note mockOpts SecretFlow-Serving Feature Service SPI SecretFlow-Serving Feature Service SPI "],[287," Here, we use the model file from the “examples” directory as a demonstration and place it in the “serving” directory. Please replace the following path with the actual path according to your situation. Model packages for SecretFlow-Serving can be generated by using the model_export component of SecretFlow. For more details, please refer to model_export. model_export model_export  For Bob should use model file serving/examples/bob/glm-test.tar.gz. For Bob should use model file serving/examples/bob/glm-test.tar.gz. Bob serving/examples/bob/glm-test.tar.gz "],[171," Secretflow-Serving has defined a protocol for describing prediction computations, which mainly includes descriptions of operators, attributes, nodes, graphs, and executions.   "],[170," system\nSecretFlow-Serving System Introduction\n\nKey Features\nArchitecture\n\n\nSecretFlow-Serving System Observability\nLogs\nMetrics\n\nFormat\nMetric entries\n\n\nTrace\n\nConfigure\nFormat\nAttributes\n\n\nFeature Service\n\nStep 1: Implement and deploy the feature service\nStep 2: Configure startup config\n\n\n system system \nSecretFlow-Serving System Introduction\n\nKey Features\nArchitecture\n\n\nSecretFlow-Serving System Observability\nLogs\nMetrics\n\nFormat\nMetric entries\n\n\nTrace\n\nConfigure\nFormat\nAttributes\n\n\nFeature Service\n\nStep 1: Implement and deploy the feature service\nStep 2: Configure startup config\n\n\n SecretFlow-Serving System Introduction\n\nKey Features\nArchitecture\n\n SecretFlow-Serving System Introduction \nKey Features\nArchitecture\n Key Features Key Features Architecture Architecture SecretFlow-Serving System Observability SecretFlow-Serving System Observability Logs Logs Metrics\n\nFormat\nMetric entries\n\n Metrics \nFormat\nMetric entries\n Format Format Metric entries Metric entries Trace\n\nConfigure\nFormat\nAttributes\n\n Trace \nConfigure\nFormat\nAttributes\n Configure Configure Format Format Attributes Attributes Feature Service\n\nStep 1: Implement and deploy the feature service\nStep 2: Configure startup config\n\n Feature Service \nStep 1: Implement and deploy the feature service\nStep 2: Configure startup config\n Step 1: Implement and deploy the feature service Step 1: Implement and deploy the feature service Step 2: Configure startup config Step 2: Configure startup config deployment\nHow to deployment SecretFlow-Serving\n\nDeployment Diagram\nStep 1: Deploy SecretFlow-Serving\nStep 2: Start Serving Service\nStep 3: Predict Test\n\n\nSecretFlow-Serving on Kuscia\n\nAppImage\nConfiguration description\n\n\n deployment deployment \nHow to deployment SecretFlow-Serving\n\nDeployment Diagram\nStep 1: Deploy SecretFlow-Serving\nStep 2: Start Serving Service\nStep 3: Predict Test\n\n\nSecretFlow-Serving on Kuscia\n\nAppImage\nConfiguration description\n\n\n How to deployment SecretFlow-Serving\n\nDeployment Diagram\nStep 1: Deploy SecretFlow-Serving\nStep 2: Start Serving Service\nStep 3: Predict Test\n\n How to deployment SecretFlow-Serving \nDeployment Diagram\nStep 1: Deploy SecretFlow-Serving\nStep 2: Start Serving Service\nStep 3: Predict Test\n Deployment Diagram Deployment Diagram Step 1: Deploy SecretFlow-Serving Step 1: Deploy SecretFlow-Serving Step 2: Start Serving Service Step 2: Start Serving Service Step 3: Predict Test Step 3: Predict Test SecretFlow-Serving on Kuscia\n\nAppImage\nConfiguration description\n\n SecretFlow-Serving on Kuscia \nAppImage\nConfiguration description\n AppImage AppImage Configuration description Configuration description graph\nIntroduction to Graph\n\nOperators\nAttributes\nNodes\nGraphs\nExecutions\n\n\nSecretFlow-Serving Operator List\n\nPHE_2P_TREE_SELECT\nTREE_SELECT\nARROW_PROCESSING\nPHE_2P_DOT_PRODUCT\nDOT_PRODUCT\nTREE_ENSEMBLE_PREDICT\nPHE_2P_DECRYPT_PEER_Y\nMERGE_Y\nPHE_2P_TREE_ENSEMBLE_MERGE\nPHE_2P_MERGE_Y\nTREE_MERGE\nPHE_2P_REDUCE\nPHE_2P_TREE_ENSEMBLE_PREDICT\nPHE_2P_TREE_MERGE\n\n\n graph graph \nIntroduction to Graph\n\nOperators\nAttributes\nNodes\nGraphs\nExecutions\n\n\nSecretFlow-Serving Operator List\n\nPHE_2P_TREE_SELECT\nTREE_SELECT\nARROW_PROCESSING\nPHE_2P_DOT_PRODUCT\nDOT_PRODUCT\nTREE_ENSEMBLE_PREDICT\nPHE_2P_DECRYPT_PEER_Y\nMERGE_Y\nPHE_2P_TREE_ENSEMBLE_MERGE\nPHE_2P_MERGE_Y\nTREE_MERGE\nPHE_2P_REDUCE\nPHE_2P_TREE_ENSEMBLE_PREDICT\nPHE_2P_TREE_MERGE\n\n\n Introduction to Graph\n\nOperators\nAttributes\nNodes\nGraphs\nExecutions\n\n Introduction to Graph \nOperators\nAttributes\nNodes\nGraphs\nExecutions\n Operators Operators Attributes Attributes Nodes Nodes Graphs Graphs Executions Executions SecretFlow-Serving Operator List\n\nPHE_2P_TREE_SELECT\nTREE_SELECT\nARROW_PROCESSING\nPHE_2P_DOT_PRODUCT\nDOT_PRODUCT\nTREE_ENSEMBLE_PREDICT\nPHE_2P_DECRYPT_PEER_Y\nMERGE_Y\nPHE_2P_TREE_ENSEMBLE_MERGE\nPHE_2P_MERGE_Y\nTREE_MERGE\nPHE_2P_REDUCE\nPHE_2P_TREE_ENSEMBLE_PREDICT\nPHE_2P_TREE_MERGE\n\n SecretFlow-Serving Operator List \nPHE_2P_TREE_SELECT\nTREE_SELECT\nARROW_PROCESSING\nPHE_2P_DOT_PRODUCT\nDOT_PRODUCT\nTREE_ENSEMBLE_PREDICT\nPHE_2P_DECRYPT_PEER_Y\nMERGE_Y\nPHE_2P_TREE_ENSEMBLE_MERGE\nPHE_2P_MERGE_Y\nTREE_MERGE\nPHE_2P_REDUCE\nPHE_2P_TREE_ENSEMBLE_PREDICT\nPHE_2P_TREE_MERGE\n PHE_2P_TREE_SELECT PHE_2P_TREE_SELECT TREE_SELECT TREE_SELECT ARROW_PROCESSING ARROW_PROCESSING PHE_2P_DOT_PRODUCT PHE_2P_DOT_PRODUCT DOT_PRODUCT DOT_PRODUCT TREE_ENSEMBLE_PREDICT TREE_ENSEMBLE_PREDICT PHE_2P_DECRYPT_PEER_Y PHE_2P_DECRYPT_PEER_Y MERGE_Y MERGE_Y PHE_2P_TREE_ENSEMBLE_MERGE PHE_2P_TREE_ENSEMBLE_MERGE PHE_2P_MERGE_Y PHE_2P_MERGE_Y TREE_MERGE TREE_MERGE PHE_2P_REDUCE PHE_2P_REDUCE PHE_2P_TREE_ENSEMBLE_PREDICT PHE_2P_TREE_ENSEMBLE_PREDICT PHE_2P_TREE_MERGE PHE_2P_TREE_MERGE algorithm\nIntroduction To Prediction Algorithms\n\nVertical Linear Prediction\nVertical Tree Model Prediction\n\n\n algorithm algorithm \nIntroduction To Prediction Algorithms\n\nVertical Linear Prediction\nVertical Tree Model Prediction\n\n\n Introduction To Prediction Algorithms\n\nVertical Linear Prediction\nVertical Tree Model Prediction\n\n Introduction To Prediction Algorithms \nVertical Linear Prediction\nVertical Tree Model Prediction\n Vertical Linear Prediction Vertical Linear Prediction Vertical Tree Model Prediction Vertical Tree Model Prediction "],[290," This configuration is optional, and may cause some performance degradation, please use it with caution.\nTo record trace info, you can create a file called trace.config in the conf directory within your workspace and paste the following code in: may cause some performance degradation trace.config conf  See Trace Config and Trace Introduction for more trace config information. Trace Config Trace Introduction The above configuration is referenced from alice-trace-config. Please adjust the configuration items according to your actual scenario. The above configuration is referenced from alice-trace-config. Please adjust the configuration items according to your actual scenario. alice-trace-config "],[130," This part contains detailed explanation of Model, Configs, SPIs and APIs. API\nSecretFlow-Serving API\n API API \nSecretFlow-Serving API\n SecretFlow-Serving API SecretFlow-Serving API Config\nSecretFlow-Serving Config\n Config Config \nSecretFlow-Serving Config\n SecretFlow-Serving Config SecretFlow-Serving Config SPI\nSecretFlow-Serving SPI\n SPI SPI \nSecretFlow-Serving SPI\n SecretFlow-Serving SPI SecretFlow-Serving SPI Model\nSecretFlow-Serving Model\n Model Model \nSecretFlow-Serving Model\n SecretFlow-Serving Model SecretFlow-Serving Model SpanInfo\nSecretFlow-Serving SpanInfo\n SpanInfo SpanInfo \nSecretFlow-Serving SpanInfo\n SecretFlow-Serving SpanInfo SecretFlow-Serving SpanInfo Modules\nsecretflow_serving_lib\n\nsecretflow_serving_lib package\n\n\n Modules Modules \nsecretflow_serving_lib\n\nsecretflow_serving_lib package\n\n\n secretflow_serving_lib\n\nsecretflow_serving_lib package\n\n secretflow_serving_lib \nsecretflow_serving_lib package\n secretflow_serving_lib package secretflow_serving_lib package "],[29,".proto TypeNotesC++ TypeJava TypePython Type doubledoubledoublefloat floatfloatfloatfloat int32Uses variable-length encoding. Inefficient for encoding negative numbers – if your field is likely to have negative values, use sint32 instead.int32intint int64Uses variable-length encoding. Inefficient for encoding negative numbers – if your field is likely to have negative values, use sint64 instead.int64longint/long uint32Uses variable-length encoding.uint32intint/long uint64Uses variable-length encoding.uint64longint/long sint32Uses variable-length encoding. Signed int value. These more efficiently encode negative numbers than regular int32s.int32intint sint64Uses variable-length encoding. Signed int value. These more efficiently encode negative numbers than regular int64s.int64longint/long fixed32Always four bytes. More efficient than uint32 if values are often greater than 2^28.uint32intint fixed64Always eight bytes. More efficient than uint64 if values are often greater than 2^56.uint64longint/long sfixed32Always four bytes.int32intint sfixed64Always eight bytes.int64longint/long boolboolbooleanboolean stringA string must always contain UTF-8 encoded or 7-bit ASCII text.stringStringstr/unicode bytesMay contain any arbitrary sequence of bytes.stringByteStringstr .proto TypeNotesC++ TypeJava TypePython Type .proto TypeNotesC++ TypeJava TypePython Type .proto Type .proto Type Notes Notes C++ Type C++ Type Java Type Java Type Python Type Python Type  doubledoubledoublefloat floatfloatfloatfloat int32Uses variable-length encoding. Inefficient for encoding negative numbers – if your field is likely to have negative values, use sint32 instead.int32intint int64Uses variable-length encoding. Inefficient for encoding negative numbers – if your field is likely to have negative values, use sint64 instead.int64longint/long uint32Uses variable-length encoding.uint32intint/long uint64Uses variable-length encoding.uint64longint/long sint32Uses variable-length encoding. Signed int value. These more efficiently encode negative numbers than regular int32s.int32intint sint64Uses variable-length encoding. Signed int value. These more efficiently encode negative numbers than regular int64s.int64longint/long fixed32Always four bytes. More efficient than uint32 if values are often greater than 2^28.uint32intint fixed64Always eight bytes. More efficient than uint64 if values are often greater than 2^56.uint64longint/long sfixed32Always four bytes.int32intint sfixed64Always eight bytes.int64longint/long boolboolbooleanboolean stringA string must always contain UTF-8 encoded or 7-bit ASCII text.stringStringstr/unicode bytesMay contain any arbitrary sequence of bytes.stringByteStringstr  doubledoubledoublefloat  double  double  "],[75,".proto TypeNotesC++ TypeJava TypePython Type doubledoubledoublefloat floatfloatfloatfloat int32Uses variable-length encoding. Inefficient for encoding negative numbers – if your field is likely to have negative values, use sint32 instead.int32intint int64Uses variable-length encoding. Inefficient for encoding negative numbers – if your field is likely to have negative values, use sint64 instead.int64longint/long uint32Uses variable-length encoding.uint32intint/long uint64Uses variable-length encoding.uint64longint/long sint32Uses variable-length encoding. Signed int value. These more efficiently encode negative numbers than regular int32s.int32intint sint64Uses variable-length encoding. Signed int value. These more efficiently encode negative numbers than regular int64s.int64longint/long fixed32Always four bytes. More efficient than uint32 if values are often greater than 2^28.uint32intint fixed64Always eight bytes. More efficient than uint64 if values are often greater than 2^56.uint64longint/long sfixed32Always four bytes.int32intint sfixed64Always eight bytes.int64longint/long boolboolbooleanboolean stringA string must always contain UTF-8 encoded or 7-bit ASCII text.stringStringstr/unicode bytesMay contain any arbitrary sequence of bytes.stringByteStringstr .proto TypeNotesC++ TypeJava TypePython Type .proto TypeNotesC++ TypeJava TypePython Type .proto Type .proto Type Notes Notes C++ Type C++ Type Java Type Java Type Python Type Python Type  doubledoubledoublefloat floatfloatfloatfloat int32Uses variable-length encoding. Inefficient for encoding negative numbers – if your field is likely to have negative values, use sint32 instead.int32intint int64Uses variable-length encoding. Inefficient for encoding negative numbers – if your field is likely to have negative values, use sint64 instead.int64longint/long uint32Uses variable-length encoding.uint32intint/long uint64Uses variable-length encoding.uint64longint/long sint32Uses variable-length encoding. Signed int value. These more efficiently encode negative numbers than regular int32s.int32intint sint64Uses variable-length encoding. Signed int value. These more efficiently encode negative numbers than regular int64s.int64longint/long fixed32Always four bytes. More efficient than uint32 if values are often greater than 2^28.uint32intint fixed64Always eight bytes. More efficient than uint64 if values are often greater than 2^56.uint64longint/long sfixed32Always four bytes.int32intint sfixed64Always eight bytes.int64longint/long boolboolbooleanboolean stringA string must always contain UTF-8 encoded or 7-bit ASCII text.stringStringstr/unicode bytesMay contain any arbitrary sequence of bytes.stringByteStringstr  doubledoubledoublefloat  double  double  "],[115,".proto TypeNotesC++ TypeJava TypePython Type doubledoubledoublefloat floatfloatfloatfloat int32Uses variable-length encoding. Inefficient for encoding negative numbers – if your field is likely to have negative values, use sint32 instead.int32intint int64Uses variable-length encoding. Inefficient for encoding negative numbers – if your field is likely to have negative values, use sint64 instead.int64longint/long uint32Uses variable-length encoding.uint32intint/long uint64Uses variable-length encoding.uint64longint/long sint32Uses variable-length encoding. Signed int value. These more efficiently encode negative numbers than regular int32s.int32intint sint64Uses variable-length encoding. Signed int value. These more efficiently encode negative numbers than regular int64s.int64longint/long fixed32Always four bytes. More efficient than uint32 if values are often greater than 2^28.uint32intint fixed64Always eight bytes. More efficient than uint64 if values are often greater than 2^56.uint64longint/long sfixed32Always four bytes.int32intint sfixed64Always eight bytes.int64longint/long boolboolbooleanboolean stringA string must always contain UTF-8 encoded or 7-bit ASCII text.stringStringstr/unicode bytesMay contain any arbitrary sequence of bytes.stringByteStringstr .proto TypeNotesC++ TypeJava TypePython Type .proto TypeNotesC++ TypeJava TypePython Type .proto Type .proto Type Notes Notes C++ Type C++ Type Java Type Java Type Python Type Python Type  doubledoubledoublefloat floatfloatfloatfloat int32Uses variable-length encoding. Inefficient for encoding negative numbers – if your field is likely to have negative values, use sint32 instead.int32intint int64Uses variable-length encoding. Inefficient for encoding negative numbers – if your field is likely to have negative values, use sint64 instead.int64longint/long uint32Uses variable-length encoding.uint32intint/long uint64Uses variable-length encoding.uint64longint/long sint32Uses variable-length encoding. Signed int value. These more efficiently encode negative numbers than regular int32s.int32intint sint64Uses variable-length encoding. Signed int value. These more efficiently encode negative numbers than regular int64s.int64longint/long fixed32Always four bytes. More efficient than uint32 if values are often greater than 2^28.uint32intint fixed64Always eight bytes. More efficient than uint64 if values are often greater than 2^56.uint64longint/long sfixed32Always four bytes.int32intint sfixed64Always eight bytes.int64longint/long boolboolbooleanboolean stringA string must always contain UTF-8 encoded or 7-bit ASCII text.stringStringstr/unicode bytesMay contain any arbitrary sequence of bytes.stringByteStringstr  doubledoubledoublefloat  double  double  "],[136,".proto TypeNotesC++ TypeJava TypePython Type doubledoubledoublefloat floatfloatfloatfloat int32Uses variable-length encoding. Inefficient for encoding negative numbers – if your field is likely to have negative values, use sint32 instead.int32intint int64Uses variable-length encoding. Inefficient for encoding negative numbers – if your field is likely to have negative values, use sint64 instead.int64longint/long uint32Uses variable-length encoding.uint32intint/long uint64Uses variable-length encoding.uint64longint/long sint32Uses variable-length encoding. Signed int value. These more efficiently encode negative numbers than regular int32s.int32intint sint64Uses variable-length encoding. Signed int value. These more efficiently encode negative numbers than regular int64s.int64longint/long fixed32Always four bytes. More efficient than uint32 if values are often greater than 2^28.uint32intint fixed64Always eight bytes. More efficient than uint64 if values are often greater than 2^56.uint64longint/long sfixed32Always four bytes.int32intint sfixed64Always eight bytes.int64longint/long boolboolbooleanboolean stringA string must always contain UTF-8 encoded or 7-bit ASCII text.stringStringstr/unicode bytesMay contain any arbitrary sequence of bytes.stringByteStringstr .proto TypeNotesC++ TypeJava TypePython Type .proto TypeNotesC++ TypeJava TypePython Type .proto Type .proto Type Notes Notes C++ Type C++ Type Java Type Java Type Python Type Python Type  doubledoubledoublefloat floatfloatfloatfloat int32Uses variable-length encoding. Inefficient for encoding negative numbers – if your field is likely to have negative values, use sint32 instead.int32intint int64Uses variable-length encoding. Inefficient for encoding negative numbers – if your field is likely to have negative values, use sint64 instead.int64longint/long uint32Uses variable-length encoding.uint32intint/long uint64Uses variable-length encoding.uint64longint/long sint32Uses variable-length encoding. Signed int value. These more efficiently encode negative numbers than regular int32s.int32intint sint64Uses variable-length encoding. Signed int value. These more efficiently encode negative numbers than regular int64s.int64longint/long fixed32Always four bytes. More efficient than uint32 if values are often greater than 2^28.uint32intint fixed64Always eight bytes. More efficient than uint64 if values are often greater than 2^56.uint64longint/long sfixed32Always four bytes.int32intint sfixed64Always eight bytes.int64longint/long boolboolbooleanboolean stringA string must always contain UTF-8 encoded or 7-bit ASCII text.stringStringstr/unicode bytesMay contain any arbitrary sequence of bytes.stringByteStringstr  doubledoubledoublefloat  double  double  "],[169,".proto TypeNotesC++ TypeJava TypePython Type doubledoubledoublefloat floatfloatfloatfloat int32Uses variable-length encoding. Inefficient for encoding negative numbers – if your field is likely to have negative values, use sint32 instead.int32intint int64Uses variable-length encoding. Inefficient for encoding negative numbers – if your field is likely to have negative values, use sint64 instead.int64longint/long uint32Uses variable-length encoding.uint32intint/long uint64Uses variable-length encoding.uint64longint/long sint32Uses variable-length encoding. Signed int value. These more efficiently encode negative numbers than regular int32s.int32intint sint64Uses variable-length encoding. Signed int value. These more efficiently encode negative numbers than regular int64s.int64longint/long fixed32Always four bytes. More efficient than uint32 if values are often greater than 2^28.uint32intint fixed64Always eight bytes. More efficient than uint64 if values are often greater than 2^56.uint64longint/long sfixed32Always four bytes.int32intint sfixed64Always eight bytes.int64longint/long boolboolbooleanboolean stringA string must always contain UTF-8 encoded or 7-bit ASCII text.stringStringstr/unicode bytesMay contain any arbitrary sequence of bytes.stringByteStringstr .proto TypeNotesC++ TypeJava TypePython Type .proto TypeNotesC++ TypeJava TypePython Type .proto Type .proto Type Notes Notes C++ Type C++ Type Java Type Java Type Python Type Python Type  doubledoubledoublefloat floatfloatfloatfloat int32Uses variable-length encoding. Inefficient for encoding negative numbers – if your field is likely to have negative values, use sint32 instead.int32intint int64Uses variable-length encoding. Inefficient for encoding negative numbers – if your field is likely to have negative values, use sint64 instead.int64longint/long uint32Uses variable-length encoding.uint32intint/long uint64Uses variable-length encoding.uint64longint/long sint32Uses variable-length encoding. Signed int value. These more efficiently encode negative numbers than regular int32s.int32intint sint64Uses variable-length encoding. Signed int value. These more efficiently encode negative numbers than regular int64s.int64longint/long fixed32Always four bytes. More efficient than uint32 if values are often greater than 2^28.uint32intint fixed64Always eight bytes. More efficient than uint64 if values are often greater than 2^56.uint64longint/long sfixed32Always four bytes.int32intint sfixed64Always eight bytes.int64longint/long boolboolbooleanboolean stringA string must always contain UTF-8 encoded or 7-bit ASCII text.stringStringstr/unicode bytesMay contain any arbitrary sequence of bytes.stringByteStringstr  doubledoubledoublefloat  double  double  "],[252,"A Secretflow-Serving model package is a compressed package comprising a model file, a manifest file, and other metadata files. The manifest file provides meta-information about the model file and follows the defined structure outlined here. here The model file contains the graph that represents the model inference process, encompassing pre-processing, post-processing, and the specific inference algorithm. For graph details, please check Introduction to Graph. Introduction to Graph The metadata files, while optional, stores additional data information required during the model inference process. "],[293,"Based on the capabilities of Brpc, serving supports accessing through various protocols. Here, we are using an HTTP request to test the predict interface of serving. Brpc You can read SecretFlow-Serving API for more information about serving APIs. SecretFlow-Serving API  "],[14,"BatchFeatureService provides access to fetch features. "],[17,"BatchFetchFeature request containing one or more requests.\nexamples:  FieldTypeDescriptionheader HeaderCustom data passed by the Predict request’s header.model_service_id stringModel service specification.party_id stringThe request party id.feature_fieldsrepeated secretflow.serving.FeatureFieldRequest feature field listparam secretflow.serving.FeatureParamCustom query paramters for fetch features FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description header HeaderCustom data passed by the Predict request’s header.model_service_id stringModel service specification.party_id stringThe request party id.feature_fieldsrepeated secretflow.serving.FeatureFieldRequest feature field listparam secretflow.serving.FeatureParamCustom query paramters for fetch features header HeaderCustom data passed by the Predict request’s header. header header  Header  Header  Header Custom data passed by the Predict request’s header. Custom data passed by the Predict request’s header. model_service_id stringModel service specification. model_service_id model_service_id  string  string  string  string Model service specification. Model service specification. party_id stringThe request party id. party_id party_id  string  string  string  string The request party id. The request party id. feature_fieldsrepeated secretflow.serving.FeatureFieldRequest feature field list feature_fields feature_fields repeated secretflow.serving.FeatureField repeated secretflow.serving.FeatureField repeated secretflow.serving.FeatureField Request feature field list Request feature field list param secretflow.serving.FeatureParamCustom query paramters for fetch features param param  secretflow.serving.FeatureParam  secretflow.serving.FeatureParam  secretflow.serving.FeatureParam Custom query paramters for fetch features Custom query paramters for fetch features  "],[18,"BatchFetchFeatureResponse response containing one or more responses.\nexamples:  FieldTypeDescriptionheader HeaderCustom data.status Statusnonefeaturesrepeated secretflow.serving.FeatureShould include all the features mentioned in the BatchFetchFeatureRequest.feature_fields FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description header HeaderCustom data.status Statusnonefeaturesrepeated secretflow.serving.FeatureShould include all the features mentioned in the BatchFetchFeatureRequest.feature_fields header HeaderCustom data. header header  Header  Header  Header Custom data. Custom data. status Statusnone status status  Status  Status  Status none none featuresrepeated secretflow.serving.FeatureShould include all the features mentioned in the BatchFetchFeatureRequest.feature_fields features features repeated secretflow.serving.Feature repeated secretflow.serving.Feature repeated secretflow.serving.Feature Should include all the features mentioned in the BatchFetchFeatureRequest.feature_fields Should include all the features mentioned in the BatchFetchFeatureRequest.feature_fields  "],[144,"Config for a feature source FieldTypeDescriptiononeof options.mock_opts MockOptionsnoneoneof options.http_opts HttpOptionsnoneoneof options.csv_opts CsvOptionsnoneoneof options.streaming_opts StreamingOptionsnone FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description oneof options.mock_opts MockOptionsnoneoneof options.http_opts HttpOptionsnoneoneof options.csv_opts CsvOptionsnoneoneof options.streaming_opts StreamingOptionsnone oneof options.mock_opts MockOptionsnone oneof options.mock_opts oneof options.mock_opts oneof oneof  MockOptions  MockOptions  MockOptions none none oneof options.http_opts HttpOptionsnone oneof options.http_opts oneof options.http_opts oneof oneof  HttpOptions  HttpOptions  HttpOptions none none oneof options.csv_opts CsvOptionsnone oneof options.csv_opts oneof options.csv_opts oneof oneof  CsvOptions  CsvOptions  CsvOptions none none oneof options.streaming_opts StreamingOptionsnone oneof options.streaming_opts oneof options.streaming_opts oneof oneof  StreamingOptions  StreamingOptions  StreamingOptions none none  "],[152,"Config for serving model FieldTypeDescriptionmodel_id stringUnique id of the model packagebase_path stringPath used to cache and load model packagesource_path stringThe path to the model package in the data source, where the content format may vary depending on the source_typesource_sha256 stringOptional. The expect sha256 of the model packagesource_type SourceTypenoneoneof kind.file_source_meta FileSourceMetanoneoneof kind.oss_source_meta OSSSourceMetanoneoneof kind.http_source_meta HttpSourceMetanoneoneof kind.dp_source_meta DPSourceMetanone FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description model_id stringUnique id of the model packagebase_path stringPath used to cache and load model packagesource_path stringThe path to the model package in the data source, where the content format may vary depending on the source_typesource_sha256 stringOptional. The expect sha256 of the model packagesource_type SourceTypenoneoneof kind.file_source_meta FileSourceMetanoneoneof kind.oss_source_meta OSSSourceMetanoneoneof kind.http_source_meta HttpSourceMetanoneoneof kind.dp_source_meta DPSourceMetanone model_id stringUnique id of the model package model_id model_id  string  string  string  string Unique id of the model package Unique id of the model package base_path stringPath used to cache and load model package base_path base_path  string  string  string  string Path used to cache and load model package Path used to cache and load model package source_path stringThe path to the model package in the data source, where the content format may vary depending on the source_type source_path source_path  string  string  string  string The path to the model package in the data source, where the content format may vary depending on the source_type The path to the model package in the data source, where the content format may vary depending on the source_type source_type source_sha256 stringOptional. The expect sha256 of the model package source_sha256 source_sha256  string  string  string  string Optional. The expect sha256 of the model package Optional. The expect sha256 of the model package source_type SourceTypenone source_type source_type  SourceType  SourceType  SourceType none none oneof kind.file_source_meta FileSourceMetanone oneof kind.file_source_meta oneof kind.file_source_meta oneof oneof  FileSourceMeta  FileSourceMeta  FileSourceMeta none none oneof kind.oss_source_meta OSSSourceMetanone oneof kind.oss_source_meta oneof kind.oss_source_meta oneof oneof  OSSSourceMeta  OSSSourceMeta  OSSSourceMeta none none oneof kind.http_source_meta HttpSourceMetanone oneof kind.http_source_meta oneof kind.http_source_meta oneof oneof  HttpSourceMeta  HttpSourceMeta  HttpSourceMeta none none oneof kind.dp_source_meta DPSourceMetanone oneof kind.dp_source_meta oneof kind.dp_source_meta oneof oneof  DPSourceMeta  DPSourceMeta  DPSourceMeta none none  "],[257,"Configure the feature data source in the SecretFlow-Serving startup configuration to the following pattern:  In this configuration, the endpoint is the URL of the feature service’s feature fetching interface. SecretFlow-Serving will access the feature service to obtain feature data according to the SPI definition. Detailed configuration instructions can be found here. here "],[291,"Create a file called docker-compose.yaml in your workspace and paste the following code in: docker-compose.yaml  \n__SVC_PORT__  is the published port on the host machine which is used for SecretFlow-Serving prediction service to listen on, you need to replace it with an accessible port number. In this case, we designate it as 9010 for Alice, 9011 for Bob.\n__COM_PORT__  is the published port on the host machine which is used for SecretFlow-Serving communication services to listen on, you need to replace it with an accessible port number. In this case, we designate it as 9110 for Alice, 9111 for Bob.\ntrace_config_file line is optional.\nYou can also use mirrors at Alibaba Cloud: secretflow-registry.cn-hangzhou.cr.aliyuncs.com/secretflow/serving-anolis8:latestsecretflow-registry.cn-hangzhou.cr.aliyuncs.com/secretflow/serving-anolis8:[tag]\n \n__SVC_PORT__  is the published port on the host machine which is used for SecretFlow-Serving prediction service to listen on, you need to replace it with an accessible port number. In this case, we designate it as 9010 for Alice, 9011 for Bob.\n__COM_PORT__  is the published port on the host machine which is used for SecretFlow-Serving communication services to listen on, you need to replace it with an accessible port number. In this case, we designate it as 9110 for Alice, 9111 for Bob.\ntrace_config_file line is optional.\nYou can also use mirrors at Alibaba Cloud: secretflow-registry.cn-hangzhou.cr.aliyuncs.com/secretflow/serving-anolis8:latestsecretflow-registry.cn-hangzhou.cr.aliyuncs.com/secretflow/serving-anolis8:[tag]\n __SVC_PORT__  is the published port on the host machine which is used for SecretFlow-Serving prediction service to listen on, you need to replace it with an accessible port number. In this case, we designate it as 9010 for Alice, 9011 for Bob. __SVC_PORT__ 9010 Alice 9011 Bob __COM_PORT__  is the published port on the host machine which is used for SecretFlow-Serving communication services to listen on, you need to replace it with an accessible port number. In this case, we designate it as 9110 for Alice, 9111 for Bob. __COM_PORT__ 9110 Alice 9111 Bob trace_config_file line is optional. trace_config_file You can also use mirrors at Alibaba Cloud: secretflow-registry.cn-hangzhou.cr.aliyuncs.com/secretflow/serving-anolis8:latestsecretflow-registry.cn-hangzhou.cr.aliyuncs.com/secretflow/serving-anolis8:[tag] secretflow-registry.cn-hangzhou.cr.aliyuncs.com/secretflow/serving-anolis8:latestsecretflow-registry.cn-hangzhou.cr.aliyuncs.com/secretflow/serving-anolis8:[tag] "],[43,"Define an input/output for operator. FieldTypeDescriptionname stringMust be unique among all IOs of the operator.desc stringDescription of the IO FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description name stringMust be unique among all IOs of the operator.desc stringDescription of the IO name stringMust be unique among all IOs of the operator. name name  string  string  string  string Must be unique among all IOs of the operator. Must be unique among all IOs of the operator. desc stringDescription of the IO desc desc  string  string  string  string Description of the IO Description of the IO  "],[142,"Description for a joined party FieldTypeDescriptionid stringUnique id of the partyaddress stringe.g. 127.0.0.1 commucation adress between paries. FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description id stringUnique id of the partyaddress stringe.g. 127.0.0.1 commucation adress between paries. id stringUnique id of the party id id  string  string  string  string Unique id of the party Unique id of the party address stringe.g. 127.0.0.1 commucation adress between paries. address address  string  string  string  string e.g. 127.0.0.1 commucation adress between paries. e.g. 127.0.0.1 commucation adress between paries.  "],[140,"Description for channels between joined parties FieldTypeDescriptionprotocol stringhttps://github.com/apache/brpc/blob/master/docs/en/client.md#protocolsrpc_timeout_ms int32Max duration of RPC. -1 means wait indefinitely. Default: 2000 (ms)connect_timeout_ms int32Max duration for a connect. -1 means wait indefinitely. Default: 500 (ms)tls_config TlsConfigTLS related config.handshake_max_retry_cnt int32When the server starts, model information from all parties will be collected. At this time, the remote servers may not have started yet, and we need to retry. And if we connect gateway,the max waiting time for each operation will be rpc_timeout_ms + handshake_retry_interval_ms. Maximum number of retries, default: 60handshake_retry_interval_ms int32time between retries, default: 5000msretry_policy_config RetryPolicyConfigretry policy config FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description protocol stringhttps://github.com/apache/brpc/blob/master/docs/en/client.md#protocolsrpc_timeout_ms int32Max duration of RPC. -1 means wait indefinitely. Default: 2000 (ms)connect_timeout_ms int32Max duration for a connect. -1 means wait indefinitely. Default: 500 (ms)tls_config TlsConfigTLS related config.handshake_max_retry_cnt int32When the server starts, model information from all parties will be collected. At this time, the remote servers may not have started yet, and we need to retry. And if we connect gateway,the max waiting time for each operation will be rpc_timeout_ms + handshake_retry_interval_ms. Maximum number of retries, default: 60handshake_retry_interval_ms int32time between retries, default: 5000msretry_policy_config RetryPolicyConfigretry policy config protocol stringhttps://github.com/apache/brpc/blob/master/docs/en/client.md#protocols protocol protocol  string  string  string  string https://github.com/apache/brpc/blob/master/docs/en/client.md#protocols https://github.com/apache/brpc/blob/master/docs/en/client.md#protocols https://github.com/apache/brpc/blob/master/docs/en/client.md#protocols rpc_timeout_ms int32Max duration of RPC. -1 means wait indefinitely. Default: 2000 (ms) rpc_timeout_ms rpc_timeout_ms  int32  int32  int32  int32 Max duration of RPC. -1 means wait indefinitely. Default: 2000 (ms) Max duration of RPC. -1 means wait indefinitely. Default: 2000 (ms) connect_timeout_ms int32Max duration for a connect. -1 means wait indefinitely. Default: 500 (ms) connect_timeout_ms connect_timeout_ms  int32  int32  int32  int32 Max duration for a connect. -1 means wait indefinitely. Default: 500 (ms) Max duration for a connect. -1 means wait indefinitely. Default: 500 (ms) tls_config TlsConfigTLS related config. tls_config tls_config  TlsConfig  TlsConfig  TlsConfig TLS related config. TLS related config. handshake_max_retry_cnt int32When the server starts, model information from all parties will be collected. At this time, the remote servers may not have started yet, and we need to retry. And if we connect gateway,the max waiting time for each operation will be rpc_timeout_ms + handshake_retry_interval_ms. Maximum number of retries, default: 60 handshake_max_retry_cnt handshake_max_retry_cnt  int32  int32  int32  int32 When the server starts, model information from all parties will be collected. At this time, the remote servers may not have started yet, and we need to retry. And if we connect gateway,the max waiting time for each operation will be rpc_timeout_ms + handshake_retry_interval_ms. Maximum number of retries, default: 60 When the server starts, model information from all parties will be collected. At this time, the remote servers may not have started yet, and we need to retry. And if we connect gateway,the max waiting time for each operation will be rpc_timeout_ms + handshake_retry_interval_ms. Maximum number of retries, default: 60 handshake_retry_interval_ms int32time between retries, default: 5000ms handshake_retry_interval_ms handshake_retry_interval_ms  int32  int32  int32  int32 time between retries, default: 5000ms time between retries, default: 5000ms retry_policy_config RetryPolicyConfigretry policy config retry_policy_config retry_policy_config  RetryPolicyConfig  RetryPolicyConfig  RetryPolicyConfig retry policy config retry policy config  "],[94,"Descriptive feature source FieldTypeDescriptiontype FeatureSourceTypeIdentifies the source type of the featuresfs_param secretflow.serving.FeatureParamCustom parameter for fetch features from feature service or other systems. Valid when type==FeatureSourceType::FS_SERVICEpredefinedsrepeated secretflow.serving.FeatureDefined features. Valid when type==FeatureSourceType::FS_PREDEFINED FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description type FeatureSourceTypeIdentifies the source type of the featuresfs_param secretflow.serving.FeatureParamCustom parameter for fetch features from feature service or other systems. Valid when type==FeatureSourceType::FS_SERVICEpredefinedsrepeated secretflow.serving.FeatureDefined features. Valid when type==FeatureSourceType::FS_PREDEFINED type FeatureSourceTypeIdentifies the source type of the features type type  FeatureSourceType  FeatureSourceType  FeatureSourceType Identifies the source type of the features Identifies the source type of the features fs_param secretflow.serving.FeatureParamCustom parameter for fetch features from feature service or other systems. Valid when type==FeatureSourceType::FS_SERVICE fs_param fs_param  secretflow.serving.FeatureParam  secretflow.serving.FeatureParam  secretflow.serving.FeatureParam Custom parameter for fetch features from feature service or other systems. Valid when type==FeatureSourceType::FS_SERVICE Custom parameter for fetch features from feature service or other systems. Valid when type==FeatureSourceType::FS_SERVICE type==FeatureSourceType::FS_SERVICE predefinedsrepeated secretflow.serving.FeatureDefined features. Valid when type==FeatureSourceType::FS_PREDEFINED predefineds predefineds repeated secretflow.serving.Feature repeated secretflow.serving.Feature repeated secretflow.serving.Feature Defined features. Valid when type==FeatureSourceType::FS_PREDEFINED Defined features. Valid when type==FeatureSourceType::FS_PREDEFINED type==FeatureSourceType::FS_PREDEFINED  "],[150,"empty by design  "],[270,"Every line of the trace log file is a ResourceSpans in json format. ResourceSpans  Since TraceId and SpanId are defined as bytes in proto file,\nso if you want to view the real value, you need to do the following conversion: TraceId SpanId bytes proto file  "],[90,"Execute request containing one or more requests. FieldTypeDescriptionheader HeaderCustom data. The header will be passed to the downstream system which implement the feature service spi.requester_id stringRepresents the id of the requesting partyservice_spec ServiceSpecModel service specification.session_id stringRepresents the session of this execute.feature_source FeatureSourcenonetask ExecutionTasknone FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description header HeaderCustom data. The header will be passed to the downstream system which implement the feature service spi.requester_id stringRepresents the id of the requesting partyservice_spec ServiceSpecModel service specification.session_id stringRepresents the session of this execute.feature_source FeatureSourcenonetask ExecutionTasknone header HeaderCustom data. The header will be passed to the downstream system which implement the feature service spi. header header  Header  Header  Header Custom data. The header will be passed to the downstream system which implement the feature service spi. Custom data. The header will be passed to the downstream system which implement the feature service spi. requester_id stringRepresents the id of the requesting party requester_id requester_id  string  string  string  string Represents the id of the requesting party Represents the id of the requesting party service_spec ServiceSpecModel service specification. service_spec service_spec  ServiceSpec  ServiceSpec  ServiceSpec Model service specification. Model service specification. session_id stringRepresents the session of this execute. session_id session_id  string  string  string  string Represents the session of this execute. Represents the session of this execute. feature_source FeatureSourcenone feature_source feature_source  FeatureSource  FeatureSource  FeatureSource none none task ExecutionTasknone task task  ExecutionTask  ExecutionTask  ExecutionTask none none  "],[93,"Execute request task. FieldTypeDescriptionexecution_id int32Specified the execution id.nodesrepeated NodeIonone FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description execution_id int32Specified the execution id.nodesrepeated NodeIonone execution_id int32Specified the execution id. execution_id execution_id  int32  int32  int32  int32 Specified the execution id. Specified the execution id. nodesrepeated NodeIonone nodes nodes repeated NodeIo repeated NodeIo repeated NodeIo none none  "],[91,"Execute response containing one or more responses. FieldTypeDescriptionheader HeaderCustom data. Passed by the downstream system which implement the feature service spi.status StatusStaus of this response.service_spec ServiceSpecModel service specification.session_id stringRepresents the session of this execute.result ExecuteResultnone FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description header HeaderCustom data. Passed by the downstream system which implement the feature service spi.status StatusStaus of this response.service_spec ServiceSpecModel service specification.session_id stringRepresents the session of this execute.result ExecuteResultnone header HeaderCustom data. Passed by the downstream system which implement the feature service spi. header header  Header  Header  Header Custom data. Passed by the downstream system which implement the feature service spi. Custom data. Passed by the downstream system which implement the feature service spi. status StatusStaus of this response. status status  Status  Status  Status Staus of this response. Staus of this response. service_spec ServiceSpecModel service specification. service_spec service_spec  ServiceSpec  ServiceSpec  ServiceSpec Model service specification. Model service specification. session_id stringRepresents the session of this execute. session_id session_id  string  string  string  string Represents the session of this execute. Represents the session of this execute. result ExecuteResultnone result result  ExecuteResult  ExecuteResult  ExecuteResult none none  "],[92,"Execute result of the request task. FieldTypeDescriptionexecution_id int32Specified the execution id.nodesrepeated NodeIonone FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description execution_id int32Specified the execution id.nodesrepeated NodeIonone execution_id int32Specified the execution id. execution_id execution_id  int32  int32  int32  int32 Specified the execution id. Specified the execution id. nodesrepeated NodeIonone nodes nodes repeated NodeIo repeated NodeIo repeated NodeIo none none  "],[180,"Execution contain a subset of nodes from the main graph and form a subgraph. They represent the model computation scheduling patterns. A graph can have multiple executions.   "],[78,"ExecutionService provides access to run execution defined in the GraphDef. "],[161,"FieldTypeDescriptioncertificate_path stringCertificate file pathprivate_key_path stringPrivate key file pathca_file_path stringThe trusted CA file to verify the peer’s certificate If empty, turn off the verification FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description certificate_path stringCertificate file pathprivate_key_path stringPrivate key file pathca_file_path stringThe trusted CA file to verify the peer’s certificate If empty, turn off the verification certificate_path stringCertificate file path certificate_path certificate_path  string  string  string  string Certificate file path Certificate file path private_key_path stringPrivate key file path private_key_path private_key_path  string  string  string  string Private key file path Private key file path ca_file_path stringThe trusted CA file to verify the peer’s certificate If empty, turn off the verification ca_file_path ca_file_path  string  string  string  string The trusted CA file to verify the peer’s certificate If empty, turn off the verification The trusted CA file to verify the peer’s certificate If empty, turn off the verification  "],[151,"FieldTypeDescriptionconnect_timeout_ms int32Max duration for a connect. -1 means wait indefinitely. Default: 60 * 1000 (ms)timeout_ms int32Max duration of http request. -1 means wait indefinitely. Default: 120 * 1000 (ms)tls_config TlsConfigTLS related config. FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description connect_timeout_ms int32Max duration for a connect. -1 means wait indefinitely. Default: 60 * 1000 (ms)timeout_ms int32Max duration of http request. -1 means wait indefinitely. Default: 120 * 1000 (ms)tls_config TlsConfigTLS related config. connect_timeout_ms int32Max duration for a connect. -1 means wait indefinitely. Default: 60 * 1000 (ms) connect_timeout_ms connect_timeout_ms  int32  int32  int32  int32 Max duration for a connect. -1 means wait indefinitely. Default: 60 * 1000 (ms) Max duration for a connect. -1 means wait indefinitely. Default: 60 * 1000 (ms) timeout_ms int32Max duration of http request. -1 means wait indefinitely. Default: 120 * 1000 (ms) timeout_ms timeout_ms  int32  int32  int32  int32 Max duration of http request. -1 means wait indefinitely. Default: 120 * 1000 (ms) Max duration of http request. -1 means wait indefinitely. Default: 120 * 1000 (ms) tls_config TlsConfigTLS related config. tls_config tls_config  TlsConfig  TlsConfig  TlsConfig TLS related config. TLS related config.  "],[60,"FieldTypeDescriptiondata_id int32none FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description data_id int32none data_id int32none data_id data_id  int32  int32  int32  int32 none none  "],[65,"FieldTypeDescriptiondata_id int32none FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description data_id int32none data_id int32none data_id data_id  int32  int32  int32  int32 none none  "],[36,"FieldTypeDescriptiondatarepeated boolnone FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description datarepeated boolnone datarepeated boolnone data data repeated bool repeated bool repeated bool repeated bool none none  "],[37,"FieldTypeDescriptiondatarepeated bytesnone FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description datarepeated bytesnone datarepeated bytesnone data data repeated bytes repeated bytes repeated bytes repeated bytes none none  "],[38,"FieldTypeDescriptiondatarepeated doublenone FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description datarepeated doublenone datarepeated doublenone data data repeated double repeated double repeated double repeated double none none  "],[39,"FieldTypeDescriptiondatarepeated floatnone FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description datarepeated floatnone datarepeated floatnone data data repeated float repeated float repeated float repeated float none none  "],[40,"FieldTypeDescriptiondatarepeated int32none FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description datarepeated int32none datarepeated int32none data data repeated int32 repeated int32 repeated int32 repeated int32 none none  "],[41,"FieldTypeDescriptiondatarepeated int64none FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description datarepeated int64none datarepeated int64none data data repeated int64 repeated int64 repeated int64 repeated int64 none none  "],[42,"FieldTypeDescriptiondatarepeated stringnone FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description datarepeated stringnone datarepeated stringnone data data repeated string repeated string repeated string repeated string none none  "],[149,"FieldTypeDescriptiondm_host stringdatamesh host.tls_config TlsConfigTLS related config. FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description dm_host stringdatamesh host.tls_config TlsConfigTLS related config. dm_host stringdatamesh host. dm_host dm_host  string  string  string  string datamesh host. datamesh host. tls_config TlsConfigTLS related config. tls_config tls_config  TlsConfig  TlsConfig  TlsConfig TLS related config. TLS related config.  "],[158,"FieldTypeDescriptionfeature_mappingmap ServerConfig.FeatureMappingEntryOptional. Feature name mapping rules. Key: source or predefined feature name. Value: model feature name.tls_config TlsConfigWhether to enable tls for serverhost stringe.g. 192.168.2.51service_port int32The port used for model predict service. Default: disable servicecommunication_port int32The port used for communication between parties serving.brpc_builtin_service_port int32Brpc builtin service listen port. Default: disable servicemetrics_exposer_port int32/metrics service listen port. Default: disable serviceworker_num int32Number of pthreads that server runs on. If this option <= 0, use default value. Default: #cpu-coresmax_concurrency int32Server-level max number of requests processed in parallel. Default: 0 (unlimited)op_exec_worker_num int32Number of pthreads that server runs to execute ops. If this option <= 0, use default value. Default: #cpu-cores FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description feature_mappingmap ServerConfig.FeatureMappingEntryOptional. Feature name mapping rules. Key: source or predefined feature name. Value: model feature name.tls_config TlsConfigWhether to enable tls for serverhost stringe.g. 192.168.2.51service_port int32The port used for model predict service. Default: disable servicecommunication_port int32The port used for communication between parties serving.brpc_builtin_service_port int32Brpc builtin service listen port. Default: disable servicemetrics_exposer_port int32/metrics service listen port. Default: disable serviceworker_num int32Number of pthreads that server runs on. If this option <= 0, use default value. Default: #cpu-coresmax_concurrency int32Server-level max number of requests processed in parallel. Default: 0 (unlimited)op_exec_worker_num int32Number of pthreads that server runs to execute ops. If this option <= 0, use default value. Default: #cpu-cores feature_mappingmap ServerConfig.FeatureMappingEntryOptional. Feature name mapping rules. Key: source or predefined feature name. Value: model feature name. feature_mapping feature_mapping map ServerConfig.FeatureMappingEntry map ServerConfig.FeatureMappingEntry map ServerConfig.FeatureMappingEntry map ServerConfig.FeatureMappingEntry Optional. Feature name mapping rules. Key: source or predefined feature name. Value: model feature name. Optional. Feature name mapping rules. Key: source or predefined feature name. Value: model feature name. tls_config TlsConfigWhether to enable tls for server tls_config tls_config  TlsConfig  TlsConfig  TlsConfig Whether to enable tls for server Whether to enable tls for server host stringe.g. 192.168.2.51 host host  string  string  string  string e.g. 192.168.2.51 e.g. 192.168.2.51 service_port int32The port used for model predict service. Default: disable service service_port service_port  int32  int32  int32  int32 The port used for model predict service. Default: disable service The port used for model predict service. Default: disable service communication_port int32The port used for communication between parties serving. communication_port communication_port  int32  int32  int32  int32 The port used for communication between parties serving. The port used for communication between parties serving. brpc_builtin_service_port int32Brpc builtin service listen port. Default: disable service brpc_builtin_service_port brpc_builtin_service_port  int32  int32  int32  int32 Brpc builtin service listen port. Default: disable service Brpc builtin service listen port. Default: disable service metrics_exposer_port int32/metrics service listen port. Default: disable service metrics_exposer_port metrics_exposer_port  int32  int32  int32  int32 /metrics service listen port. Default: disable service /metrics service listen port. Default: disable service /metrics worker_num int32Number of pthreads that server runs on. If this option <= 0, use default value. Default: #cpu-cores worker_num worker_num  int32  int32  int32  int32 Number of pthreads that server runs on. If this option <= 0, use default value. Default: #cpu-cores Number of pthreads that server runs on. If this option <= 0, use default value. Default: #cpu-cores max_concurrency int32Server-level max number of requests processed in parallel. Default: 0 (unlimited) max_concurrency max_concurrency  int32  int32  int32  int32 Server-level max number of requests processed in parallel. Default: 0 (unlimited) Server-level max number of requests processed in parallel. Default: 0 (unlimited) op_exec_worker_num int32Number of pthreads that server runs to execute ops. If this option <= 0, use default value. Default: #cpu-cores op_exec_worker_num op_exec_worker_num  int32  int32  int32  int32 Number of pthreads that server runs to execute ops. If this option <= 0, use default value. Default: #cpu-cores Number of pthreads that server runs to execute ops. If this option <= 0, use default value. Default: #cpu-cores  "],[99,"FieldTypeDescriptionheader HeaderCustom data.service_spec ServiceSpecModel service specification. FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description header HeaderCustom data.service_spec ServiceSpecModel service specification. header HeaderCustom data. header header  Header  Header  Header Custom data. Custom data. service_spec ServiceSpecModel service specification. service_spec service_spec  ServiceSpec  ServiceSpec  ServiceSpec Model service specification. Model service specification.  "],[100,"FieldTypeDescriptionheader HeaderCustom data.status StatusStaus of this response.service_spec ServiceSpecModel service specification.model_info secretflow.serving.ModelInfonone FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description header HeaderCustom data.status StatusStaus of this response.service_spec ServiceSpecModel service specification.model_info secretflow.serving.ModelInfonone header HeaderCustom data. header header  Header  Header  Header Custom data. Custom data. status StatusStaus of this response. status status  Status  Status  Status Staus of this response. Staus of this response. service_spec ServiceSpecModel service specification. service_spec service_spec  ServiceSpec  ServiceSpec  ServiceSpec Model service specification. Model service specification. model_info secretflow.serving.ModelInfonone model_info model_info  secretflow.serving.ModelInfo  secretflow.serving.ModelInfo  secretflow.serving.ModelInfo  secretflow.serving.ModelInfo none none  "],[154,"FieldTypeDescriptioninit_ms int32The initial backoff time in milliseconds, default 10ms.factor int32The backoff time increase factor, should be greater than 1, default 2. FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description init_ms int32The initial backoff time in milliseconds, default 10ms.factor int32The backoff time increase factor, should be greater than 1, default 2. init_ms int32The initial backoff time in milliseconds, default 10ms. init_ms init_ms  int32  int32  int32  int32 The initial backoff time in milliseconds, default 10ms. The initial backoff time in milliseconds, default 10ms. factor int32The backoff time increase factor, should be greater than 1, default 2. factor factor  int32  int32  int32  int32 The backoff time increase factor, should be greater than 1, default 2. The backoff time increase factor, should be greater than 1, default 2.  "],[155,"FieldTypeDescriptioninterval_ms int32The backoff time between each retry, in milliseconds, default 10ms. FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description interval_ms int32The backoff time between each retry, in milliseconds, default 10ms. interval_ms int32The backoff time between each retry, in milliseconds, default 10ms. interval_ms interval_ms  int32  int32  int32  int32 The backoff time between each retry, in milliseconds, default 10ms. The backoff time between each retry, in milliseconds, default 10ms.  "],[52,"FieldTypeDescriptionkey stringnonevalue op.AttrValuenone FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description key stringnonevalue op.AttrValuenone key stringnone key key  string  string  string  string none none value op.AttrValuenone value value  op.AttrValue  op.AttrValue  op.AttrValue none none  "],[102,"FieldTypeDescriptionkey stringnonevalue secretflow.serving.FeatureParamnone FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description key stringnonevalue secretflow.serving.FeatureParamnone key stringnone key key  string  string  string  string none none value secretflow.serving.FeatureParamnone value value  secretflow.serving.FeatureParam  secretflow.serving.FeatureParam  secretflow.serving.FeatureParam none none  "],[20,"FieldTypeDescriptionkey stringnonevalue stringnone FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description key stringnonevalue stringnone key stringnone key key  string  string  string  string none none value stringnone value value  string  string  string  string none none  "],[88,"FieldTypeDescriptionkey stringnonevalue stringnone FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description key stringnonevalue stringnone key stringnone key key  string  string  string  string none none value stringnone value value  string  string  string  string none none  "],[159,"FieldTypeDescriptionkey stringnonevalue stringnone FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description key stringnonevalue stringnone key stringnone key key  string  string  string  string none none value stringnone value value  string  string  string  string none none  "],[156,"FieldTypeDescriptionmin_ms int32The minimum backoff time in milliseconds, default 10ms.max_ms int32The maximum backoff time in milliseconds, default 50ms. FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description min_ms int32The minimum backoff time in milliseconds, default 10ms.max_ms int32The maximum backoff time in milliseconds, default 50ms. min_ms int32The minimum backoff time in milliseconds, default 10ms. min_ms min_ms  int32  int32  int32  int32 The minimum backoff time in milliseconds, default 10ms. The minimum backoff time in milliseconds, default 10ms. max_ms int32The maximum backoff time in milliseconds, default 50ms. max_ms max_ms  int32  int32  int32  int32 The maximum backoff time in milliseconds, default 50ms. The maximum backoff time in milliseconds, default 50ms.  "],[61,"FieldTypeDescriptionname stringThe Function name.option_bytes bytesThe serialized function options.inputsrepeated FunctionInputInputs of this function.output FunctionOutputOutput of this function. FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description name stringThe Function name.option_bytes bytesThe serialized function options.inputsrepeated FunctionInputInputs of this function.output FunctionOutputOutput of this function. name stringThe Function name. name name  string  string  string  string The Function name. The Function name. option_bytes bytesThe serialized function options. option_bytes option_bytes  bytes  bytes  bytes  bytes The serialized function options. The serialized function options. inputsrepeated FunctionInputInputs of this function. inputs inputs repeated FunctionInput repeated FunctionInput repeated FunctionInput Inputs of this function. Inputs of this function. output FunctionOutputOutput of this function. output output  FunctionOutput  FunctionOutput  FunctionOutput Output of this function. Output of this function.  "],[66,"FieldTypeDescriptionname stringThe Function name.option_bytes bytesThe serialized function options.inputsrepeated FunctionInputInputs of this function.output FunctionOutputOutput of this function. FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description name stringThe Function name.option_bytes bytesThe serialized function options.inputsrepeated FunctionInputInputs of this function.output FunctionOutputOutput of this function. name stringThe Function name. name name  string  string  string  string The Function name. The Function name. option_bytes bytesThe serialized function options. option_bytes option_bytes  bytes  bytes  bytes  bytes The serialized function options. The serialized function options. inputsrepeated FunctionInputInputs of this function. inputs inputs repeated FunctionInput repeated FunctionInput repeated FunctionInput Inputs of this function. Inputs of this function. output FunctionOutputOutput of this function. output output  FunctionOutput  FunctionOutput  FunctionOutput Output of this function. Output of this function.  "],[58,"FieldTypeDescriptionname stringThe name of this Compute.func_tracesrepeated FunctionTracenone FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description name stringThe name of this Compute.func_tracesrepeated FunctionTracenone name stringThe name of this Compute. name name  string  string  string  string The name of this Compute. The name of this Compute. func_tracesrepeated FunctionTracenone func_traces func_traces repeated FunctionTrace repeated FunctionTrace repeated FunctionTrace none none  "],[63,"FieldTypeDescriptionname stringThe name of this Compute.func_tracesrepeated FunctionTracenone FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description name stringThe name of this Compute.func_tracesrepeated FunctionTracenone name stringThe name of this Compute. name name  string  string  string  string The name of this Compute. The name of this Compute. func_tracesrepeated FunctionTracenone func_traces func_traces repeated FunctionTrace repeated FunctionTrace repeated FunctionTrace none none  "],[59,"FieldTypeDescriptiononeof value.data_id int32‘0’ means root input dataoneof value.custom_scalar Scalarnone FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description oneof value.data_id int32‘0’ means root input dataoneof value.custom_scalar Scalarnone oneof value.data_id int32‘0’ means root input data oneof value.data_id oneof value.data_id oneof oneof  int32  int32  int32  int32 ‘0’ means root input data ‘0’ means root input data oneof value.custom_scalar Scalarnone oneof value.custom_scalar oneof value.custom_scalar oneof oneof  Scalar  Scalar  Scalar none none  "],[64,"FieldTypeDescriptiononeof value.data_id int32‘0’ means root input dataoneof value.custom_scalar Scalarnone FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description oneof value.data_id int32‘0’ means root input dataoneof value.custom_scalar Scalarnone oneof value.data_id int32‘0’ means root input data oneof value.data_id oneof value.data_id oneof oneof  int32  int32  int32  int32 ‘0’ means root input data ‘0’ means root input data oneof value.custom_scalar Scalarnone oneof value.custom_scalar oneof value.custom_scalar oneof oneof  Scalar  Scalar  Scalar none none  "],[157,"FieldTypeDescriptionretry_custom boolDefault is false, the error code of brpc’s retry strategy is used. If it is True, it will be retried on additional error codes, including some http errors (brpc does not retry http errors by default)retry_aggressive boolWhether to retry on any http or brpc error expect brpc::ERPCTIMEDOUT, default is false.max_retry_count int32The number of retries, default 3.backoff_mode RetryPolicyBackOffModebackoff time mode, default is FIX_BACKOFF.oneof backoff_config.fixed_backoff_config FixedBackOffConfigThe fixed backoff time config.oneof backoff_config.exponential_backoff_config ExponentialBackOffConfigThe exponential backoff time config.oneof backoff_config.random_backoff_config RandomBackOffConfigThe random backoff time config. FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description retry_custom boolDefault is false, the error code of brpc’s retry strategy is used. If it is True, it will be retried on additional error codes, including some http errors (brpc does not retry http errors by default)retry_aggressive boolWhether to retry on any http or brpc error expect brpc::ERPCTIMEDOUT, default is false.max_retry_count int32The number of retries, default 3.backoff_mode RetryPolicyBackOffModebackoff time mode, default is FIX_BACKOFF.oneof backoff_config.fixed_backoff_config FixedBackOffConfigThe fixed backoff time config.oneof backoff_config.exponential_backoff_config ExponentialBackOffConfigThe exponential backoff time config.oneof backoff_config.random_backoff_config RandomBackOffConfigThe random backoff time config. retry_custom boolDefault is false, the error code of brpc’s retry strategy is used. If it is True, it will be retried on additional error codes, including some http errors (brpc does not retry http errors by default) retry_custom retry_custom  bool  bool  bool  bool Default is false, the error code of brpc’s retry strategy is used. If it is True, it will be retried on additional error codes, including some http errors (brpc does not retry http errors by default) Default is false, the error code of brpc’s retry strategy is used. If it is True, it will be retried on additional error codes, including some http errors (brpc does not retry http errors by default) retry_aggressive boolWhether to retry on any http or brpc error expect brpc::ERPCTIMEDOUT, default is false. retry_aggressive retry_aggressive  bool  bool  bool  bool Whether to retry on any http or brpc error expect brpc::ERPCTIMEDOUT, default is false. Whether to retry on any http or brpc error expect brpc::ERPCTIMEDOUT, default is false. max_retry_count int32The number of retries, default 3. max_retry_count max_retry_count  int32  int32  int32  int32 The number of retries, default 3. The number of retries, default 3. backoff_mode RetryPolicyBackOffModebackoff time mode, default is FIX_BACKOFF. backoff_mode backoff_mode  RetryPolicyBackOffMode  RetryPolicyBackOffMode  RetryPolicyBackOffMode backoff time mode, default is FIX_BACKOFF. backoff time mode, default is FIX_BACKOFF. oneof backoff_config.fixed_backoff_config FixedBackOffConfigThe fixed backoff time config. oneof backoff_config.fixed_backoff_config oneof backoff_config.fixed_backoff_config oneof oneof  FixedBackOffConfig  FixedBackOffConfig  FixedBackOffConfig The fixed backoff time config. The fixed backoff time config. oneof backoff_config.exponential_backoff_config ExponentialBackOffConfigThe exponential backoff time config. oneof backoff_config.exponential_backoff_config oneof backoff_config.exponential_backoff_config oneof oneof  ExponentialBackOffConfig  ExponentialBackOffConfig  ExponentialBackOffConfig The exponential backoff time config. The exponential backoff time config. oneof backoff_config.random_backoff_config RandomBackOffConfigThe random backoff time config. oneof backoff_config.random_backoff_config oneof backoff_config.random_backoff_config oneof oneof  RandomBackOffConfig  RandomBackOffConfig  RandomBackOffConfig The random backoff time config. The random backoff time config.  "],[163,"FieldTypeDescriptiontrace_log_path stringdefaule value: “trace.log”max_trace_log_file_size int32Byte. default value: 500 * 1024 * 1024 (500MB)max_trace_log_file_count int32default value: 10 FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description trace_log_path stringdefaule value: “trace.log”max_trace_log_file_size int32Byte. default value: 500 * 1024 * 1024 (500MB)max_trace_log_file_count int32default value: 10 trace_log_path stringdefaule value: “trace.log” trace_log_path trace_log_path  string  string  string  string defaule value: “trace.log” defaule value: “trace.log” max_trace_log_file_size int32Byte. default value: 500 * 1024 * 1024 (500MB) max_trace_log_file_size max_trace_log_file_size  int32  int32  int32  int32 Byte. default value: 500 * 1024 * 1024 (500MB) Byte. default value: 500 * 1024 * 1024 (500MB) max_trace_log_file_count int32default value: 10 max_trace_log_file_count max_trace_log_file_count  int32  int32  int32  int32 default value: 10 default value: 10  "],[2,"Follow the tutorial and try out SecretFlow-Serving on your machine! tutorial "],[279,"For simplicity, assume that the model is just one tree, because the process for prediction is the same for each tree. The participants are Alice and Bob. Alice holds the area data and Bob holds the floor data. During training, the party holding the training data housing prices will hold the weights of all leaf nodes. That is, each holds a part of the tree, as shown below:   When predicting, there will be three operators involved. The first operator TREE_SELECT and TREE_SELECT need to be executed by all parties. The result of the execution is the label array of the leaf node. For each sample, start from the root node of the sub-model and look downwards for the leaf nodes. The search method is: if the feature value of the current node belongs to the participant himself, then select its left child node or right child node according to the the feature value; if the feature value of the current node does not belong to itself, then its left child node and the right child node will be selected, and finally a selection list of all leaf nodes will be obtained. The value of the selected leaf node is 1, otherwise it is 0.\nThe TREE_MERGE operator is executed on the party with the weight of the leaf node. Each party sends the selection list obtained by its TREE_SELECT to this party. It will perform an AND operation on all the selection lists. The leaf node with the result of 1 is unique, then the leaf node’s weight is the result of the operator.\nEach tree corresponds to a TREE_SELECT operator and a TREE_MERGE operator.\nThe aggregation of multiple trees is completed by TREE_ENSEMBLE_PREDICT, and like the linear model, the results can also be calculated by sigmoid. The calculation method of sigmoid here is consistent with the approximation method used during training. The result of TREE_ENSEMBLE_PREDICT is the prediction result.   "],[178,"Graphs can consist of one or multiple nodes. They form a directed acyclic graph, where the direction represents the flow of data computation. A graph can represent a complete prediction computation process, including preprocessing, model prediction, and post-processing. Each participant will have a graph with the same structure but different data。 "],[19,"Header containing custom data FieldTypeDescriptiondatamap Header.DataEntrynone FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description datamap Header.DataEntrynone datamap Header.DataEntrynone data data map Header.DataEntry map Header.DataEntry map Header.DataEntry map Header.DataEntry none none  "],[87,"Header containing custom data FieldTypeDescriptiondatamap Header.DataEntrynone FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description datamap Header.DataEntrynone datamap Header.DataEntrynone data data map Header.DataEntry map Header.DataEntry map Header.DataEntry map Header.DataEntry none none  "],[286,"Here we present how to deploy serving in party Alice, it’s same with party Bob. Alice Bob "],[292,"Here, we’ll use starting Alice’s service as an example. Similarly, you will also need to start the services for the other prediction participants. The file your workspace should be as follows, trace.config is optional: trace.config  Then you can start serving service by running docker compose up.  You can use docker logs to check whether serving works well  Now, Alice prediction serving is listening on 9010, you can confirm if the service is ready by accessing the /health endpoint. Alice 9010 /health  When the endpoint returns a status code of 200, it means that the service is ready. 200 The Secretflow-Serving cluster can start providing model prediction services only after all participants’ services have been started and are ready. The Secretflow-Serving cluster can start providing model prediction services only after all participants’ services have been started and are ready. "],[183,"Last update: Tue Nov 19 17:28 2024 "],[72,"Mapping arrow::DataType\nhttps://arrow.apache.org/docs/cpp/api/datatype.html. https://arrow.apache.org/docs/cpp/api/datatype.html NameNumberDescriptionUNKNOWN_DT_TYPE0Placeholder for proto3 default value, do not use it.DT_BOOL1Boolean as 1 bit, LSB bit-packed ordering.DT_UINT82Unsigned 8-bit little-endian integer.DT_INT83Signed 8-bit little-endian integer.DT_UINT164Unsigned 16-bit little-endian integer.DT_INT165Signed 16-bit little-endian integer.DT_UINT326Unsigned 32-bit little-endian integer.DT_INT327Signed 32-bit little-endian integer.DT_UINT648Unsigned 64-bit little-endian integer.DT_INT649Signed 64-bit little-endian integer.DT_FLOAT114-byte floating point valueDT_DOUBLE128-byte floating point valueDT_STRING13UTF8 variable-length string as ListDT_BINARY14Variable-length bytes (no guarantee of UTF8-ness) NameNumberDescription NameNumberDescription Name Name Number Number Description Description UNKNOWN_DT_TYPE0Placeholder for proto3 default value, do not use it.DT_BOOL1Boolean as 1 bit, LSB bit-packed ordering.DT_UINT82Unsigned 8-bit little-endian integer.DT_INT83Signed 8-bit little-endian integer.DT_UINT164Unsigned 16-bit little-endian integer.DT_INT165Signed 16-bit little-endian integer.DT_UINT326Unsigned 32-bit little-endian integer.DT_INT327Signed 32-bit little-endian integer.DT_UINT648Unsigned 64-bit little-endian integer.DT_INT649Signed 64-bit little-endian integer.DT_FLOAT114-byte floating point valueDT_DOUBLE128-byte floating point valueDT_STRING13UTF8 variable-length string as ListDT_BINARY14Variable-length bytes (no guarantee of UTF8-ness) UNKNOWN_DT_TYPE0Placeholder for proto3 default value, do not use it. UNKNOWN_DT_TYPE UNKNOWN_DT_TYPE 0 0 Placeholder for proto3 default value, do not use it. Placeholder for proto3 default value, do not use it. DT_BOOL1Boolean as 1 bit, LSB bit-packed ordering. DT_BOOL DT_BOOL 1 1 Boolean as 1 bit, LSB bit-packed ordering. Boolean as 1 bit, LSB bit-packed ordering. DT_UINT82Unsigned 8-bit little-endian integer. DT_UINT8 DT_UINT8 2 2 Unsigned 8-bit little-endian integer. Unsigned 8-bit little-endian integer. DT_INT83Signed 8-bit little-endian integer. DT_INT8 DT_INT8 3 3 Signed 8-bit little-endian integer. Signed 8-bit little-endian integer. DT_UINT164Unsigned 16-bit little-endian integer. DT_UINT16 DT_UINT16 4 4 Unsigned 16-bit little-endian integer. Unsigned 16-bit little-endian integer. DT_INT165Signed 16-bit little-endian integer. DT_INT16 DT_INT16 5 5 Signed 16-bit little-endian integer. Signed 16-bit little-endian integer. DT_UINT326Unsigned 32-bit little-endian integer. DT_UINT32 DT_UINT32 6 6 Unsigned 32-bit little-endian integer. Unsigned 32-bit little-endian integer. DT_INT327Signed 32-bit little-endian integer. DT_INT32 DT_INT32 7 7 Signed 32-bit little-endian integer. Signed 32-bit little-endian integer. DT_UINT648Unsigned 64-bit little-endian integer. DT_UINT64 DT_UINT64 8 8 Unsigned 64-bit little-endian integer. Unsigned 64-bit little-endian integer. DT_INT649Signed 64-bit little-endian integer. DT_INT64 DT_INT64 9 9 Signed 64-bit little-endian integer. Signed 64-bit little-endian integer. DT_FLOAT114-byte floating point value DT_FLOAT DT_FLOAT 11 11 4-byte floating point value 4-byte floating point value DT_DOUBLE128-byte floating point value DT_DOUBLE DT_DOUBLE 12 12 8-byte floating point value 8-byte floating point value DT_STRING13UTF8 variable-length string as List DT_STRING DT_STRING 13 13 UTF8 variable-length string as List UTF8 variable-length string as List  DT_BINARY14Variable-length bytes (no guarantee of UTF8-ness) DT_BINARY DT_BINARY 14 14 Variable-length bytes (no guarantee of UTF8-ness) Variable-length bytes (no guarantee of UTF8-ness)  "],[89,"Metadata for an predict or execute request. FieldTypeDescriptionid stringThe id of the model service. FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description id stringThe id of the model service. id stringThe id of the model service. id id  string  string  string  string The id of the model service. The id of the model service.  "],[82,"ModelService provides operation ralated to models. "],[208,"NameDescription*argsvariable inputs, accept tree’s weights NameDescription NameDescription Name Name Description Description *argsvariable inputs, accept tree’s weights *argsvariable inputs, accept tree’s weights *args *args variable inputs, accept tree’s weights variable inputs, accept tree’s weights "],[221,"NameDescription*argsvariable inputs, accept tree’s weights NameDescription NameDescription Name Name Description Description *argsvariable inputs, accept tree’s weights *argsvariable inputs, accept tree’s weights *args *args variable inputs, accept tree’s weights variable inputs, accept tree’s weights "],[236,"NameDescriptioncompute resultsThe compute results from both self and peer’s NameDescription NameDescription Name Name Description Description compute resultsThe compute results from both self and peer’s compute resultsThe compute results from both self and peer’s compute results compute results The compute results from both self and peer’s The compute results from both self and peer’s "],[212,"NameDescriptioncrypted_dataInput feature table NameDescription NameDescription Name Name Description Description crypted_dataInput feature table crypted_dataInput feature table crypted_data crypted_data Input feature table Input feature table "],[226,"NameDescriptioncrypted_dataThe crypted data selected by PHE_2P_REDUCEdecrypted_dataThe decrypted data output by PHE_2P_DECRYPT_PEER_Y NameDescription NameDescription Name Name Description Description crypted_dataThe crypted data selected by PHE_2P_REDUCEdecrypted_dataThe decrypted data output by PHE_2P_DECRYPT_PEER_Y crypted_dataThe crypted data selected by PHE_2P_REDUCE crypted_data crypted_data The crypted data selected by PHE_2P_REDUCE The crypted data selected by PHE_2P_REDUCE PHE_2P_REDUCE decrypted_dataThe decrypted data output by PHE_2P_DECRYPT_PEER_Y decrypted_data decrypted_data The decrypted data output by PHE_2P_DECRYPT_PEER_Y The decrypted data output by PHE_2P_DECRYPT_PEER_Y PHE_2P_DECRYPT_PEER_Y "],[213,"NameDescriptiondecrypted_dataDecrypted partial_y with the added random number. NameDescription NameDescription Name Name Description Description decrypted_dataDecrypted partial_y with the added random number. decrypted_dataDecrypted partial_y with the added random number. decrypted_data decrypted_data Decrypted partial_y with the added random number. Decrypted partial_y with the added random number. "],[186,"NameDescriptionfeaturesInput feature table NameDescription NameDescription Name Name Description Description featuresInput feature table featuresInput feature table features features Input feature table Input feature table "],[190,"NameDescriptionfeaturesInput feature table NameDescription NameDescription Name Name Description Description featuresInput feature table featuresInput feature table features features Input feature table Input feature table "],[203,"NameDescriptionfeaturesInput feature table NameDescription NameDescription Name Name Description Description featuresInput feature table featuresInput feature table features features Input feature table Input feature table "],[199,"NameDescriptionfeaturesInput features NameDescription NameDescription Name Name Description Description featuresInput features featuresInput features features features Input features Input features "],[195,"NameDescriptioninput NameDescription NameDescription Name Name Description Description input input input input  "],[230,"NameDescriptionmergeableThe operator accept the output of operators with different participants and will somehow merge them. NameDescription NameDescription Name Name Description Description mergeableThe operator accept the output of operators with different participants and will somehow merge them. mergeableThe operator accept the output of operators with different participants and will somehow merge them. mergeable mergeable The operator accept the output of operators with different participants and will somehow merge them. The operator accept the output of operators with different participants and will somehow merge them. "],[235,"NameDescriptionmergeableThe operator accept the output of operators with different participants and will somehow merge them. NameDescription NameDescription Name Name Description Description mergeableThe operator accept the output of operators with different participants and will somehow merge them. mergeableThe operator accept the output of operators with different participants and will somehow merge them. mergeable mergeable The operator accept the output of operators with different participants and will somehow merge them. The operator accept the output of operators with different participants and will somehow merge them. "],[245,"NameDescriptionmergeableThe operator accept the output of operators with different participants and will somehow merge them. NameDescription NameDescription Name Name Description Description mergeableThe operator accept the output of operators with different participants and will somehow merge them. mergeableThe operator accept the output of operators with different participants and will somehow merge them. mergeable mergeable The operator accept the output of operators with different participants and will somehow merge them. The operator accept the output of operators with different participants and will somehow merge them. "],[222,"NameDescriptionmerged_raw_scoreThe merged raw result of tree ensemble. NameDescription NameDescription Name Name Description Description merged_raw_scoreThe merged raw result of tree ensemble. merged_raw_scoreThe merged raw result of tree ensemble. merged_raw_score merged_raw_score The merged raw result of tree ensemble. The merged raw result of tree ensemble. "],[196,"NameDescriptionoutput NameDescription NameDescription Name Name Description Description output output output output  "],[200,"NameDescriptionpartial_yCalculation results NameDescription NameDescription Name Name Description Description partial_yCalculation results partial_yCalculation results partial_y partial_y Calculation results Calculation results "],[204,"NameDescriptionpartial_ysThe calculation results, they have a data type of double. NameDescription NameDescription Name Name Description Description partial_ysThe calculation results, they have a data type of double. partial_ysThe calculation results, they have a data type of double. partial_ys partial_ys The calculation results, they have a data type of double. The calculation results, they have a data type of double. double "],[217,"NameDescriptionpartial_ysThe list of partial y, data type: double NameDescription NameDescription Name Name Description Description partial_ysThe list of partial y, data type: double partial_ysThe list of partial y, data type: double partial_ys partial_ys The list of partial y, data type: double The list of partial y, data type: double double "],[241,"NameDescriptionraw_scoreThe encryped raw score of the tree ensemble NameDescription NameDescription Name Name Description Description raw_scoreThe encryped raw score of the tree ensemble raw_scoreThe encryped raw score of the tree ensemble raw_score raw_score The encryped raw score of the tree ensemble The encryped raw score of the tree ensemble "],[194,"NameDescriptionreturnableThe operator’s output can be the final result NameDescription NameDescription Name Name Description Description returnableThe operator’s output can be the final result returnableThe operator’s output can be the final result returnable returnable The operator’s output can be the final result The operator’s output can be the final result "],[207,"NameDescriptionreturnableThe operator’s output can be the final result NameDescription NameDescription Name Name Description Description returnableThe operator’s output can be the final result returnableThe operator’s output can be the final result returnable returnable The operator’s output can be the final result The operator’s output can be the final result "],[225,"NameDescriptionreturnableThe operator’s output can be the final result NameDescription NameDescription Name Name Description Description returnableThe operator’s output can be the final result returnableThe operator’s output can be the final result returnable returnable The operator’s output can be the final result The operator’s output can be the final result "],[240,"NameDescriptionreturnableThe operator’s output can be the final result NameDescription NameDescription Name Name Description Description returnableThe operator’s output can be the final result returnableThe operator’s output can be the final result returnable returnable The operator’s output can be the final result The operator’s output can be the final result "],[216,"NameDescriptionreturnableThe operator’s output can be the final resultmergeableThe operator accept the output of operators with different participants and will somehow merge them. NameDescription NameDescription Name Name Description Description returnableThe operator’s output can be the final resultmergeableThe operator accept the output of operators with different participants and will somehow merge them. returnableThe operator’s output can be the final result returnable returnable The operator’s output can be the final result The operator’s output can be the final result mergeableThe operator accept the output of operators with different participants and will somehow merge them. mergeable mergeable The operator accept the output of operators with different participants and will somehow merge them. The operator accept the output of operators with different participants and will somehow merge them. "],[218,"NameDescriptionscoresThe merge result of partial_ys, data type: double NameDescription NameDescription Name Name Description Description scoresThe merge result of partial_ys, data type: double scoresThe merge result of partial_ys, data type: double scores scores The merge result of partial_ys, data type: double The merge result of partial_ys, data type: double partial_ys double "],[227,"NameDescriptionscoreThe final linear predict score. NameDescription NameDescription Name Name Description Description scoreThe final linear predict score. scoreThe final linear predict score. score score The final linear predict score. The final linear predict score. "],[242,"NameDescriptionscoreThe prediction result of the tree ensemble. NameDescription NameDescription Name Name Description Description scoreThe prediction result of the tree ensemble. scoreThe prediction result of the tree ensemble. score score The prediction result of the tree ensemble. The prediction result of the tree ensemble. "],[209,"NameDescriptionscoreThe prediction result of tree ensemble. NameDescription NameDescription Name Name Description Description scoreThe prediction result of tree ensemble. scoreThe prediction result of tree ensemble. score score The prediction result of tree ensemble. The prediction result of tree ensemble. "],[232,"NameDescriptionscoreThe prediction result of tree. NameDescription NameDescription Name Name Description Description scoreThe prediction result of tree. scoreThe prediction result of tree. score score The prediction result of tree. The prediction result of tree. "],[237,"NameDescriptionselected resultsThe selected data NameDescription NameDescription Name Name Description Description selected resultsThe selected data selected resultsThe selected data selected results selected results The selected data The selected data "],[231,"NameDescriptionselectsInput tree selects NameDescription NameDescription Name Name Description Description selectsInput tree selects selectsInput tree selects selects selects Input tree selects Input tree selects "],[246,"NameDescriptionselectsInput tree selects NameDescription NameDescription Name Name Description Description selectsInput tree selects selectsInput tree selects selects selects Input tree selects Input tree selects "],[187,"NameDescriptionselectsThe local prediction path information of the decision tree. NameDescription NameDescription Name Name Description Description selectsThe local prediction path information of the decision tree. selectsThe local prediction path information of the decision tree. selects selects The local prediction path information of the decision tree. The local prediction path information of the decision tree. "],[191,"NameDescriptionselectThe local prediction path information of the decision tree. NameDescription NameDescription Name Name Description Description selectThe local prediction path information of the decision tree. selectThe local prediction path information of the decision tree. select select The local prediction path information of the decision tree. The local prediction path information of the decision tree. "],[247,"NameDescriptiontree_weightThe final weight of the tree. NameDescription NameDescription Name Name Description Description tree_weightThe final weight of the tree. tree_weightThe final weight of the tree. tree_weight tree_weight The final weight of the tree. The final weight of the tree. "],[206,"NameDescriptionTypeRequiredNotesbase_scoreThe initial prediction score, global bias.DoubleNDefault: 0.0.num_treesThe number of ensemble’s treeInteger32Youtput_col_nameThe column name of tree ensemble predict scoreStringYalgo_funcOptional value: LF_SIGMOID_RAW, LF_SIGMOID_MM1, LF_SIGMOID_MM3, LF_SIGMOID_GA, LF_SIGMOID_T1, LF_SIGMOID_T3, LF_SIGMOID_T5, LF_SIGMOID_T7, LF_SIGMOID_T9, LF_SIGMOID_LS7, LF_SIGMOID_SEG3, LF_SIGMOID_SEG5, LF_SIGMOID_DF, LF_SIGMOID_SR, LF_SIGMOID_SEGLSStringNDefault: LF_IDENTITY.input_col_nameThe column name of tree weightStringY NameDescriptionTypeRequiredNotes NameDescriptionTypeRequiredNotes Name Name Description Description Type Type Required Required Notes Notes base_scoreThe initial prediction score, global bias.DoubleNDefault: 0.0.num_treesThe number of ensemble’s treeInteger32Youtput_col_nameThe column name of tree ensemble predict scoreStringYalgo_funcOptional value: LF_SIGMOID_RAW, LF_SIGMOID_MM1, LF_SIGMOID_MM3, LF_SIGMOID_GA, LF_SIGMOID_T1, LF_SIGMOID_T3, LF_SIGMOID_T5, LF_SIGMOID_T7, LF_SIGMOID_T9, LF_SIGMOID_LS7, LF_SIGMOID_SEG3, LF_SIGMOID_SEG5, LF_SIGMOID_DF, LF_SIGMOID_SR, LF_SIGMOID_SEGLSStringNDefault: LF_IDENTITY.input_col_nameThe column name of tree weightStringY base_scoreThe initial prediction score, global bias.DoubleNDefault: 0.0. base_score base_score The initial prediction score, global bias. The initial prediction score, global bias. Double Double N N Default: 0.0. Default: 0.0. num_treesThe number of ensemble’s treeInteger32Y num_trees num_trees The number of ensemble’s tree The number of ensemble’s tree Integer32 Integer32 Y Y  output_col_nameThe column name of tree ensemble predict scoreStringY output_col_name output_col_name The column name of tree ensemble predict score The column name of tree ensemble predict score String String Y Y  algo_funcOptional value: LF_SIGMOID_RAW, LF_SIGMOID_MM1, LF_SIGMOID_MM3, LF_SIGMOID_GA, LF_SIGMOID_T1, LF_SIGMOID_T3, LF_SIGMOID_T5, LF_SIGMOID_T7, LF_SIGMOID_T9, LF_SIGMOID_LS7, LF_SIGMOID_SEG3, LF_SIGMOID_SEG5, LF_SIGMOID_DF, LF_SIGMOID_SR, LF_SIGMOID_SEGLSStringNDefault: LF_IDENTITY. algo_func algo_func Optional value: LF_SIGMOID_RAW, LF_SIGMOID_MM1, LF_SIGMOID_MM3, LF_SIGMOID_GA, LF_SIGMOID_T1, LF_SIGMOID_T3, LF_SIGMOID_T5, LF_SIGMOID_T7, LF_SIGMOID_T9, LF_SIGMOID_LS7, LF_SIGMOID_SEG3, LF_SIGMOID_SEG5, LF_SIGMOID_DF, LF_SIGMOID_SR, LF_SIGMOID_SEGLS Optional value: LF_SIGMOID_RAW, LF_SIGMOID_MM1, LF_SIGMOID_MM3, LF_SIGMOID_GA, LF_SIGMOID_T1, LF_SIGMOID_T3, LF_SIGMOID_T5, LF_SIGMOID_T7, LF_SIGMOID_T9, LF_SIGMOID_LS7, LF_SIGMOID_SEG3, LF_SIGMOID_SEG5, LF_SIGMOID_DF, LF_SIGMOID_SR, LF_SIGMOID_SEGLS String String N N Default: LF_IDENTITY. Default: LF_IDENTITY. input_col_nameThe column name of tree weightStringY input_col_name input_col_name The column name of tree weight The column name of tree weight String String Y Y  "],[239,"NameDescriptionTypeRequiredNotesbase_scoreThe initial prediction score, global bias.DoubleNDefault: 0.0.output_col_nameThe column name of the ensemble predict scoreStringYalgo_funcOptional value: LF_SIGMOID_RAW, LF_SIGMOID_MM1, LF_SIGMOID_MM3, LF_SIGMOID_GA, LF_SIGMOID_T1, LF_SIGMOID_T3, LF_SIGMOID_T5, LF_SIGMOID_T7, LF_SIGMOID_T9, LF_SIGMOID_LS7, LF_SIGMOID_SEG3, LF_SIGMOID_SEG5, LF_SIGMOID_DF, LF_SIGMOID_SR, LF_SIGMOID_SEGLSStringNDefault: LF_IDENTITY.input_col_nameThe column name of the tree ensemble encrypted raw predict scoreStringY NameDescriptionTypeRequiredNotes NameDescriptionTypeRequiredNotes Name Name Description Description Type Type Required Required Notes Notes base_scoreThe initial prediction score, global bias.DoubleNDefault: 0.0.output_col_nameThe column name of the ensemble predict scoreStringYalgo_funcOptional value: LF_SIGMOID_RAW, LF_SIGMOID_MM1, LF_SIGMOID_MM3, LF_SIGMOID_GA, LF_SIGMOID_T1, LF_SIGMOID_T3, LF_SIGMOID_T5, LF_SIGMOID_T7, LF_SIGMOID_T9, LF_SIGMOID_LS7, LF_SIGMOID_SEG3, LF_SIGMOID_SEG5, LF_SIGMOID_DF, LF_SIGMOID_SR, LF_SIGMOID_SEGLSStringNDefault: LF_IDENTITY.input_col_nameThe column name of the tree ensemble encrypted raw predict scoreStringY base_scoreThe initial prediction score, global bias.DoubleNDefault: 0.0. base_score base_score The initial prediction score, global bias. The initial prediction score, global bias. Double Double N N Default: 0.0. Default: 0.0. output_col_nameThe column name of the ensemble predict scoreStringY output_col_name output_col_name The column name of the ensemble predict score The column name of the ensemble predict score String String Y Y  algo_funcOptional value: LF_SIGMOID_RAW, LF_SIGMOID_MM1, LF_SIGMOID_MM3, LF_SIGMOID_GA, LF_SIGMOID_T1, LF_SIGMOID_T3, LF_SIGMOID_T5, LF_SIGMOID_T7, LF_SIGMOID_T9, LF_SIGMOID_LS7, LF_SIGMOID_SEG3, LF_SIGMOID_SEG5, LF_SIGMOID_DF, LF_SIGMOID_SR, LF_SIGMOID_SEGLSStringNDefault: LF_IDENTITY. algo_func algo_func Optional value: LF_SIGMOID_RAW, LF_SIGMOID_MM1, LF_SIGMOID_MM3, LF_SIGMOID_GA, LF_SIGMOID_T1, LF_SIGMOID_T3, LF_SIGMOID_T5, LF_SIGMOID_T7, LF_SIGMOID_T9, LF_SIGMOID_LS7, LF_SIGMOID_SEG3, LF_SIGMOID_SEG5, LF_SIGMOID_DF, LF_SIGMOID_SR, LF_SIGMOID_SEGLS Optional value: LF_SIGMOID_RAW, LF_SIGMOID_MM1, LF_SIGMOID_MM3, LF_SIGMOID_GA, LF_SIGMOID_T1, LF_SIGMOID_T3, LF_SIGMOID_T5, LF_SIGMOID_T7, LF_SIGMOID_T9, LF_SIGMOID_LS7, LF_SIGMOID_SEG3, LF_SIGMOID_SEG5, LF_SIGMOID_DF, LF_SIGMOID_SR, LF_SIGMOID_SEGLS String String N N Default: LF_IDENTITY. Default: LF_IDENTITY. input_col_nameThe column name of the tree ensemble encrypted raw predict scoreStringY input_col_name input_col_name The column name of the tree ensemble encrypted raw predict score The column name of the tree ensemble encrypted raw predict score String String Y Y  "],[193,"NameDescriptionTypeRequiredNotescontent_json_flagWhether trace_content is serialized jsonBooleanNDefault: False.trace_contentSerialized data of secretflow compute traceBytesNoutput_schema_bytesSerialized data of output schema(arrow::Schema)BytesYinput_schema_bytesSerialized data of input schema(arrow::Schema)BytesY NameDescriptionTypeRequiredNotes NameDescriptionTypeRequiredNotes Name Name Description Description Type Type Required Required Notes Notes content_json_flagWhether trace_content is serialized jsonBooleanNDefault: False.trace_contentSerialized data of secretflow compute traceBytesNoutput_schema_bytesSerialized data of output schema(arrow::Schema)BytesYinput_schema_bytesSerialized data of input schema(arrow::Schema)BytesY content_json_flagWhether trace_content is serialized jsonBooleanNDefault: False. content_json_flag content_json_flag Whether trace_content is serialized json Whether trace_content is serialized json trace_content Boolean Boolean N N Default: False. Default: False. trace_contentSerialized data of secretflow compute traceBytesN trace_content trace_content Serialized data of secretflow compute trace Serialized data of secretflow compute trace Bytes Bytes N N  output_schema_bytesSerialized data of output schema(arrow::Schema)BytesY output_schema_bytes output_schema_bytes Serialized data of output schema(arrow::Schema) Serialized data of output schema(arrow::Schema) Bytes Bytes Y Y  input_schema_bytesSerialized data of input schema(arrow::Schema)BytesY input_schema_bytes input_schema_bytes Serialized data of input schema(arrow::Schema) Serialized data of input schema(arrow::Schema) Bytes Bytes Y Y  "],[211,"NameDescriptionTypeRequiredNotesdecrypted_col_nameThe name of the decrypted result column in the outputStringYpartial_y_col_nameThe name of the partial_y(which can be decrypt by self) column in the inputStringY NameDescriptionTypeRequiredNotes NameDescriptionTypeRequiredNotes Name Name Description Description Type Type Required Required Notes Notes decrypted_col_nameThe name of the decrypted result column in the outputStringYpartial_y_col_nameThe name of the partial_y(which can be decrypt by self) column in the inputStringY decrypted_col_nameThe name of the decrypted result column in the outputStringY decrypted_col_name decrypted_col_name The name of the decrypted result column in the output The name of the decrypted result column in the output String String Y Y  partial_y_col_nameThe name of the partial_y(which can be decrypt by self) column in the inputStringY partial_y_col_name partial_y_col_name The name of the partial_y(which can be decrypt by self) column in the input The name of the partial_y(which can be decrypt by self) column in the input String String Y Y  "],[224,"NameDescriptionTypeRequiredNotesexp_itersNumber of iterations of exp approximation, valid when link_function set LF_EXP_TAYLORInteger32NDefault: 0.link_functionType of link function, defined in secretflow_serving/protos/link_function.proto. Optional value: LF_EXP, LF_EXP_TAYLOR, LF_RECIPROCAL, LF_IDENTITY, LF_SIGMOID_RAW, LF_SIGMOID_MM1, LF_SIGMOID_MM3, LF_SIGMOID_GA, LF_SIGMOID_T1, LF_SIGMOID_T3, LF_SIGMOID_T5, LF_SIGMOID_T7, LF_SIGMOID_T9, LF_SIGMOID_LS7, LF_SIGMOID_SEG3, LF_SIGMOID_SEG5, LF_SIGMOID_DF, LF_SIGMOID_SR, LF_SIGMOID_SEGLSStringYyhat_scaleIn order to prevent value overflow, GLM training is performed on the scaled y label. So in the prediction process, you need to enlarge yhat back to get the real predicted value, yhat = yhat_scale * link(X * W)DoubleNDefault: 1.0.score_col_nameThe name of the score column in the outputStringYcrypted_y_col_nameThe name of the crypted partial_y column in the second inputStringYdecrypted_y_col_nameThe name of the decrypted partial_y column in the first inputStringY NameDescriptionTypeRequiredNotes NameDescriptionTypeRequiredNotes Name Name Description Description Type Type Required Required Notes Notes exp_itersNumber of iterations of exp approximation, valid when link_function set LF_EXP_TAYLORInteger32NDefault: 0.link_functionType of link function, defined in secretflow_serving/protos/link_function.proto. Optional value: LF_EXP, LF_EXP_TAYLOR, LF_RECIPROCAL, LF_IDENTITY, LF_SIGMOID_RAW, LF_SIGMOID_MM1, LF_SIGMOID_MM3, LF_SIGMOID_GA, LF_SIGMOID_T1, LF_SIGMOID_T3, LF_SIGMOID_T5, LF_SIGMOID_T7, LF_SIGMOID_T9, LF_SIGMOID_LS7, LF_SIGMOID_SEG3, LF_SIGMOID_SEG5, LF_SIGMOID_DF, LF_SIGMOID_SR, LF_SIGMOID_SEGLSStringYyhat_scaleIn order to prevent value overflow, GLM training is performed on the scaled y label. So in the prediction process, you need to enlarge yhat back to get the real predicted value, yhat = yhat_scale * link(X * W)DoubleNDefault: 1.0.score_col_nameThe name of the score column in the outputStringYcrypted_y_col_nameThe name of the crypted partial_y column in the second inputStringYdecrypted_y_col_nameThe name of the decrypted partial_y column in the first inputStringY exp_itersNumber of iterations of exp approximation, valid when link_function set LF_EXP_TAYLORInteger32NDefault: 0. exp_iters exp_iters Number of iterations of exp approximation, valid when link_function set LF_EXP_TAYLOR Number of iterations of exp approximation, valid when link_function set LF_EXP_TAYLOR exp link_function LF_EXP_TAYLOR Integer32 Integer32 N N Default: 0. Default: 0. link_functionType of link function, defined in secretflow_serving/protos/link_function.proto. Optional value: LF_EXP, LF_EXP_TAYLOR, LF_RECIPROCAL, LF_IDENTITY, LF_SIGMOID_RAW, LF_SIGMOID_MM1, LF_SIGMOID_MM3, LF_SIGMOID_GA, LF_SIGMOID_T1, LF_SIGMOID_T3, LF_SIGMOID_T5, LF_SIGMOID_T7, LF_SIGMOID_T9, LF_SIGMOID_LS7, LF_SIGMOID_SEG3, LF_SIGMOID_SEG5, LF_SIGMOID_DF, LF_SIGMOID_SR, LF_SIGMOID_SEGLSStringY link_function link_function Type of link function, defined in secretflow_serving/protos/link_function.proto. Optional value: LF_EXP, LF_EXP_TAYLOR, LF_RECIPROCAL, LF_IDENTITY, LF_SIGMOID_RAW, LF_SIGMOID_MM1, LF_SIGMOID_MM3, LF_SIGMOID_GA, LF_SIGMOID_T1, LF_SIGMOID_T3, LF_SIGMOID_T5, LF_SIGMOID_T7, LF_SIGMOID_T9, LF_SIGMOID_LS7, LF_SIGMOID_SEG3, LF_SIGMOID_SEG5, LF_SIGMOID_DF, LF_SIGMOID_SR, LF_SIGMOID_SEGLS Type of link function, defined in secretflow_serving/protos/link_function.proto. Optional value: LF_EXP, LF_EXP_TAYLOR, LF_RECIPROCAL, LF_IDENTITY, LF_SIGMOID_RAW, LF_SIGMOID_MM1, LF_SIGMOID_MM3, LF_SIGMOID_GA, LF_SIGMOID_T1, LF_SIGMOID_T3, LF_SIGMOID_T5, LF_SIGMOID_T7, LF_SIGMOID_T9, LF_SIGMOID_LS7, LF_SIGMOID_SEG3, LF_SIGMOID_SEG5, LF_SIGMOID_DF, LF_SIGMOID_SR, LF_SIGMOID_SEGLS secretflow_serving/protos/link_function.proto String String Y Y  yhat_scaleIn order to prevent value overflow, GLM training is performed on the scaled y label. So in the prediction process, you need to enlarge yhat back to get the real predicted value, yhat = yhat_scale * link(X * W)DoubleNDefault: 1.0. yhat_scale yhat_scale In order to prevent value overflow, GLM training is performed on the scaled y label. So in the prediction process, you need to enlarge yhat back to get the real predicted value, yhat = yhat_scale * link(X * W) In order to prevent value overflow, GLM training is performed on the scaled y label. So in the prediction process, you need to enlarge yhat back to get the real predicted value, yhat = yhat_scale * link(X * W) yhat = yhat_scale * link(X * W) Double Double N N Default: 1.0. Default: 1.0. score_col_nameThe name of the score column in the outputStringY score_col_name score_col_name The name of the score column in the output The name of the score column in the output String String Y Y  crypted_y_col_nameThe name of the crypted partial_y column in the second inputStringY crypted_y_col_name crypted_y_col_name The name of the crypted partial_y column in the second input The name of the crypted partial_y column in the second input String String Y Y  decrypted_y_col_nameThe name of the decrypted partial_y column in the first inputStringY decrypted_y_col_name decrypted_y_col_name The name of the decrypted partial_y column in the first input The name of the decrypted partial_y column in the first input String String Y Y  "],[215,"NameDescriptionTypeRequiredNotesexp_itersNumber of iterations of exp approximation, valid when link_function set LF_EXP_TAYLORInteger32NDefault: 0.output_col_nameThe column name of merged scoreStringYlink_functionType of link function, defined in secretflow_serving/protos/link_function.proto. Optional value: LF_EXP, LF_EXP_TAYLOR, LF_RECIPROCAL, LF_IDENTITY, LF_SIGMOID_RAW, LF_SIGMOID_MM1, LF_SIGMOID_MM3, LF_SIGMOID_GA, LF_SIGMOID_T1, LF_SIGMOID_T3, LF_SIGMOID_T5, LF_SIGMOID_T7, LF_SIGMOID_T9, LF_SIGMOID_LS7, LF_SIGMOID_SEG3, LF_SIGMOID_SEG5, LF_SIGMOID_DF, LF_SIGMOID_SR, LF_SIGMOID_SEGLSStringYinput_col_nameThe column name of partial_yStringYyhat_scaleIn order to prevent value overflow, GLM training is performed on the scaled y label. So in the prediction process, you need to enlarge yhat back to get the real predicted value, yhat = yhat_scale * link(X * W)DoubleNDefault: 1.0. NameDescriptionTypeRequiredNotes NameDescriptionTypeRequiredNotes Name Name Description Description Type Type Required Required Notes Notes exp_itersNumber of iterations of exp approximation, valid when link_function set LF_EXP_TAYLORInteger32NDefault: 0.output_col_nameThe column name of merged scoreStringYlink_functionType of link function, defined in secretflow_serving/protos/link_function.proto. Optional value: LF_EXP, LF_EXP_TAYLOR, LF_RECIPROCAL, LF_IDENTITY, LF_SIGMOID_RAW, LF_SIGMOID_MM1, LF_SIGMOID_MM3, LF_SIGMOID_GA, LF_SIGMOID_T1, LF_SIGMOID_T3, LF_SIGMOID_T5, LF_SIGMOID_T7, LF_SIGMOID_T9, LF_SIGMOID_LS7, LF_SIGMOID_SEG3, LF_SIGMOID_SEG5, LF_SIGMOID_DF, LF_SIGMOID_SR, LF_SIGMOID_SEGLSStringYinput_col_nameThe column name of partial_yStringYyhat_scaleIn order to prevent value overflow, GLM training is performed on the scaled y label. So in the prediction process, you need to enlarge yhat back to get the real predicted value, yhat = yhat_scale * link(X * W)DoubleNDefault: 1.0. exp_itersNumber of iterations of exp approximation, valid when link_function set LF_EXP_TAYLORInteger32NDefault: 0. exp_iters exp_iters Number of iterations of exp approximation, valid when link_function set LF_EXP_TAYLOR Number of iterations of exp approximation, valid when link_function set LF_EXP_TAYLOR exp link_function LF_EXP_TAYLOR Integer32 Integer32 N N Default: 0. Default: 0. output_col_nameThe column name of merged scoreStringY output_col_name output_col_name The column name of merged score The column name of merged score String String Y Y  link_functionType of link function, defined in secretflow_serving/protos/link_function.proto. Optional value: LF_EXP, LF_EXP_TAYLOR, LF_RECIPROCAL, LF_IDENTITY, LF_SIGMOID_RAW, LF_SIGMOID_MM1, LF_SIGMOID_MM3, LF_SIGMOID_GA, LF_SIGMOID_T1, LF_SIGMOID_T3, LF_SIGMOID_T5, LF_SIGMOID_T7, LF_SIGMOID_T9, LF_SIGMOID_LS7, LF_SIGMOID_SEG3, LF_SIGMOID_SEG5, LF_SIGMOID_DF, LF_SIGMOID_SR, LF_SIGMOID_SEGLSStringY link_function link_function Type of link function, defined in secretflow_serving/protos/link_function.proto. Optional value: LF_EXP, LF_EXP_TAYLOR, LF_RECIPROCAL, LF_IDENTITY, LF_SIGMOID_RAW, LF_SIGMOID_MM1, LF_SIGMOID_MM3, LF_SIGMOID_GA, LF_SIGMOID_T1, LF_SIGMOID_T3, LF_SIGMOID_T5, LF_SIGMOID_T7, LF_SIGMOID_T9, LF_SIGMOID_LS7, LF_SIGMOID_SEG3, LF_SIGMOID_SEG5, LF_SIGMOID_DF, LF_SIGMOID_SR, LF_SIGMOID_SEGLS Type of link function, defined in secretflow_serving/protos/link_function.proto. Optional value: LF_EXP, LF_EXP_TAYLOR, LF_RECIPROCAL, LF_IDENTITY, LF_SIGMOID_RAW, LF_SIGMOID_MM1, LF_SIGMOID_MM3, LF_SIGMOID_GA, LF_SIGMOID_T1, LF_SIGMOID_T3, LF_SIGMOID_T5, LF_SIGMOID_T7, LF_SIGMOID_T9, LF_SIGMOID_LS7, LF_SIGMOID_SEG3, LF_SIGMOID_SEG5, LF_SIGMOID_DF, LF_SIGMOID_SR, LF_SIGMOID_SEGLS secretflow_serving/protos/link_function.proto String String Y Y  input_col_nameThe column name of partial_yStringY input_col_name input_col_name The column name of partial_y The column name of partial_y String String Y Y  yhat_scaleIn order to prevent value overflow, GLM training is performed on the scaled y label. So in the prediction process, you need to enlarge yhat back to get the real predicted value, yhat = yhat_scale * link(X * W)DoubleNDefault: 1.0. yhat_scale yhat_scale In order to prevent value overflow, GLM training is performed on the scaled y label. So in the prediction process, you need to enlarge yhat back to get the real predicted value, yhat = yhat_scale * link(X * W) In order to prevent value overflow, GLM training is performed on the scaled y label. So in the prediction process, you need to enlarge yhat back to get the real predicted value, yhat = yhat_scale * link(X * W) yhat = yhat_scale * link(X * W) Double Double N N Default: 1.0. Default: 1.0. "],[202,"NameDescriptionTypeRequiredNotesinterceptValue of model interceptDoubleNDefault: 0.0.output_col_nameColumn name of partial yStringYfeature_weightsList of feature weightsDouble ListYinput_typesList of input feature data types, Note that there is a loss of precision when using DT_FLOAT type. Optional value: DT_UINT8, DT_INT8, DT_UINT16, DT_INT16, DT_UINT32, DT_INT32, DT_UINT64, DT_INT64, DT_FLOAT, DT_DOUBLEString ListYfeature_namesList of feature namesString ListY NameDescriptionTypeRequiredNotes NameDescriptionTypeRequiredNotes Name Name Description Description Type Type Required Required Notes Notes interceptValue of model interceptDoubleNDefault: 0.0.output_col_nameColumn name of partial yStringYfeature_weightsList of feature weightsDouble ListYinput_typesList of input feature data types, Note that there is a loss of precision when using DT_FLOAT type. Optional value: DT_UINT8, DT_INT8, DT_UINT16, DT_INT16, DT_UINT32, DT_INT32, DT_UINT64, DT_INT64, DT_FLOAT, DT_DOUBLEString ListYfeature_namesList of feature namesString ListY interceptValue of model interceptDoubleNDefault: 0.0. intercept intercept Value of model intercept Value of model intercept Double Double N N Default: 0.0. Default: 0.0. output_col_nameColumn name of partial yStringY output_col_name output_col_name Column name of partial y Column name of partial y String String Y Y  feature_weightsList of feature weightsDouble ListY feature_weights feature_weights List of feature weights List of feature weights Double List Double List Y Y  input_typesList of input feature data types, Note that there is a loss of precision when using DT_FLOAT type. Optional value: DT_UINT8, DT_INT8, DT_UINT16, DT_INT16, DT_UINT32, DT_INT32, DT_UINT64, DT_INT64, DT_FLOAT, DT_DOUBLEString ListY input_types input_types List of input feature data types, Note that there is a loss of precision when using DT_FLOAT type. Optional value: DT_UINT8, DT_INT8, DT_UINT16, DT_INT16, DT_UINT32, DT_INT32, DT_UINT64, DT_INT64, DT_FLOAT, DT_DOUBLE List of input feature data types, Note that there is a loss of precision when using DT_FLOAT type. Optional value: DT_UINT8, DT_INT8, DT_UINT16, DT_INT16, DT_UINT32, DT_INT32, DT_UINT64, DT_INT64, DT_FLOAT, DT_DOUBLE DT_FLOAT String List String List Y Y  feature_namesList of feature namesString ListY feature_names feature_names List of feature names List of feature names String List String List Y Y  "],[229,"NameDescriptionTypeRequiredNotesleaf_weightsThe weight list for leaf node, If party does not possess weights. The attr can be omitted.Double ListNDefault: [].output_col_nameThe column name of tree predict scoreStringYinput_col_nameThe column name of selectsStringY NameDescriptionTypeRequiredNotes NameDescriptionTypeRequiredNotes Name Name Description Description Type Type Required Required Notes Notes leaf_weightsThe weight list for leaf node, If party does not possess weights. The attr can be omitted.Double ListNDefault: [].output_col_nameThe column name of tree predict scoreStringYinput_col_nameThe column name of selectsStringY leaf_weightsThe weight list for leaf node, If party does not possess weights. The attr can be omitted.Double ListNDefault: []. leaf_weights leaf_weights The weight list for leaf node, If party does not possess weights. The attr can be omitted. The weight list for leaf node, If party does not possess weights. The attr can be omitted. Double List Double List N N Default: []. Default: []. output_col_nameThe column name of tree predict scoreStringY output_col_name output_col_name The column name of tree predict score The column name of tree predict score String String Y Y  input_col_nameThe column name of selectsStringY input_col_name input_col_name The column name of selects The column name of selects String String Y Y  "],[220,"NameDescriptionTypeRequiredNotesnum_treesThe number of ensemble’s treeInteger32Youtput_col_nameThe column name of the tree ensemble encrypted raw predict scoreStringYinput_col_nameThe column name of tree weightStringY NameDescriptionTypeRequiredNotes NameDescriptionTypeRequiredNotes Name Name Description Description Type Type Required Required Notes Notes num_treesThe number of ensemble’s treeInteger32Youtput_col_nameThe column name of the tree ensemble encrypted raw predict scoreStringYinput_col_nameThe column name of tree weightStringY num_treesThe number of ensemble’s treeInteger32Y num_trees num_trees The number of ensemble’s tree The number of ensemble’s tree Integer32 Integer32 Y Y  output_col_nameThe column name of the tree ensemble encrypted raw predict scoreStringY output_col_name output_col_name The column name of the tree ensemble encrypted raw predict score The column name of the tree ensemble encrypted raw predict score String String Y Y  input_col_nameThe column name of tree weightStringY input_col_name input_col_name The column name of tree weight The column name of tree weight String String Y Y  "],[198,"NameDescriptionTypeRequiredNotesresult_col_nameThe name of the calculation result(partial_y) column in the outputStringYoffset_col_nameThe name of the offset column(feature) in the inputStringNDefault: .rand_number_col_nameThe name of the generated rand number column in the outputStringYfeature_typesList of input feature data types. Optional value: DT_UINT8, DT_INT8, DT_UINT16, DT_INT16, DT_UINT32, DT_INT32, DT_UINT64, DT_INT64, DT_FLOAT, DT_DOUBLEString ListNDefault: [].feature_weights_ciphertextfeature weight ciphertext matrix bytesBytesNintercept_ciphertextIntercept ciphertext bytes or matrix bytesBytesNfeature_namesList of feature names. Note that if there is an offset column, it needs to be the last one in the listString ListNDefault: []. NameDescriptionTypeRequiredNotes NameDescriptionTypeRequiredNotes Name Name Description Description Type Type Required Required Notes Notes result_col_nameThe name of the calculation result(partial_y) column in the outputStringYoffset_col_nameThe name of the offset column(feature) in the inputStringNDefault: .rand_number_col_nameThe name of the generated rand number column in the outputStringYfeature_typesList of input feature data types. Optional value: DT_UINT8, DT_INT8, DT_UINT16, DT_INT16, DT_UINT32, DT_INT32, DT_UINT64, DT_INT64, DT_FLOAT, DT_DOUBLEString ListNDefault: [].feature_weights_ciphertextfeature weight ciphertext matrix bytesBytesNintercept_ciphertextIntercept ciphertext bytes or matrix bytesBytesNfeature_namesList of feature names. Note that if there is an offset column, it needs to be the last one in the listString ListNDefault: []. result_col_nameThe name of the calculation result(partial_y) column in the outputStringY result_col_name result_col_name The name of the calculation result(partial_y) column in the output The name of the calculation result(partial_y) column in the output String String Y Y  offset_col_nameThe name of the offset column(feature) in the inputStringNDefault: . offset_col_name offset_col_name The name of the offset column(feature) in the input The name of the offset column(feature) in the input String String N N Default: . Default: . rand_number_col_nameThe name of the generated rand number column in the outputStringY rand_number_col_name rand_number_col_name The name of the generated rand number column in the output The name of the generated rand number column in the output String String Y Y  feature_typesList of input feature data types. Optional value: DT_UINT8, DT_INT8, DT_UINT16, DT_INT16, DT_UINT32, DT_INT32, DT_UINT64, DT_INT64, DT_FLOAT, DT_DOUBLEString ListNDefault: []. feature_types feature_types List of input feature data types. Optional value: DT_UINT8, DT_INT8, DT_UINT16, DT_INT16, DT_UINT32, DT_INT32, DT_UINT64, DT_INT64, DT_FLOAT, DT_DOUBLE List of input feature data types. Optional value: DT_UINT8, DT_INT8, DT_UINT16, DT_INT16, DT_UINT32, DT_INT32, DT_UINT64, DT_INT64, DT_FLOAT, DT_DOUBLE String List String List N N Default: []. Default: []. feature_weights_ciphertextfeature weight ciphertext matrix bytesBytesN feature_weights_ciphertext feature_weights_ciphertext feature weight ciphertext matrix bytes feature weight ciphertext matrix bytes Bytes Bytes N N  intercept_ciphertextIntercept ciphertext bytes or matrix bytesBytesN intercept_ciphertext intercept_ciphertext Intercept ciphertext bytes or matrix bytes Intercept ciphertext bytes or matrix bytes Bytes Bytes N N  feature_namesList of feature names. Note that if there is an offset column, it needs to be the last one in the listString ListNDefault: []. feature_names feature_names List of feature names. Note that if there is an offset column, it needs to be the last one in the list List of feature names. Note that if there is an offset column, it needs to be the last one in the list String List String List N N Default: []. Default: []. "],[234,"NameDescriptionTypeRequiredNotesselect_crypted_for_peerIf True, select the data can be decrypted by peer, including self calculated partial_y and peer’s rand, otherwise select selfs.BooleanYrand_number_col_nameThe name of the rand number column in the input and outputStringYpartial_y_col_nameThe name of the partial_y column in the input and outputStringY NameDescriptionTypeRequiredNotes NameDescriptionTypeRequiredNotes Name Name Description Description Type Type Required Required Notes Notes select_crypted_for_peerIf True, select the data can be decrypted by peer, including self calculated partial_y and peer’s rand, otherwise select selfs.BooleanYrand_number_col_nameThe name of the rand number column in the input and outputStringYpartial_y_col_nameThe name of the partial_y column in the input and outputStringY select_crypted_for_peerIf True, select the data can be decrypted by peer, including self calculated partial_y and peer’s rand, otherwise select selfs.BooleanY select_crypted_for_peer select_crypted_for_peer If True, select the data can be decrypted by peer, including self calculated partial_y and peer’s rand, otherwise select selfs. If True, select the data can be decrypted by peer, including self calculated partial_y and peer’s rand, otherwise select selfs. True Boolean Boolean Y Y  rand_number_col_nameThe name of the rand number column in the input and outputStringY rand_number_col_name rand_number_col_name The name of the rand number column in the input and output The name of the rand number column in the input and output String String Y Y  partial_y_col_nameThe name of the partial_y column in the input and outputStringY partial_y_col_name partial_y_col_name The name of the partial_y column in the input and output The name of the partial_y column in the input and output String String Y Y  "],[189,"NameDescriptionTypeRequiredNotessplit_valuesnode split value, goes left when less than it. valid when is_leaf == falseDouble ListYsplit_feature_idxsThe list of split feature index, -1 means feature not belong to party or not validInteger32 ListYlchild_idsThe left child node id list, -1 means not validInteger32 ListYleaf_node_idsThe leaf node ids list. The order must remain consistent with the sequence in TREE_MERGE.leaf_weights.Integer32 ListYrchild_idsThe right child node id list, -1 means not validInteger32 ListYroot_node_idThe id of the root tree nodeInteger32NDefault: 0.output_col_nameColumn name of tree selectStringYinput_feature_typesList of input feature data types. Optional value: DT_UINT8, DT_INT8, DT_UINT16, DT_INT16, DT_UINT32, DT_INT32, DT_UINT64, DT_INT64, DT_FLOAT, DT_DOUBLEString ListYnode_idsThe id list of the tree nodeInteger32 ListYinput_feature_namesList of feature namesString ListY NameDescriptionTypeRequiredNotes NameDescriptionTypeRequiredNotes Name Name Description Description Type Type Required Required Notes Notes split_valuesnode split value, goes left when less than it. valid when is_leaf == falseDouble ListYsplit_feature_idxsThe list of split feature index, -1 means feature not belong to party or not validInteger32 ListYlchild_idsThe left child node id list, -1 means not validInteger32 ListYleaf_node_idsThe leaf node ids list. The order must remain consistent with the sequence in TREE_MERGE.leaf_weights.Integer32 ListYrchild_idsThe right child node id list, -1 means not validInteger32 ListYroot_node_idThe id of the root tree nodeInteger32NDefault: 0.output_col_nameColumn name of tree selectStringYinput_feature_typesList of input feature data types. Optional value: DT_UINT8, DT_INT8, DT_UINT16, DT_INT16, DT_UINT32, DT_INT32, DT_UINT64, DT_INT64, DT_FLOAT, DT_DOUBLEString ListYnode_idsThe id list of the tree nodeInteger32 ListYinput_feature_namesList of feature namesString ListY split_valuesnode split value, goes left when less than it. valid when is_leaf == falseDouble ListY split_values split_values node split value, goes left when less than it. valid when is_leaf == false node split value, goes left when less than it. valid when is_leaf == false is_leaf == false Double List Double List Y Y  split_feature_idxsThe list of split feature index, -1 means feature not belong to party or not validInteger32 ListY split_feature_idxs split_feature_idxs The list of split feature index, -1 means feature not belong to party or not valid The list of split feature index, -1 means feature not belong to party or not valid -1 Integer32 List Integer32 List Y Y  lchild_idsThe left child node id list, -1 means not validInteger32 ListY lchild_ids lchild_ids The left child node id list, -1 means not valid The left child node id list, -1 means not valid -1 Integer32 List Integer32 List Y Y  leaf_node_idsThe leaf node ids list. The order must remain consistent with the sequence in TREE_MERGE.leaf_weights.Integer32 ListY leaf_node_ids leaf_node_ids The leaf node ids list. The order must remain consistent with the sequence in TREE_MERGE.leaf_weights. The leaf node ids list. The order must remain consistent with the sequence in TREE_MERGE.leaf_weights. TREE_MERGE.leaf_weights Integer32 List Integer32 List Y Y  rchild_idsThe right child node id list, -1 means not validInteger32 ListY rchild_ids rchild_ids The right child node id list, -1 means not valid The right child node id list, -1 means not valid -1 Integer32 List Integer32 List Y Y  root_node_idThe id of the root tree nodeInteger32NDefault: 0. root_node_id root_node_id The id of the root tree node The id of the root tree node Integer32 Integer32 N N Default: 0. Default: 0. output_col_nameColumn name of tree selectStringY output_col_name output_col_name Column name of tree select Column name of tree select String String Y Y  input_feature_typesList of input feature data types. Optional value: DT_UINT8, DT_INT8, DT_UINT16, DT_INT16, DT_UINT32, DT_INT32, DT_UINT64, DT_INT64, DT_FLOAT, DT_DOUBLEString ListY input_feature_types input_feature_types List of input feature data types. Optional value: DT_UINT8, DT_INT8, DT_UINT16, DT_INT16, DT_UINT32, DT_INT32, DT_UINT64, DT_INT64, DT_FLOAT, DT_DOUBLE List of input feature data types. Optional value: DT_UINT8, DT_INT8, DT_UINT16, DT_INT16, DT_UINT32, DT_INT32, DT_UINT64, DT_INT64, DT_FLOAT, DT_DOUBLE String List String List Y Y  node_idsThe id list of the tree nodeInteger32 ListY node_ids node_ids The id list of the tree node The id list of the tree node Integer32 List Integer32 List Y Y  input_feature_namesList of feature namesString ListY input_feature_names input_feature_names List of feature names List of feature names String List String List Y Y  "],[185,"NameDescriptionTypeRequiredNotessplit_valuesnode split value, goes left when less than it. valid when is_leaf == falseDouble ListYsplit_feature_idxsThe list of split feature index, -1 means feature not belong to party or not validInteger32 ListYlchild_idsThe left child node id list, -1 means not validInteger32 ListYleaf_node_idsThe leaf node ids list.Integer32 ListYrchild_idsThe right child node id list, -1 means not validInteger32 ListYroot_node_idThe id of the root tree nodeInteger32NDefault: 0.weight_shard_col_nameColumn name of weight shardStringYselect_col_nameColumn name of tree selectStringYinput_feature_typesList of input feature data types. Optional value: DT_UINT8, DT_INT8, DT_UINT16, DT_INT16, DT_UINT32, DT_INT32, DT_UINT64, DT_INT64, DT_FLOAT, DT_DOUBLEString ListYweight_shardThe leaf node’s weight shard list.The order must remain consistent with the sequence in leaf_node_ids.BytesYnode_idsThe id list of the tree nodeInteger32 ListYinput_feature_namesList of feature namesString ListY NameDescriptionTypeRequiredNotes NameDescriptionTypeRequiredNotes Name Name Description Description Type Type Required Required Notes Notes split_valuesnode split value, goes left when less than it. valid when is_leaf == falseDouble ListYsplit_feature_idxsThe list of split feature index, -1 means feature not belong to party or not validInteger32 ListYlchild_idsThe left child node id list, -1 means not validInteger32 ListYleaf_node_idsThe leaf node ids list.Integer32 ListYrchild_idsThe right child node id list, -1 means not validInteger32 ListYroot_node_idThe id of the root tree nodeInteger32NDefault: 0.weight_shard_col_nameColumn name of weight shardStringYselect_col_nameColumn name of tree selectStringYinput_feature_typesList of input feature data types. Optional value: DT_UINT8, DT_INT8, DT_UINT16, DT_INT16, DT_UINT32, DT_INT32, DT_UINT64, DT_INT64, DT_FLOAT, DT_DOUBLEString ListYweight_shardThe leaf node’s weight shard list.The order must remain consistent with the sequence in leaf_node_ids.BytesYnode_idsThe id list of the tree nodeInteger32 ListYinput_feature_namesList of feature namesString ListY split_valuesnode split value, goes left when less than it. valid when is_leaf == falseDouble ListY split_values split_values node split value, goes left when less than it. valid when is_leaf == false node split value, goes left when less than it. valid when is_leaf == false is_leaf == false Double List Double List Y Y  split_feature_idxsThe list of split feature index, -1 means feature not belong to party or not validInteger32 ListY split_feature_idxs split_feature_idxs The list of split feature index, -1 means feature not belong to party or not valid The list of split feature index, -1 means feature not belong to party or not valid -1 Integer32 List Integer32 List Y Y  lchild_idsThe left child node id list, -1 means not validInteger32 ListY lchild_ids lchild_ids The left child node id list, -1 means not valid The left child node id list, -1 means not valid -1 Integer32 List Integer32 List Y Y  leaf_node_idsThe leaf node ids list.Integer32 ListY leaf_node_ids leaf_node_ids The leaf node ids list. The leaf node ids list. Integer32 List Integer32 List Y Y  rchild_idsThe right child node id list, -1 means not validInteger32 ListY rchild_ids rchild_ids The right child node id list, -1 means not valid The right child node id list, -1 means not valid -1 Integer32 List Integer32 List Y Y  root_node_idThe id of the root tree nodeInteger32NDefault: 0. root_node_id root_node_id The id of the root tree node The id of the root tree node Integer32 Integer32 N N Default: 0. Default: 0. weight_shard_col_nameColumn name of weight shardStringY weight_shard_col_name weight_shard_col_name Column name of weight shard Column name of weight shard String String Y Y  select_col_nameColumn name of tree selectStringY select_col_name select_col_name Column name of tree select Column name of tree select String String Y Y  input_feature_typesList of input feature data types. Optional value: DT_UINT8, DT_INT8, DT_UINT16, DT_INT16, DT_UINT32, DT_INT32, DT_UINT64, DT_INT64, DT_FLOAT, DT_DOUBLEString ListY input_feature_types input_feature_types List of input feature data types. Optional value: DT_UINT8, DT_INT8, DT_UINT16, DT_INT16, DT_UINT32, DT_INT32, DT_UINT64, DT_INT64, DT_FLOAT, DT_DOUBLE List of input feature data types. Optional value: DT_UINT8, DT_INT8, DT_UINT16, DT_INT16, DT_UINT32, DT_INT32, DT_UINT64, DT_INT64, DT_FLOAT, DT_DOUBLE String List String List Y Y  weight_shardThe leaf node’s weight shard list.The order must remain consistent with the sequence in leaf_node_ids.BytesY weight_shard weight_shard The leaf node’s weight shard list.The order must remain consistent with the sequence in leaf_node_ids. The leaf node’s weight shard list.The order must remain consistent with the sequence in leaf_node_ids. leaf_node_ids Bytes Bytes Y Y  node_idsThe id list of the tree nodeInteger32 ListY node_ids node_ids The id list of the tree node The id list of the tree node Integer32 List Integer32 List Y Y  input_feature_namesList of feature namesString ListY input_feature_names input_feature_names List of feature names List of feature names String List String List Y Y  "],[244,"NameDescriptionTypeRequiredNotesweight_shardThe leaf node’s weight shard list.The order must remain consistent with the sequence in PHE_2P_TREE_SELECT.leaf_node_ids.BytesYoutput_col_nameThe column name of tree predict scoreStringYweight_shard_col_nameThe column name of weight shardStringYselect_col_nameThe column name of selectsStringY NameDescriptionTypeRequiredNotes NameDescriptionTypeRequiredNotes Name Name Description Description Type Type Required Required Notes Notes weight_shardThe leaf node’s weight shard list.The order must remain consistent with the sequence in PHE_2P_TREE_SELECT.leaf_node_ids.BytesYoutput_col_nameThe column name of tree predict scoreStringYweight_shard_col_nameThe column name of weight shardStringYselect_col_nameThe column name of selectsStringY weight_shardThe leaf node’s weight shard list.The order must remain consistent with the sequence in PHE_2P_TREE_SELECT.leaf_node_ids.BytesY weight_shard weight_shard The leaf node’s weight shard list.The order must remain consistent with the sequence in PHE_2P_TREE_SELECT.leaf_node_ids. The leaf node’s weight shard list.The order must remain consistent with the sequence in PHE_2P_TREE_SELECT.leaf_node_ids. PHE_2P_TREE_SELECT.leaf_node_ids Bytes Bytes Y Y  output_col_nameThe column name of tree predict scoreStringY output_col_name output_col_name The column name of tree predict score The column name of tree predict score String String Y Y  weight_shard_col_nameThe column name of weight shardStringY weight_shard_col_name weight_shard_col_name The column name of weight shard The column name of weight shard String String Y Y  select_col_nameThe column name of selectsStringY select_col_name select_col_name The column name of selects The column name of selects String String Y Y  "],[165,"NameNumberDescriptionINVALID_MOCK_DATA_TYPE0Placeholder for proto3 default value, do not use it.MDT_RANDOM1random value for each featureMDT_FIXED2fixed value for each feature NameNumberDescription NameNumberDescription Name Name Number Number Description Description INVALID_MOCK_DATA_TYPE0Placeholder for proto3 default value, do not use it.MDT_RANDOM1random value for each featureMDT_FIXED2fixed value for each feature INVALID_MOCK_DATA_TYPE0Placeholder for proto3 default value, do not use it. INVALID_MOCK_DATA_TYPE INVALID_MOCK_DATA_TYPE 0 0 Placeholder for proto3 default value, do not use it. Placeholder for proto3 default value, do not use it. MDT_RANDOM1random value for each feature MDT_RANDOM MDT_RANDOM 1 1 random value for each feature random value for each feature MDT_FIXED2fixed value for each feature MDT_FIXED MDT_FIXED 2 2 fixed value for each feature fixed value for each feature  "],[168,"NameNumberDescriptionINVALID_MODE0No retry.FIXED_BACKOFF1Retry with fixed backoff.EXPONENTIAL_BACKOFF2Retry with exponential backoff.RANDOM_BACKOFF3Retry with random backoff. NameNumberDescription NameNumberDescription Name Name Number Number Description Description INVALID_MODE0No retry.FIXED_BACKOFF1Retry with fixed backoff.EXPONENTIAL_BACKOFF2Retry with exponential backoff.RANDOM_BACKOFF3Retry with random backoff. INVALID_MODE0No retry. INVALID_MODE INVALID_MODE 0 0 No retry. No retry. FIXED_BACKOFF1Retry with fixed backoff. FIXED_BACKOFF FIXED_BACKOFF 1 1 Retry with fixed backoff. Retry with fixed backoff. EXPONENTIAL_BACKOFF2Retry with exponential backoff. EXPONENTIAL_BACKOFF EXPONENTIAL_BACKOFF 2 2 Retry with exponential backoff. Retry with exponential backoff. RANDOM_BACKOFF3Retry with random backoff. RANDOM_BACKOFF RANDOM_BACKOFF 3 3 Retry with random backoff. Retry with random backoff.  "],[112,"NameNumberDescriptionUNKNOWN0Placeholder for proto3 default value, do not use itOK1noneUNEXPECTED_ERROR2noneINVALID_ARGUMENT3noneNETWORK_ERROR4noneNOT_FOUND5Some requested entity (e.g., file or directory) was not found.NOT_IMPLEMENTED6noneLOGIC_ERROR7noneSERIALIZE_FAILED8noneDESERIALIZE_FAILED9noneIO_ERROR10noneNOT_READY11noneFS_UNAUTHENTICATED100noneFS_INVALID_ARGUMENT101noneFS_DEADLINE_EXCEEDED102noneFS_NOT_FOUND103noneFS_INTERNAL_ERROR104none NameNumberDescription NameNumberDescription Name Name Number Number Description Description UNKNOWN0Placeholder for proto3 default value, do not use itOK1noneUNEXPECTED_ERROR2noneINVALID_ARGUMENT3noneNETWORK_ERROR4noneNOT_FOUND5Some requested entity (e.g., file or directory) was not found.NOT_IMPLEMENTED6noneLOGIC_ERROR7noneSERIALIZE_FAILED8noneDESERIALIZE_FAILED9noneIO_ERROR10noneNOT_READY11noneFS_UNAUTHENTICATED100noneFS_INVALID_ARGUMENT101noneFS_DEADLINE_EXCEEDED102noneFS_NOT_FOUND103noneFS_INTERNAL_ERROR104none UNKNOWN0Placeholder for proto3 default value, do not use it UNKNOWN UNKNOWN 0 0 Placeholder for proto3 default value, do not use it Placeholder for proto3 default value, do not use it OK1none OK OK 1 1 none none UNEXPECTED_ERROR2none UNEXPECTED_ERROR UNEXPECTED_ERROR 2 2 none none INVALID_ARGUMENT3none INVALID_ARGUMENT INVALID_ARGUMENT 3 3 none none NETWORK_ERROR4none NETWORK_ERROR NETWORK_ERROR 4 4 none none NOT_FOUND5Some requested entity (e.g., file or directory) was not found. NOT_FOUND NOT_FOUND 5 5 Some requested entity (e.g., file or directory) was not found. Some requested entity (e.g., file or directory) was not found. NOT_IMPLEMENTED6none NOT_IMPLEMENTED NOT_IMPLEMENTED 6 6 none none LOGIC_ERROR7none LOGIC_ERROR LOGIC_ERROR 7 7 none none SERIALIZE_FAILED8none SERIALIZE_FAILED SERIALIZE_FAILED 8 8 none none DESERIALIZE_FAILED9none DESERIALIZE_FAILED DESERIALIZE_FAILED 9 9 none none IO_ERROR10none IO_ERROR IO_ERROR 10 10 none none NOT_READY11none NOT_READY NOT_READY 11 11 none none FS_UNAUTHENTICATED100none FS_UNAUTHENTICATED FS_UNAUTHENTICATED 100 100 none none FS_INVALID_ARGUMENT101none FS_INVALID_ARGUMENT FS_INVALID_ARGUMENT 101 101 none none FS_DEADLINE_EXCEEDED102none FS_DEADLINE_EXCEEDED FS_DEADLINE_EXCEEDED 102 102 none none FS_NOT_FOUND103none FS_NOT_FOUND FS_NOT_FOUND 103 103 none none FS_INTERNAL_ERROR104none FS_INTERNAL_ERROR FS_INTERNAL_ERROR 104 104 none none  "],[73,"NameNumberDescriptionUNKOWN_EX_FUNCTION_NAME0Placeholder for proto3 default value, do not use itEFN_TB_COLUMN1Get colunm from table(record_batch). see https://arrow.apache.org/docs/cpp/api/table.html#_CPPv4NK5arrow11RecordBatch6columnEiEFN_TB_ADD_COLUMN2Add colum to table(record_batch). see https://arrow.apache.org/docs/cpp/api/table.html#_CPPv4NK5arrow11RecordBatch9AddColumnEiNSt6stringERKNSt10shared_ptrI5ArrayEEEFN_TB_REMOVE_COLUMN3Remove colunm from table(record_batch). see https://arrow.apache.org/docs/cpp/api/table.html#_CPPv4NK5arrow11RecordBatch12RemoveColumnEiEFN_TB_SET_COLUMN4Set colunm to table(record_batch). see https://arrow.apache.org/docs/cpp/api/table.html#_CPPv4NK5arrow11RecordBatch9SetColumnEiRKNSt10shared_ptrI5FieldEERKNSt10shared_ptrI5ArrayEE NameNumberDescription NameNumberDescription Name Name Number Number Description Description UNKOWN_EX_FUNCTION_NAME0Placeholder for proto3 default value, do not use itEFN_TB_COLUMN1Get colunm from table(record_batch). see https://arrow.apache.org/docs/cpp/api/table.html#_CPPv4NK5arrow11RecordBatch6columnEiEFN_TB_ADD_COLUMN2Add colum to table(record_batch). see https://arrow.apache.org/docs/cpp/api/table.html#_CPPv4NK5arrow11RecordBatch9AddColumnEiNSt6stringERKNSt10shared_ptrI5ArrayEEEFN_TB_REMOVE_COLUMN3Remove colunm from table(record_batch). see https://arrow.apache.org/docs/cpp/api/table.html#_CPPv4NK5arrow11RecordBatch12RemoveColumnEiEFN_TB_SET_COLUMN4Set colunm to table(record_batch). see https://arrow.apache.org/docs/cpp/api/table.html#_CPPv4NK5arrow11RecordBatch9SetColumnEiRKNSt10shared_ptrI5FieldEERKNSt10shared_ptrI5ArrayEE UNKOWN_EX_FUNCTION_NAME0Placeholder for proto3 default value, do not use it UNKOWN_EX_FUNCTION_NAME UNKOWN_EX_FUNCTION_NAME 0 0 Placeholder for proto3 default value, do not use it Placeholder for proto3 default value, do not use it EFN_TB_COLUMN1Get colunm from table(record_batch). see https://arrow.apache.org/docs/cpp/api/table.html#_CPPv4NK5arrow11RecordBatch6columnEi EFN_TB_COLUMN EFN_TB_COLUMN 1 1 Get colunm from table(record_batch). see https://arrow.apache.org/docs/cpp/api/table.html#_CPPv4NK5arrow11RecordBatch6columnEi Get colunm from table(record_batch). see https://arrow.apache.org/docs/cpp/api/table.html#_CPPv4NK5arrow11RecordBatch6columnEi https://arrow.apache.org/docs/cpp/api/table.html#_CPPv4NK5arrow11RecordBatch6columnEi EFN_TB_ADD_COLUMN2Add colum to table(record_batch). see https://arrow.apache.org/docs/cpp/api/table.html#_CPPv4NK5arrow11RecordBatch9AddColumnEiNSt6stringERKNSt10shared_ptrI5ArrayEE EFN_TB_ADD_COLUMN EFN_TB_ADD_COLUMN 2 2 Add colum to table(record_batch). see https://arrow.apache.org/docs/cpp/api/table.html#_CPPv4NK5arrow11RecordBatch9AddColumnEiNSt6stringERKNSt10shared_ptrI5ArrayEE Add colum to table(record_batch). see https://arrow.apache.org/docs/cpp/api/table.html#_CPPv4NK5arrow11RecordBatch9AddColumnEiNSt6stringERKNSt10shared_ptrI5ArrayEE https://arrow.apache.org/docs/cpp/api/table.html#_CPPv4NK5arrow11RecordBatch9AddColumnEiNSt6stringERKNSt10shared_ptrI5ArrayEE EFN_TB_REMOVE_COLUMN3Remove colunm from table(record_batch). see https://arrow.apache.org/docs/cpp/api/table.html#_CPPv4NK5arrow11RecordBatch12RemoveColumnEi EFN_TB_REMOVE_COLUMN EFN_TB_REMOVE_COLUMN 3 3 Remove colunm from table(record_batch). see https://arrow.apache.org/docs/cpp/api/table.html#_CPPv4NK5arrow11RecordBatch12RemoveColumnEi Remove colunm from table(record_batch). see https://arrow.apache.org/docs/cpp/api/table.html#_CPPv4NK5arrow11RecordBatch12RemoveColumnEi https://arrow.apache.org/docs/cpp/api/table.html#_CPPv4NK5arrow11RecordBatch12RemoveColumnEi EFN_TB_SET_COLUMN4Set colunm to table(record_batch). see https://arrow.apache.org/docs/cpp/api/table.html#_CPPv4NK5arrow11RecordBatch9SetColumnEiRKNSt10shared_ptrI5FieldEERKNSt10shared_ptrI5ArrayEE EFN_TB_SET_COLUMN EFN_TB_SET_COLUMN 4 4 Set colunm to table(record_batch). see https://arrow.apache.org/docs/cpp/api/table.html#_CPPv4NK5arrow11RecordBatch9SetColumnEiRKNSt10shared_ptrI5FieldEERKNSt10shared_ptrI5ArrayEE Set colunm to table(record_batch). see https://arrow.apache.org/docs/cpp/api/table.html#_CPPv4NK5arrow11RecordBatch9SetColumnEiRKNSt10shared_ptrI5FieldEERKNSt10shared_ptrI5ArrayEE https://arrow.apache.org/docs/cpp/api/table.html#_CPPv4NK5arrow11RecordBatch9SetColumnEiRKNSt10shared_ptrI5FieldEERKNSt10shared_ptrI5ArrayEE  "],[74,"NameNumberDescriptionUNKOWN_EX_FUNCTION_NAME0Placeholder for proto3 default value, do not use itEFN_TB_COLUMN1Get colunm from table(record_batch). see https://arrow.apache.org/docs/cpp/api/table.html#_CPPv4NK5arrow11RecordBatch6columnEiEFN_TB_ADD_COLUMN2Add colum to table(record_batch). see https://arrow.apache.org/docs/cpp/api/table.html#_CPPv4NK5arrow11RecordBatch9AddColumnEiNSt6stringERKNSt10shared_ptrI5ArrayEEEFN_TB_REMOVE_COLUMN3Remove colunm from table(record_batch). see https://arrow.apache.org/docs/cpp/api/table.html#_CPPv4NK5arrow11RecordBatch12RemoveColumnEiEFN_TB_SET_COLUMN4Set colunm to table(record_batch). see https://arrow.apache.org/docs/cpp/api/table.html#_CPPv4NK5arrow11RecordBatch9SetColumnEiRKNSt10shared_ptrI5FieldEERKNSt10shared_ptrI5ArrayEE NameNumberDescription NameNumberDescription Name Name Number Number Description Description UNKOWN_EX_FUNCTION_NAME0Placeholder for proto3 default value, do not use itEFN_TB_COLUMN1Get colunm from table(record_batch). see https://arrow.apache.org/docs/cpp/api/table.html#_CPPv4NK5arrow11RecordBatch6columnEiEFN_TB_ADD_COLUMN2Add colum to table(record_batch). see https://arrow.apache.org/docs/cpp/api/table.html#_CPPv4NK5arrow11RecordBatch9AddColumnEiNSt6stringERKNSt10shared_ptrI5ArrayEEEFN_TB_REMOVE_COLUMN3Remove colunm from table(record_batch). see https://arrow.apache.org/docs/cpp/api/table.html#_CPPv4NK5arrow11RecordBatch12RemoveColumnEiEFN_TB_SET_COLUMN4Set colunm to table(record_batch). see https://arrow.apache.org/docs/cpp/api/table.html#_CPPv4NK5arrow11RecordBatch9SetColumnEiRKNSt10shared_ptrI5FieldEERKNSt10shared_ptrI5ArrayEE UNKOWN_EX_FUNCTION_NAME0Placeholder for proto3 default value, do not use it UNKOWN_EX_FUNCTION_NAME UNKOWN_EX_FUNCTION_NAME 0 0 Placeholder for proto3 default value, do not use it Placeholder for proto3 default value, do not use it EFN_TB_COLUMN1Get colunm from table(record_batch). see https://arrow.apache.org/docs/cpp/api/table.html#_CPPv4NK5arrow11RecordBatch6columnEi EFN_TB_COLUMN EFN_TB_COLUMN 1 1 Get colunm from table(record_batch). see https://arrow.apache.org/docs/cpp/api/table.html#_CPPv4NK5arrow11RecordBatch6columnEi Get colunm from table(record_batch). see https://arrow.apache.org/docs/cpp/api/table.html#_CPPv4NK5arrow11RecordBatch6columnEi https://arrow.apache.org/docs/cpp/api/table.html#_CPPv4NK5arrow11RecordBatch6columnEi EFN_TB_ADD_COLUMN2Add colum to table(record_batch). see https://arrow.apache.org/docs/cpp/api/table.html#_CPPv4NK5arrow11RecordBatch9AddColumnEiNSt6stringERKNSt10shared_ptrI5ArrayEE EFN_TB_ADD_COLUMN EFN_TB_ADD_COLUMN 2 2 Add colum to table(record_batch). see https://arrow.apache.org/docs/cpp/api/table.html#_CPPv4NK5arrow11RecordBatch9AddColumnEiNSt6stringERKNSt10shared_ptrI5ArrayEE Add colum to table(record_batch). see https://arrow.apache.org/docs/cpp/api/table.html#_CPPv4NK5arrow11RecordBatch9AddColumnEiNSt6stringERKNSt10shared_ptrI5ArrayEE https://arrow.apache.org/docs/cpp/api/table.html#_CPPv4NK5arrow11RecordBatch9AddColumnEiNSt6stringERKNSt10shared_ptrI5ArrayEE EFN_TB_REMOVE_COLUMN3Remove colunm from table(record_batch). see https://arrow.apache.org/docs/cpp/api/table.html#_CPPv4NK5arrow11RecordBatch12RemoveColumnEi EFN_TB_REMOVE_COLUMN EFN_TB_REMOVE_COLUMN 3 3 Remove colunm from table(record_batch). see https://arrow.apache.org/docs/cpp/api/table.html#_CPPv4NK5arrow11RecordBatch12RemoveColumnEi Remove colunm from table(record_batch). see https://arrow.apache.org/docs/cpp/api/table.html#_CPPv4NK5arrow11RecordBatch12RemoveColumnEi https://arrow.apache.org/docs/cpp/api/table.html#_CPPv4NK5arrow11RecordBatch12RemoveColumnEi EFN_TB_SET_COLUMN4Set colunm to table(record_batch). see https://arrow.apache.org/docs/cpp/api/table.html#_CPPv4NK5arrow11RecordBatch9SetColumnEiRKNSt10shared_ptrI5FieldEERKNSt10shared_ptrI5ArrayEE EFN_TB_SET_COLUMN EFN_TB_SET_COLUMN 4 4 Set colunm to table(record_batch). see https://arrow.apache.org/docs/cpp/api/table.html#_CPPv4NK5arrow11RecordBatch9SetColumnEiRKNSt10shared_ptrI5FieldEERKNSt10shared_ptrI5ArrayEE Set colunm to table(record_batch). see https://arrow.apache.org/docs/cpp/api/table.html#_CPPv4NK5arrow11RecordBatch9SetColumnEiRKNSt10shared_ptrI5FieldEERKNSt10shared_ptrI5ArrayEE https://arrow.apache.org/docs/cpp/api/table.html#_CPPv4NK5arrow11RecordBatch9SetColumnEiRKNSt10shared_ptrI5FieldEERKNSt10shared_ptrI5ArrayEE  "],[264,"nametypedescexposer_transferred_bytes_totalCounterTransferred bytes to metrics servicesexposer_scrapes_totalCounterNumber of times metrics were scrapedexposer_request_duration_millisecondsSummarySummary of latencies of serving scrape requests, in milliseconds  with  0.5-quantile, 0.9-quantile, 0.99-quantile nametypedesc nametypedesc name name type type desc desc exposer_transferred_bytes_totalCounterTransferred bytes to metrics servicesexposer_scrapes_totalCounterNumber of times metrics were scrapedexposer_request_duration_millisecondsSummarySummary of latencies of serving scrape requests, in milliseconds  with  0.5-quantile, 0.9-quantile, 0.99-quantile exposer_transferred_bytes_totalCounterTransferred bytes to metrics services exposer_transferred_bytes_total exposer_transferred_bytes_total Counter Counter Transferred bytes to metrics services Transferred bytes to metrics services exposer_scrapes_totalCounterNumber of times metrics were scraped exposer_scrapes_total exposer_scrapes_total Counter Counter Number of times metrics were scraped Number of times metrics were scraped exposer_request_duration_millisecondsSummarySummary of latencies of serving scrape requests, in milliseconds  with  0.5-quantile, 0.9-quantile, 0.99-quantile exposer_request_duration_milliseconds exposer_request_duration_milliseconds Summary Summary Summary of latencies of serving scrape requests, in milliseconds  with  0.5-quantile, 0.9-quantile, 0.99-quantile Summary of latencies of serving scrape requests, in milliseconds  with  0.5-quantile, 0.9-quantile, 0.99-quantile "],[265,"nametypedesclabelprediction_request_countCounterHow many prediction service api requests are handled by this server.handler: PredictionServiceservice_idparty_idactioncode: error code of responseprediction_sample_countCounterHow many prediction samples are processed by this services.handler: PredictionServiceservice_idparty_idactionprediction_request_duration_millisecondsSummarySummary of prediction service api request duration in milliseconds with 0.5-quantile, 0.9-quantile, 0.99-quantilehandler: PredictionServiceservice_idparty_idaction nametypedesclabel nametypedesclabel name name type type desc desc label label prediction_request_countCounterHow many prediction service api requests are handled by this server.handler: PredictionServiceservice_idparty_idactioncode: error code of responseprediction_sample_countCounterHow many prediction samples are processed by this services.handler: PredictionServiceservice_idparty_idactionprediction_request_duration_millisecondsSummarySummary of prediction service api request duration in milliseconds with 0.5-quantile, 0.9-quantile, 0.99-quantilehandler: PredictionServiceservice_idparty_idaction prediction_request_countCounterHow many prediction service api requests are handled by this server.handler: PredictionService prediction_request_count prediction_request_count Counter Counter How many prediction service api requests are handled by this server. How many prediction service api requests are handled by this server. handler: PredictionService handler: PredictionService service_id service_id service_id party_id party_id party_id action action action code: error code of response code: error code of response code: error code of response prediction_sample_countCounterHow many prediction samples are processed by this services.handler: PredictionService prediction_sample_count prediction_sample_count Counter Counter How many prediction samples are processed by this services. How many prediction samples are processed by this services. handler: PredictionService handler: PredictionService service_id service_id service_id party_id party_id party_id action action action prediction_request_duration_millisecondsSummarySummary of prediction service api request duration in milliseconds with 0.5-quantile, 0.9-quantile, 0.99-quantilehandler: PredictionService prediction_request_duration_milliseconds prediction_request_duration_milliseconds Summary Summary Summary of prediction service api request duration in milliseconds with 0.5-quantile, 0.9-quantile, 0.99-quantile Summary of prediction service api request duration in milliseconds with 0.5-quantile, 0.9-quantile, 0.99-quantile handler: PredictionService handler: PredictionService service_id service_id service_id party_id party_id party_id action action action "],[266,"nametypedesclabelsexecution_request_countCounterHow many execution requests are handled by this server.handler: ExecutionServiceservice_idparty_idactioncode: error code of responseexecution_request_duration_millisecondsSummarySummary of execution service api request duration in milliseconds  with  0.5-quantile, 0.9-quantile, 0.99-quantilehandler: ExecutionServiceservice_idparty_idaction nametypedesclabels nametypedesclabels name name type type desc desc labels labels execution_request_countCounterHow many execution requests are handled by this server.handler: ExecutionServiceservice_idparty_idactioncode: error code of responseexecution_request_duration_millisecondsSummarySummary of execution service api request duration in milliseconds  with  0.5-quantile, 0.9-quantile, 0.99-quantilehandler: ExecutionServiceservice_idparty_idaction execution_request_countCounterHow many execution requests are handled by this server.handler: ExecutionService execution_request_count execution_request_count Counter Counter How many execution requests are handled by this server. How many execution requests are handled by this server. handler: ExecutionService handler: ExecutionService service_id service_id service_id party_id party_id party_id action action action code: error code of response code: error code of response code: error code of response execution_request_duration_millisecondsSummarySummary of execution service api request duration in milliseconds  with  0.5-quantile, 0.9-quantile, 0.99-quantilehandler: ExecutionService execution_request_duration_milliseconds execution_request_duration_milliseconds Summary Summary Summary of execution service api request duration in milliseconds  with  0.5-quantile, 0.9-quantile, 0.99-quantile Summary of execution service api request duration in milliseconds  with  0.5-quantile, 0.9-quantile, 0.99-quantile handler: ExecutionService handler: ExecutionService service_id service_id service_id party_id party_id party_id action action action "],[267,"nametypedesclabelsmodel_service_request_countCounterHow many execution requests are handled by this server.handler: ModelServiceservice_idparty_idactioncode: error code of responsemodel_service_request_duration_millisecondsSummarySummary of model service api request duration in milliseconds  with  0.5-quantile, 0.9-quantile, 0.99-quantilehandler: ModelServiceservice_idparty_idaction nametypedesclabels nametypedesclabels name name type type desc desc labels labels model_service_request_countCounterHow many execution requests are handled by this server.handler: ModelServiceservice_idparty_idactioncode: error code of responsemodel_service_request_duration_millisecondsSummarySummary of model service api request duration in milliseconds  with  0.5-quantile, 0.9-quantile, 0.99-quantilehandler: ModelServiceservice_idparty_idaction model_service_request_countCounterHow many execution requests are handled by this server.handler: ModelService model_service_request_count model_service_request_count Counter Counter How many execution requests are handled by this server. How many execution requests are handled by this server. handler: ModelService handler: ModelService service_id service_id service_id party_id party_id party_id action action action code: error code of response code: error code of response code: error code of response model_service_request_duration_millisecondsSummarySummary of model service api request duration in milliseconds  with  0.5-quantile, 0.9-quantile, 0.99-quantilehandler: ModelService model_service_request_duration_milliseconds model_service_request_duration_milliseconds Summary Summary Summary of model service api request duration in milliseconds  with  0.5-quantile, 0.9-quantile, 0.99-quantile Summary of model service api request duration in milliseconds  with  0.5-quantile, 0.9-quantile, 0.99-quantile handler: ModelService handler: ModelService service_id service_id service_id party_id party_id party_id action action action "],[176,"Nodes are instances of operators. They store the attribute values (AttrValue) of the operators. AttrValue "],[147,"Only for Inferencer tool use. FieldTypeDescriptionfile_path stringInput file path, specifies where to load datafile_format stringInput file format. Optional value: CSV Default: CSVid_name stringId column name, associated with FeatureParam::query_datas Query datas is a subset of id columnblock_size int32Optional. This determines the size(byte) of each read batch. FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description file_path stringInput file path, specifies where to load datafile_format stringInput file format. Optional value: CSV Default: CSVid_name stringId column name, associated with FeatureParam::query_datas Query datas is a subset of id columnblock_size int32Optional. This determines the size(byte) of each read batch. file_path stringInput file path, specifies where to load data file_path file_path  string  string  string  string Input file path, specifies where to load data Input file path, specifies where to load data file_format stringInput file format. Optional value: CSV Default: CSV file_format file_format  string  string  string  string Input file format. Optional value: CSV Default: CSV Input file format. Optional value: CSV Default: CSV id_name stringId column name, associated with FeatureParam::query_datas Query datas is a subset of id column id_name id_name  string  string  string  string Id column name, associated with FeatureParam::query_datas Query datas is a subset of id column Id column name, associated with FeatureParam::query_datas Query datas is a subset of id column block_size int32Optional. This determines the size(byte) of each read batch. block_size block_size  int32  int32  int32  int32 Optional. This determines the size(byte) of each read batch. Optional. This determines the size(byte) of each read batch.  "],[27,"ONLY for Reference by ResponseHeader\nIt’s subset of google.rpc.Code NameNumberDescriptionOK0Not an error; returned on success NameNumberDescription NameNumberDescription Name Name Number Number Description Description OK0Not an error; returned on success OK0Not an error; returned on success OK OK 0 0 Not an error; returned on success Not an error; returned on success HTTP Mapping: 200 OK |\n| INVALID_ARGUMENT | 3 | The client specified an invalid argument. Note that this differs from FAILED_PRECONDITION. INVALID_ARGUMENT indicates arguments that are problematic regardless of the state of the system (e.g., a malformed file name). FAILED_PRECONDITION INVALID_ARGUMENT HTTP Mapping: 400 Bad Request |\n| DEADLINE_EXCEEDED | 4 | The deadline expired before the operation could complete. For operations that change the state of the system, this error may be returned even if the operation has completed successfully. For example, a successful response from a server could have been delayed long enough for the deadline to expire. HTTP Mapping: 504 Gateway Timeout |\n| NOT_FOUND | 5 | Some requested entity (e.g., file or directory) was not found. Note to server developers: if a request is denied for an entire class of users, such as gradual feature rollout or undocumented whitelist, NOT_FOUND may be used. If a request is denied for some users within a class of users, such as user-based access control, PERMISSION_DENIED must be used. NOT_FOUND PERMISSION_DENIED HTTP Mapping: 404 Not Found |\n| INTERNAL_ERROR | 13 | Internal errors. This means that some invariants expected by the underlying system have been broken. This error code is reserved for serious errors. HTTP Mapping: 500 Internal Server Error |\n| UNAUTHENTICATED | 16 | The request does not have valid authentication credentials for the operation. HTTP Mapping: 401 Unauthorized |  "],[219,"Operator version: 0.0.1 Accept the weighted results from multiple trees, then merge them. "],[238,"Operator version: 0.0.1 Decrypt and calculate the prediction score of the tree ensemble "],[243,"Operator version: 0.0.1 Merge the PHE_2P_TREE_SELECT output from multiple parties to obtain a unique prediction path and return the tree weight. PHE_2P_TREE_SELECT "],[228,"Operator version: 0.0.1 Merge the TREE_SELECT output from multiple parties to obtain a unique prediction path and return the result weights. TREE_SELECT "],[184,"Operator version: 0.0.1 Obtaining the local prediction path information of the decision tree using input features. "],[188,"Operator version: 0.0.1 Obtaining the local prediction path information of the decision tree using input features. "],[192,"Operator version: 0.0.1 Replay secretflow compute functions "],[210,"Operator version: 0.0.1 Two-party computation operator. Decrypt the obfuscated partial_y and add a random number. "],[197,"Operator version: 0.0.1 Two-party computation operator. Load the encrypted feature weights, compute their dot product with the feature values, and add random noise to the result for obfuscation. Only supports computation between two parties, with the weights being encrypted using the other party’s key. "],[223,"Operator version: 0.0.1 Two-party computation operator. Merge the obfuscated partial_y decrypted by the peer party with the partial_y based on self own key to obtain the final prediction score. "],[233,"Operator version: 0.0.1 Two-party computation operator. Select data encrypted by either our side or the peer party according to the configuration. "],[205,"Operator version: 0.0.2 Accept the weighted results from multiple trees (TREE_SELECT + TREE_MERGE), merge them, and obtain the final prediction result of the tree ensemble. TREE_SELECT TREE_MERGE "],[201,"Operator version: 0.0.2 Calculate the dot product of feature weights and values "],[214,"Operator version: 0.0.3 Merge all partial y(score) and apply link function "],[172,"Operators describe specific computations. By combining operators, different model computations can be achieved. Plain operators perform computations using local data only, while secure computation operators collaborate with peer operators from other participants for secure computations. "],[174,"Operators have various attributes determined by their definitions. These attributes and their data support the operators in completing computations. "],[145,"Options for a http feature source which should implement the feature service\nspi. The defined of spi can be found in\nsecretflow_serving/spis/batch_feature_service.proto FieldTypeDescriptionendpoint stringnoneenable_lb boolWhether to enable round robin load balancer. Default: Falseconnect_timeout_ms int32Max duration for a connect. -1 means wait indefinitely. Default: 500 (ms)timeout_ms int32Max duration of http request. -1 means wait indefinitely. Default: 1000 (ms)tls_config TlsConfigTLS related config.retry_policy_config RetryPolicyConfigRetry policy config. FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description endpoint stringnoneenable_lb boolWhether to enable round robin load balancer. Default: Falseconnect_timeout_ms int32Max duration for a connect. -1 means wait indefinitely. Default: 500 (ms)timeout_ms int32Max duration of http request. -1 means wait indefinitely. Default: 1000 (ms)tls_config TlsConfigTLS related config.retry_policy_config RetryPolicyConfigRetry policy config. endpoint stringnone endpoint endpoint  string  string  string  string none none enable_lb boolWhether to enable round robin load balancer. Default: False enable_lb enable_lb  bool  bool  bool  bool Whether to enable round robin load balancer. Default: False Whether to enable round robin load balancer. Default: False connect_timeout_ms int32Max duration for a connect. -1 means wait indefinitely. Default: 500 (ms) connect_timeout_ms connect_timeout_ms  int32  int32  int32  int32 Max duration for a connect. -1 means wait indefinitely. Default: 500 (ms) Max duration for a connect. -1 means wait indefinitely. Default: 500 (ms) timeout_ms int32Max duration of http request. -1 means wait indefinitely. Default: 1000 (ms) timeout_ms timeout_ms  int32  int32  int32  int32 Max duration of http request. -1 means wait indefinitely. Default: 1000 (ms) Max duration of http request. -1 means wait indefinitely. Default: 1000 (ms) tls_config TlsConfigTLS related config. tls_config tls_config  TlsConfig  TlsConfig  TlsConfig TLS related config. TLS related config. retry_policy_config RetryPolicyConfigRetry policy config. retry_policy_config retry_policy_config  RetryPolicyConfig  RetryPolicyConfig  RetryPolicyConfig Retry policy config. Retry policy config.  "],[146,"Options for a mock feature source.\nMock feature source will generates values(random or fixed, according to type)\nfor the desired features. FieldTypeDescriptiontype MockDataTypedefault MDT_FIXED FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description type MockDataTypedefault MDT_FIXED type MockDataTypedefault MDT_FIXED type type  MockDataType  MockDataType  MockDataType default MDT_FIXED default MDT_FIXED  "],[153,"Options for a Oss model source. Serving accesses data services using the AWS\nS3 protocol. FieldTypeDescriptionaccess_key stringBucket access keysecret_key stringBucket secret keyvirtual_hosted boolWhether to use virtual host mode, ref: https://docs.aws.amazon.com/AmazonS3/latest/userguide/VirtualHosting.html Defalut: Falseendpoint stringnonebucket stringnone FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description access_key stringBucket access keysecret_key stringBucket secret keyvirtual_hosted boolWhether to use virtual host mode, ref: https://docs.aws.amazon.com/AmazonS3/latest/userguide/VirtualHosting.html Defalut: Falseendpoint stringnonebucket stringnone access_key stringBucket access key access_key access_key  string  string  string  string Bucket access key Bucket access key secret_key stringBucket secret key secret_key secret_key  string  string  string  string Bucket secret key Bucket secret key virtual_hosted boolWhether to use virtual host mode, ref: https://docs.aws.amazon.com/AmazonS3/latest/userguide/VirtualHosting.html Defalut: False virtual_hosted virtual_hosted  bool  bool  bool  bool Whether to use virtual host mode, ref: https://docs.aws.amazon.com/AmazonS3/latest/userguide/VirtualHosting.html Defalut: False Whether to use virtual host mode, ref: https://docs.aws.amazon.com/AmazonS3/latest/userguide/VirtualHosting.html Defalut: False https://docs.aws.amazon.com/AmazonS3/latest/userguide/VirtualHosting.html endpoint stringnone endpoint endpoint  string  string  string  string none none bucket stringnone bucket bucket  string  string  string  string none none  "],[143,"Options of a csv feature source. FieldTypeDescriptionfile_path stringInput file path, specifies where to load data Note that this will load all of the data into memory at onceid_name stringId column name, associated with FeatureParam::query_datas Query datas is a subset of id columnstreaming_mode boolOptional. Only for Inferencer tool use. Defatult: falseblock_size int32Optional. Valid only if streaming_mode=true. This determines the size(byte) of each read batch. FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description file_path stringInput file path, specifies where to load data Note that this will load all of the data into memory at onceid_name stringId column name, associated with FeatureParam::query_datas Query datas is a subset of id columnstreaming_mode boolOptional. Only for Inferencer tool use. Defatult: falseblock_size int32Optional. Valid only if streaming_mode=true. This determines the size(byte) of each read batch. file_path stringInput file path, specifies where to load data Note that this will load all of the data into memory at once file_path file_path  string  string  string  string Input file path, specifies where to load data Note that this will load all of the data into memory at once Input file path, specifies where to load data Note that this will load all of the data into memory at once id_name stringId column name, associated with FeatureParam::query_datas Query datas is a subset of id column id_name id_name  string  string  string  string Id column name, associated with FeatureParam::query_datas Query datas is a subset of id column Id column name, associated with FeatureParam::query_datas Query datas is a subset of id column streaming_mode boolOptional. Only for Inferencer tool use. Defatult: false streaming_mode streaming_mode  bool  bool  bool  bool Optional. Only for Inferencer tool use. Defatult: false Optional. Only for Inferencer tool use. Defatult: false block_size int32Optional. Valid only if streaming_mode=true. This determines the size(byte) of each read batch. block_size block_size  int32  int32  int32  int32 Optional. Valid only if streaming_mode=true. This determines the size(byte) of each read batch. Optional. Valid only if streaming_mode=true. This determines the size(byte) of each read batch. streaming_mode=true  "],[101,"Predict request containing one or more requests.\nexamples:  FieldTypeDescriptionheader HeaderCustom data. The header will be passed to the downstream system which implement the feature service spi.service_spec ServiceSpecModel service specification.fs_paramsmap PredictRequest.FsParamsEntryThe params for fetch features. Note that this should include all the parties involved in the prediction. When using the feature service as the source of feature data, serving does not consume this parameter but instead passes it through to the feature service for consumption. Key: party’s id. Value: params for fetch features.predefined_featuresrepeated secretflow.serving.FeatureOptional. If defined, the request party will no longer query for the feature but will use defined fetures in predefined_features for the prediction. FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description header HeaderCustom data. The header will be passed to the downstream system which implement the feature service spi.service_spec ServiceSpecModel service specification.fs_paramsmap PredictRequest.FsParamsEntryThe params for fetch features. Note that this should include all the parties involved in the prediction. When using the feature service as the source of feature data, serving does not consume this parameter but instead passes it through to the feature service for consumption. Key: party’s id. Value: params for fetch features.predefined_featuresrepeated secretflow.serving.FeatureOptional. If defined, the request party will no longer query for the feature but will use defined fetures in predefined_features for the prediction. header HeaderCustom data. The header will be passed to the downstream system which implement the feature service spi. header header  Header  Header  Header Custom data. The header will be passed to the downstream system which implement the feature service spi. Custom data. The header will be passed to the downstream system which implement the feature service spi. service_spec ServiceSpecModel service specification. service_spec service_spec  ServiceSpec  ServiceSpec  ServiceSpec Model service specification. Model service specification. fs_paramsmap PredictRequest.FsParamsEntryThe params for fetch features. Note that this should include all the parties involved in the prediction. When using the feature service as the source of feature data, serving does not consume this parameter but instead passes it through to the feature service for consumption. Key: party’s id. Value: params for fetch features. fs_params fs_params map PredictRequest.FsParamsEntry map PredictRequest.FsParamsEntry map PredictRequest.FsParamsEntry map PredictRequest.FsParamsEntry The params for fetch features. Note that this should include all the parties involved in the prediction. When using the feature service as the source of feature data, serving does not consume this parameter but instead passes it through to the feature service for consumption. Key: party’s id. Value: params for fetch features. The params for fetch features. Note that this should include all the parties involved in the prediction. When using the feature service as the source of feature data, serving does not consume this parameter but instead passes it through to the feature service for consumption. Key: party’s id. Value: params for fetch features. predefined_featuresrepeated secretflow.serving.FeatureOptional. If defined, the request party will no longer query for the feature but will use defined fetures in predefined_features for the prediction. predefined_features predefined_features repeated secretflow.serving.Feature repeated secretflow.serving.Feature repeated secretflow.serving.Feature Optional. If defined, the request party will no longer query for the feature but will use defined fetures in predefined_features for the prediction. Optional. If defined, the request party will no longer query for the feature but will use defined fetures in predefined_features for the prediction. predefined_features  "],[103,"Predict response containing one or more responses.\nexamples:  FieldTypeDescriptionheader HeaderCustom data. Passed by the downstream system which implement the feature service spi.status StatusStaus of this response.service_spec ServiceSpecModel service specification.resultsrepeated PredictResultList of the predict result. Returned in the same order as the request’s feature query data. FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description header HeaderCustom data. Passed by the downstream system which implement the feature service spi.status StatusStaus of this response.service_spec ServiceSpecModel service specification.resultsrepeated PredictResultList of the predict result. Returned in the same order as the request’s feature query data. header HeaderCustom data. Passed by the downstream system which implement the feature service spi. header header  Header  Header  Header Custom data. Passed by the downstream system which implement the feature service spi. Custom data. Passed by the downstream system which implement the feature service spi. status StatusStaus of this response. status status  Status  Status  Status Staus of this response. Staus of this response. service_spec ServiceSpecModel service specification. service_spec service_spec  ServiceSpec  ServiceSpec  ServiceSpec Model service specification. Model service specification. resultsrepeated PredictResultList of the predict result. Returned in the same order as the request’s feature query data. results results repeated PredictResult repeated PredictResult repeated PredictResult List of the predict result. Returned in the same order as the request’s feature query data. List of the predict result. Returned in the same order as the request’s feature query data.  "],[84,"PredictionService provides access to the serving model. "],[160,"Related config of serving FieldTypeDescriptionid stringUnique id of the serving serviceserver_conf ServerConfignonemodel_conf ModelConfignonecluster_conf ClusterConfignonefeature_source_conf FeatureSourceConfignone FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description id stringUnique id of the serving serviceserver_conf ServerConfignonemodel_conf ModelConfignonecluster_conf ClusterConfignonefeature_source_conf FeatureSourceConfignone id stringUnique id of the serving service id id  string  string  string  string Unique id of the serving service Unique id of the serving service server_conf ServerConfignone server_conf server_conf  ServerConfig  ServerConfig  ServerConfig none none model_conf ModelConfignone model_conf model_conf  ModelConfig  ModelConfig  ModelConfig none none cluster_conf ClusterConfignone cluster_conf cluster_conf  ClusterConfig  ClusterConfig  ClusterConfig none none feature_source_conf FeatureSourceConfignone feature_source_conf feature_source_conf  FeatureSourceConfig  FeatureSourceConfig  FeatureSourceConfig none none  "],[45,"Representation operator property FieldTypeDescriptionreturnable boolThe operator’s output can be the final resultmergeable boolThe operator accept the output of operators with different participants and will somehow merge them.session_run boolThe operator needs to be executed in session. TODO: not supported yet.variable_inputs boolWhether this op has variable input argument. default false. FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description returnable boolThe operator’s output can be the final resultmergeable boolThe operator accept the output of operators with different participants and will somehow merge them.session_run boolThe operator needs to be executed in session. TODO: not supported yet.variable_inputs boolWhether this op has variable input argument. default false. returnable boolThe operator’s output can be the final result returnable returnable  bool  bool  bool  bool The operator’s output can be the final result The operator’s output can be the final result mergeable boolThe operator accept the output of operators with different participants and will somehow merge them. mergeable mergeable  bool  bool  bool  bool The operator accept the output of operators with different participants and will somehow merge them. The operator accept the output of operators with different participants and will somehow merge them. session_run boolThe operator needs to be executed in session. TODO: not supported yet. session_run session_run  bool  bool  bool  bool The operator needs to be executed in session. TODO: not supported yet. The operator needs to be executed in session. TODO: not supported yet. variable_inputs boolWhether this op has variable input argument. default false. variable_inputs variable_inputs  bool  bool  bool  bool Whether this op has variable input argument. default false. Whether this op has variable input argument. default false. false  "],[56,"Represents a secertflow model without private data. FieldTypeDescriptionname stringnonedesc stringnonegraph_view GraphViewnone FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description name stringnonedesc stringnonegraph_view GraphViewnone name stringnone name name  string  string  string  string none none desc stringnone desc desc  string  string  string  string none none graph_view GraphViewnone graph_view graph_view  GraphView  GraphView  GraphView none none  "],[62,"Represents a single value with a specific data type. FieldTypeDescriptiononeof value.i8 int32INT8.oneof value.ui8 int32UINT8oneof value.i16 int32INT16oneof value.ui16 int32UINT16oneof value.i32 int32INT32oneof value.ui32 uint32UINT32oneof value.i64 int64INT64oneof value.ui64 uint64UINT64oneof value.f floatFLOAToneof value.d doubleDOUBLEoneof value.s stringSTRINGoneof value.b boolBOOL FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description oneof value.i8 int32INT8.oneof value.ui8 int32UINT8oneof value.i16 int32INT16oneof value.ui16 int32UINT16oneof value.i32 int32INT32oneof value.ui32 uint32UINT32oneof value.i64 int64INT64oneof value.ui64 uint64UINT64oneof value.f floatFLOAToneof value.d doubleDOUBLEoneof value.s stringSTRINGoneof value.b boolBOOL oneof value.i8 int32INT8. oneof value.i8 oneof value.i8 oneof oneof  int32  int32  int32  int32 INT8. INT8. oneof value.ui8 int32UINT8 oneof value.ui8 oneof value.ui8 oneof oneof  int32  int32  int32  int32 UINT8 UINT8 oneof value.i16 int32INT16 oneof value.i16 oneof value.i16 oneof oneof  int32  int32  int32  int32 INT16 INT16 oneof value.ui16 int32UINT16 oneof value.ui16 oneof value.ui16 oneof oneof  int32  int32  int32  int32 UINT16 UINT16 oneof value.i32 int32INT32 oneof value.i32 oneof value.i32 oneof oneof  int32  int32  int32  int32 INT32 INT32 oneof value.ui32 uint32UINT32 oneof value.ui32 oneof value.ui32 oneof oneof  uint32  uint32  uint32  uint32 UINT32 UINT32 oneof value.i64 int64INT64 oneof value.i64 oneof value.i64 oneof oneof  int64  int64  int64  int64 INT64 INT64 oneof value.ui64 uint64UINT64 oneof value.ui64 oneof value.ui64 oneof oneof  uint64  uint64  uint64  uint64 UINT64 UINT64 oneof value.f floatFLOAT oneof value.f oneof value.f oneof oneof  float  float  float  float FLOAT FLOAT oneof value.d doubleDOUBLE oneof value.d oneof value.d oneof oneof  double  double  double  double DOUBLE DOUBLE oneof value.s stringSTRING oneof value.s oneof value.s oneof oneof  string  string  string  string STRING STRING oneof value.b boolBOOL oneof value.b oneof value.b oneof oneof  bool  bool  bool  bool BOOL BOOL  "],[67,"Represents a single value with a specific data type. FieldTypeDescriptiononeof value.i8 int32INT8.oneof value.ui8 int32UINT8oneof value.i16 int32INT16oneof value.ui16 int32UINT16oneof value.i32 int32INT32oneof value.ui32 uint32UINT32oneof value.i64 int64INT64oneof value.ui64 uint64UINT64oneof value.f floatFLOAToneof value.d doubleDOUBLEoneof value.s stringSTRINGoneof value.b boolBOOL FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description oneof value.i8 int32INT8.oneof value.ui8 int32UINT8oneof value.i16 int32INT16oneof value.ui16 int32UINT16oneof value.i32 int32INT32oneof value.ui32 uint32UINT32oneof value.i64 int64INT64oneof value.ui64 uint64UINT64oneof value.f floatFLOAToneof value.d doubleDOUBLEoneof value.s stringSTRINGoneof value.b boolBOOL oneof value.i8 int32INT8. oneof value.i8 oneof value.i8 oneof oneof  int32  int32  int32  int32 INT8. INT8. oneof value.ui8 int32UINT8 oneof value.ui8 oneof value.ui8 oneof oneof  int32  int32  int32  int32 UINT8 UINT8 oneof value.i16 int32INT16 oneof value.i16 oneof value.i16 oneof oneof  int32  int32  int32  int32 INT16 INT16 oneof value.ui16 int32UINT16 oneof value.ui16 oneof value.ui16 oneof oneof  int32  int32  int32  int32 UINT16 UINT16 oneof value.i32 int32INT32 oneof value.i32 oneof value.i32 oneof oneof  int32  int32  int32  int32 INT32 INT32 oneof value.ui32 uint32UINT32 oneof value.ui32 oneof value.ui32 oneof oneof  uint32  uint32  uint32  uint32 UINT32 UINT32 oneof value.i64 int64INT64 oneof value.i64 oneof value.i64 oneof oneof  int64  int64  int64  int64 INT64 INT64 oneof value.ui64 uint64UINT64 oneof value.ui64 oneof value.ui64 oneof oneof  uint64  uint64  uint64  uint64 UINT64 UINT64 oneof value.f floatFLOAT oneof value.f oneof value.f oneof oneof  float  float  float  float FLOAT FLOAT oneof value.d doubleDOUBLE oneof value.d oneof value.d oneof oneof  double  double  double  double DOUBLE DOUBLE oneof value.s stringSTRING oneof value.s oneof value.s oneof oneof  string  string  string  string STRING STRING oneof value.b boolBOOL oneof value.b oneof value.b oneof oneof  bool  bool  bool  bool BOOL BOOL  "],[55,"Represents an exported secertflow model. It consists of a GraphDef and extra\nmetadata required for serving. FieldTypeDescriptionname stringnonedesc stringnonegraph GraphDefnone FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description name stringnonedesc stringnonegraph GraphDefnone name stringnone name name  string  string  string  string none none desc stringnone desc desc  string  string  string  string none none graph GraphDefnone graph graph  GraphDef  GraphDef  GraphDef none none  "],[134,"Represents info of a service span FieldTypeDescriptionmodel_service_id stringModel service specification.party_id stringparty id of generator of this span FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description model_service_id stringModel service specification.party_id stringparty id of generator of this span model_service_id stringModel service specification. model_service_id model_service_id  string  string  string  string Model service specification. Model service specification. party_id stringparty id of generator of this span party_id party_id  string  string  string  string party id of generator of this span party id of generator of this span  "],[96,"Represents the node input/output data. FieldTypeDescriptionname stringNode name.iosrepeated IoDatanone FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description name stringNode name.iosrepeated IoDatanone name stringNode name. name name  string  string  string  string Node name. Node name. iosrepeated IoDatanone ios ios repeated IoData repeated IoData repeated IoData none none  "],[106,"Represents the status of a request FieldTypeDescriptioncode int32The code of this status. Must be one of ErrorCode in error_code.protomsg stringThe msg of this status. FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description code int32The code of this status. Must be one of ErrorCode in error_code.protomsg stringThe msg of this status. code int32The code of this status. Must be one of ErrorCode in error_code.proto code code  int32  int32  int32  int32 The code of this status. Must be one of ErrorCode in error_code.proto The code of this status. Must be one of ErrorCode in error_code.proto msg stringThe msg of this status. msg msg  string  string  string  string The msg of this status. The msg of this status.  "],[21,"Represents the status of spi request FieldTypeDescriptioncode int32code value reference ErrorCode in secretflow_serving/spis/error_code.protomsg stringnone FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description code int32code value reference ErrorCode in secretflow_serving/spis/error_code.protomsg stringnone code int32code value reference ErrorCode in secretflow_serving/spis/error_code.proto code code  int32  int32  int32  int32 code value reference ErrorCode in secretflow_serving/spis/error_code.proto code value reference ErrorCode in secretflow_serving/spis/error_code.proto ErrorCode msg stringnone msg msg  string  string  string  string none none  "],[105,"Result of regression or one class of Classifications FieldTypeDescriptionname stringThe name of the score, it depends on the attribute configuration of the model.value doubleThe value of the score. FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description name stringThe name of the score, it depends on the attribute configuration of the model.value doubleThe value of the score. name stringThe name of the score, it depends on the attribute configuration of the model. name name  string  string  string  string The name of the score, it depends on the attribute configuration of the model. The name of the score, it depends on the attribute configuration of the model. value doubleThe value of the score. value value  double  double  double  double The value of the score. The value of the score.  "],[104,"Result of single predict request. FieldTypeDescriptionscoresrepeated ScoreAccording to the model, there may be one or multi scores. FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description scoresrepeated ScoreAccording to the model, there may be one or multi scores. scoresrepeated ScoreAccording to the model, there may be one or multi scores. scores scores repeated Score repeated Score repeated Score According to the model, there may be one or multi scores. According to the model, there may be one or multi scores.  "],[141,"Runtime config for a serving cluster FieldTypeDescriptionpartiesrepeated PartyDescnoneself_id stringnonechannel_desc ChannelDescnone FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description partiesrepeated PartyDescnoneself_id stringnonechannel_desc ChannelDescnone partiesrepeated PartyDescnone parties parties repeated PartyDesc repeated PartyDesc repeated PartyDesc none none self_id stringnone self_id self_id  string  string  string  string none none channel_desc ChannelDescnone channel_desc channel_desc  ChannelDesc  ChannelDesc  ChannelDesc none none  "],[258,"Secretflow-Serving currently supports two observation types: logs and metrics. "],[256,"SecretFlow-Serving has defined a feature fetching SPI, users need to implement the SPI and deploy it as an http/https service to provide the capability to fetch feature data. The SPI definition can be found here. here The feature service interface is an HTTP interface where both the request and response bodies are in the application/json format. The details are as follows: application/json URL: http://xxxxx/BatchFeatureService/BatchFetchFeatureMethod: POSTHeaders: Content-Type: application/json URL: http://xxxxx/BatchFeatureService/BatchFetchFeature URL http://xxxxx/BatchFeatureService/BatchFetchFeature Method: POST Method Headers: Content-Type: application/json Headers Example of request body:  Field description: Field description NameTypeDescriptionRequiredheaderObject(Header)Custom data passed by the Predict request’s header.Noheader.dataMapKey:str, Value:strNomodel_service_idstrModel service specification idYesparty_idstrParty specification idYesfeature_fields[]List(FeatureField)Request feature field listYesfeature_fields[].namestrUnique name of the featureYesfeature_fields[].typeenum(FieldType)Field type of the featureYesparamObject(FeatureParam)Custom parameters data for querying feature values, the specific content format of which is determined by the feature datasource provider. Each one for query one row of features.Yesparam.query_datas[]List(str)The serialized datas for query features. Each one for query one row of features.Yesparam.query_contextstrOptional. Represents the common part of the query datas.No NameTypeDescriptionRequired NameTypeDescriptionRequired Name Name Type Type Description Description Required Required headerObject(Header)Custom data passed by the Predict request’s header.Noheader.dataMapKey:str, Value:strNomodel_service_idstrModel service specification idYesparty_idstrParty specification idYesfeature_fields[]List(FeatureField)Request feature field listYesfeature_fields[].namestrUnique name of the featureYesfeature_fields[].typeenum(FieldType)Field type of the featureYesparamObject(FeatureParam)Custom parameters data for querying feature values, the specific content format of which is determined by the feature datasource provider. Each one for query one row of features.Yesparam.query_datas[]List(str)The serialized datas for query features. Each one for query one row of features.Yesparam.query_contextstrOptional. Represents the common part of the query datas.No headerObject(Header)Custom data passed by the Predict request’s header.No header header Object(Header) Object(Header) Custom data passed by the Predict request’s header. Custom data passed by the Predict request’s header. No No header.dataMapKey:str, Value:strNo header.data header.data Map Map Key:str, Value:str Key:str, Value:str No No model_service_idstrModel service specification idYes model_service_id model_service_id str str Model service specification id Model service specification id Yes Yes party_idstrParty specification idYes party_id party_id str str Party specification id Party specification id Yes Yes feature_fields[]List(FeatureField)Request feature field listYes feature_fields[] feature_fields[] List(FeatureField) List(FeatureField) Request feature field list Request feature field list Yes Yes feature_fields[].namestrUnique name of the featureYes feature_fields[].name feature_fields[].name str str Unique name of the feature Unique name of the feature Yes Yes feature_fields[].typeenum(FieldType)Field type of the featureYes feature_fields[].type feature_fields[].type enum(FieldType) enum(FieldType) Field type of the feature Field type of the feature Yes Yes paramObject(FeatureParam)Custom parameters data for querying feature values, the specific content format of which is determined by the feature datasource provider. Each one for query one row of features.Yes param param Object(FeatureParam) Object(FeatureParam) Custom parameters data for querying feature values, the specific content format of which is determined by the feature datasource provider. Each one for query one row of features. Custom parameters data for querying feature values, the specific content format of which is determined by the feature datasource provider. Each one for query one row of features. Yes Yes param.query_datas[]List(str)The serialized datas for query features. Each one for query one row of features.Yes param.query_datas[] param.query_datas[] List(str) List(str) The serialized datas for query features. Each one for query one row of features. The serialized datas for query features. Each one for query one row of features. Yes Yes param.query_contextstrOptional. Represents the common part of the query datas.No param.query_context param.query_context str str Optional. Represents the common part of the query datas. Optional. Represents the common part of the query datas. No No Example of response body:  Field description: Field description NameTypeDescriptionRequiredheaderObject(Header)Custom dataNoheader.dataMapKey:str, Value:strNostatusObject(Status)The Status of this responseYesstatus.codeenum(ErrorCode)Value reference ErrorCodeYesstatus.msgstrThe detail message of the statusYesfeaturesListThe Request feature data listYesfeatures[].fieldObject(FeatureField)The definition of a feature fieldYesfeatures[].field.namestrUnique name of the featureYesfeatures[].field.typeenum(FieldType)Field type of the featureYesfeatures[].valueObject(FeatureValue)The definition of a feature valueYesfeatures[].value.i32s[]Listint32 feature value data listNo(assign the corresponding value list based on field.type)features[].value.i64s[]Listint64 feature value data listNo(assign the corresponding value list based on field.type)features[].value.fs[]Listfloat feature value data listNo(assign the corresponding value list based on field.type)features[].value.ds[]Listdouble feature value data listNo(assign the corresponding value list based on field.type)features[].value.ss[]Liststring feature value data listNo(assign the corresponding value list based on field.type)features[].value.bs[]Listbool feature value data listNo(assign the corresponding value list based on field.type) NameTypeDescriptionRequired NameTypeDescriptionRequired Name Name Type Type Description Description Required Required headerObject(Header)Custom dataNoheader.dataMapKey:str, Value:strNostatusObject(Status)The Status of this responseYesstatus.codeenum(ErrorCode)Value reference ErrorCodeYesstatus.msgstrThe detail message of the statusYesfeaturesListThe Request feature data listYesfeatures[].fieldObject(FeatureField)The definition of a feature fieldYesfeatures[].field.namestrUnique name of the featureYesfeatures[].field.typeenum(FieldType)Field type of the featureYesfeatures[].valueObject(FeatureValue)The definition of a feature valueYesfeatures[].value.i32s[]Listint32 feature value data listNo(assign the corresponding value list based on field.type)features[].value.i64s[]Listint64 feature value data listNo(assign the corresponding value list based on field.type)features[].value.fs[]Listfloat feature value data listNo(assign the corresponding value list based on field.type)features[].value.ds[]Listdouble feature value data listNo(assign the corresponding value list based on field.type)features[].value.ss[]Liststring feature value data listNo(assign the corresponding value list based on field.type)features[].value.bs[]Listbool feature value data listNo(assign the corresponding value list based on field.type) headerObject(Header)Custom dataNo header header Object(Header) Object(Header) Custom data Custom data No No header.dataMapKey:str, Value:strNo header.data header.data Map Map Key:str, Value:str Key:str, Value:str No No statusObject(Status)The Status of this responseYes status status Object(Status) Object(Status) The Status of this response The Status of this response Yes Yes status.codeenum(ErrorCode)Value reference ErrorCodeYes status.code status.code enum(ErrorCode) enum(ErrorCode) Value reference ErrorCode Value reference ErrorCode ErrorCode Yes Yes status.msgstrThe detail message of the statusYes status.msg status.msg str str The detail message of the status The detail message of the status Yes Yes featuresListThe Request feature data listYes features features List List The Request feature data list The Request feature data list Yes Yes features[].fieldObject(FeatureField)The definition of a feature fieldYes features[].field features[].field Object(FeatureField) Object(FeatureField) The definition of a feature field The definition of a feature field Yes Yes features[].field.namestrUnique name of the featureYes features[].field.name features[].field.name str str Unique name of the feature Unique name of the feature Yes Yes features[].field.typeenum(FieldType)Field type of the featureYes features[].field.type features[].field.type enum(FieldType) enum(FieldType) Field type of the feature Field type of the feature Yes Yes features[].valueObject(FeatureValue)The definition of a feature valueYes features[].value features[].value Object(FeatureValue) Object(FeatureValue) The definition of a feature value The definition of a feature value Yes Yes features[].value.i32s[]Listint32 feature value data listNo(assign the corresponding value list based on field.type) features[].value.i32s[] features[].value.i32s[] List List int32 feature value data list int32 feature value data list No(assign the corresponding value list based on field.type) No(assign the corresponding value list based on field.type) field.type features[].value.i64s[]Listint64 feature value data listNo(assign the corresponding value list based on field.type) features[].value.i64s[] features[].value.i64s[] List List int64 feature value data list int64 feature value data list No(assign the corresponding value list based on field.type) No(assign the corresponding value list based on field.type) field.type features[].value.fs[]Listfloat feature value data listNo(assign the corresponding value list based on field.type) features[].value.fs[] features[].value.fs[] List List float feature value data list float feature value data list No(assign the corresponding value list based on field.type) No(assign the corresponding value list based on field.type) field.type features[].value.ds[]Listdouble feature value data listNo(assign the corresponding value list based on field.type) features[].value.ds[] features[].value.ds[] List List double feature value data list double feature value data list No(assign the corresponding value list based on field.type) No(assign the corresponding value list based on field.type) field.type features[].value.ss[]Liststring feature value data listNo(assign the corresponding value list based on field.type) features[].value.ss[] features[].value.ss[] List List string feature value data list string feature value data list No(assign the corresponding value list based on field.type) No(assign the corresponding value list based on field.type) field.type features[].value.bs[]Listbool feature value data listNo(assign the corresponding value list based on field.type) features[].value.bs[] features[].value.bs[] List List bool feature value data list bool feature value data list No(assign the corresponding value list based on field.type) No(assign the corresponding value list based on field.type) field.type "],[1,"SecretFlow-Serving is a serving system for privacy-preserving machine learning models. "],[248,"SecretFlow-Serving is a serving system for privacy-preserving machine learning models. "],[250,"Secretflow-Serving leverages the model package trained with Secretflow to provide model prediction capabilities at different security levels. It achieves this by utilizing the online feature data provided by each participant without compromising the integrity of the original data domain.   "],[254,"Secretflow-Serving obtains the necessary features for the online inference process through the Feature Source. Currently, the platform supports the following feature data sources: \nHTTP Source: Secretflow-Serving defines a Service Provider Interface (SPI) for retrieving feature data. Feature providers can implement this SPI to supply features to Secretflow-Serving.\nCSV Source: Secretflow-Serving supports direct loading of CSV file as a feature source. For performance reasons, the CSV file is fully loaded into memory and features are filtered based on the ID column.\nMock Source: In this scenario, Secretflow-Serving uses randomly generated values as feature data.\n HTTP Source: Secretflow-Serving defines a Service Provider Interface (SPI) for retrieving feature data. Feature providers can implement this SPI to supply features to Secretflow-Serving. SPI CSV Source: Secretflow-Serving supports direct loading of CSV file as a feature source. For performance reasons, the CSV file is fully loaded into memory and features are filtered based on the ID column. Mock Source: In this scenario, Secretflow-Serving uses randomly generated values as feature data. "],[255,"SecretFlow-Serving recommends providing online prediction feature data by implementing a feature service. To use a feature service as a data source for supporting predictions, you can follow these steps: "],[280,"SecretFlow-Serving recommends using Kusica for deployment and management. Kusica "],[268,"Secretflow-Serving supports B3 Multiple Headers trace propagation protocol and\nuses the Opentelemetry standard to generate trace info.\nBy default, trace information will not be exported, but Secretflow-Serving will still propagate trace information.\nIf you want to export trace information, you can specifying trace_config_file option when starting SecretFlow-Serving.\nHowever, exporting trace information may cause some performance degradation. B3 Multiple Headers Opentelemetry trace_config_file However, exporting trace information may cause some performance degradation. "],[253,"Secretflow-Serving supports retrieving model packages from different storage sources. Currently, the following data sources are supported: \nLocal Filesystem Data Source: Secretflow-Serving loads the model package from a specified local path.\nOSS/S3 Data Source: Secretflow-Serving attempts to download the model package from the OSS/S3 storage based on the provided configuration before loading it locally.\n Local Filesystem Data Source: Secretflow-Serving loads the model package from a specified local path. OSS/S3 Data Source: Secretflow-Serving attempts to download the model package from the OSS/S3 storage based on the provided configuration before loading it locally. "],[261,"Secretflow-Serving uses the Prometheus standard to generate metrics.\nThe metric service is turned off by default,\nyou may start metric service by specifying metrics_exposer_port of ServerConfig.\nThen You can obtain the metrics by requesting MetricsService on this port.\nThat is to say, Serving supports pull mode.\nYou could use The Prometheus monitoring system to collect metrics,\nor simply use curl like this: Prometheus metrics_exposer_port ServerConfig MetricsService The Prometheus monitoring system curl  "],[11,"send predict request to Alice Alice  send predict request to Bob Bob  Please checkout SecretFlow-Serving API for the Predict API details. Please checkout SecretFlow-Serving API for the Predict API details. SecretFlow-Serving API SecretFlow-Serving API "],[148,"Serving log config options FieldTypeDescriptionsystem_log_path stringsystem log default value: “serving.log”log_level LogLeveldefault value: LogLevel.INFO_LOG_LEVELmax_log_file_size int32Byte. default value: 500 * 1024 * 1024 (500MB)max_log_file_count int32default value: 10 FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description system_log_path stringsystem log default value: “serving.log”log_level LogLeveldefault value: LogLevel.INFO_LOG_LEVELmax_log_file_size int32Byte. default value: 500 * 1024 * 1024 (500MB)max_log_file_count int32default value: 10 system_log_path stringsystem log default value: “serving.log” system_log_path system_log_path  string  string  string  string system log default value: “serving.log” system log default value: “serving.log” log_level LogLeveldefault value: LogLevel.INFO_LOG_LEVEL log_level log_level  LogLevel  LogLevel  LogLevel default value: LogLevel.INFO_LOG_LEVEL default value: LogLevel.INFO_LOG_LEVEL max_log_file_size int32Byte. default value: 500 * 1024 * 1024 (500MB) max_log_file_size max_log_file_size  int32  int32  int32  int32 Byte. default value: 500 * 1024 * 1024 (500MB) Byte. default value: 500 * 1024 * 1024 (500MB) max_log_file_count int32default value: 10 max_log_file_count max_log_file_count  int32  int32  int32  int32 default value: 10 default value: 10  "],[166,"Serving log level NameNumberDescriptionINVALID_LOG_LEVEL0Placeholder for proto3 default value, do not use it.DEBUG_LOG_LEVEL1debugINFO_LOG_LEVEL2infoWARN_LOG_LEVEL3warnERROR_LOG_LEVEL4error NameNumberDescription NameNumberDescription Name Name Number Number Description Description INVALID_LOG_LEVEL0Placeholder for proto3 default value, do not use it.DEBUG_LOG_LEVEL1debugINFO_LOG_LEVEL2infoWARN_LOG_LEVEL3warnERROR_LOG_LEVEL4error INVALID_LOG_LEVEL0Placeholder for proto3 default value, do not use it. INVALID_LOG_LEVEL INVALID_LOG_LEVEL 0 0 Placeholder for proto3 default value, do not use it. Placeholder for proto3 default value, do not use it. DEBUG_LOG_LEVEL1debug DEBUG_LOG_LEVEL DEBUG_LOG_LEVEL 1 1 debug debug INFO_LOG_LEVEL2info INFO_LOG_LEVEL INFO_LOG_LEVEL 2 2 info info WARN_LOG_LEVEL3warn WARN_LOG_LEVEL WARN_LOG_LEVEL 3 3 warn warn ERROR_LOG_LEVEL4error ERROR_LOG_LEVEL ERROR_LOG_LEVEL 4 4 error error  "],[262,"Serving mainly records the number of interface requests and the request duration time for various services,\nwith some additional labels,\nsuch as the error code, party_id, etc. The sevices of Secretflow-Serving are shown below:   PredictRequest first goes to the PredictionService,\nand the PredictionService will then request the local ExecutionCore or\nthe remote ExecutionService according to the different DispatchType  in\nthe Graph. If the FeatureSourceType of request is FS_SERVICE,\nthen the ExecutionCore will request the BatchFeatureService. PredictRequest PredictionService PredictionService ExecutionCore ExecutionService DispatchType FeatureSourceType FS_SERVICE ExecutionCore BatchFeatureService GetModelInfoRequest goes to ModelService to get model info. Model info is public for all parties. GetModelInfoRequest ModelService Model info Metrics of Secretflow-Serving have the following parts: Prometheus supports a multi-dimensional data model with time series data identified by metric name and key/value pairs, called labels.\nSecretflow-Serving metrics have some common labels:\nhandler: the subject providing services\naction: operation name\nparty id: self_id of ClusterConfig\nservice_id: id of ServingConfig\nIf you want to know what is Counter or Summary, you could check out this page. Prometheus supports a multi-dimensional data model with time series data identified by metric name and key/value pairs, called labels.\nSecretflow-Serving metrics have some common labels: \nhandler: the subject providing services\naction: operation name\nparty id: self_id of ClusterConfig\nservice_id: id of ServingConfig\n handler: the subject providing services action: operation name party id: self_id of ClusterConfig self_id ClusterConfig ClusterConfig service_id: id of ServingConfig id ServingConfig ServingConfig If you want to know what is Counter or Summary, you could check out this page. Counter Summary this page "],[162,"Serving trace config options FieldTypeDescriptiontrace_log_enable booldump trace to a logfile, default: falsetrace_log_conf TraceLogConfigif trace_log_enable is true, use this log config to dump trace info FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description trace_log_enable booldump trace to a logfile, default: falsetrace_log_conf TraceLogConfigif trace_log_enable is true, use this log config to dump trace info trace_log_enable booldump trace to a logfile, default: false trace_log_enable trace_log_enable  bool  bool  bool  bool dump trace to a logfile, default: false dump trace to a logfile, default: false trace_log_conf TraceLogConfigif trace_log_enable is true, use this log config to dump trace info trace_log_conf trace_log_conf  TraceLogConfig  TraceLogConfig  TraceLogConfig if trace_log_enable is true, use this log config to dump trace info if trace_log_enable is true, use this log config to dump trace info  "],[263,"Serving will dump brpc internal metrics in Prometheus format, refer to issue. issue "],[182,"Since Secretflow-Serving Load models trained by Secretflow,\nSecretflow-Serving needs to export its operators. So\nsecretflow-serving-lib is a python library that\nprovides interfaces to obtain Secretflow-Serving operators and export model files that Secretflow-Serving can load.\nFor more details, please check secretflow-serving-lib docs. Secretflow operators secretflow-serving-lib secretflow-serving-lib docs "],[277,"Still using the above example of house price prediction, a simple tree model can be represented by the following figure. Non-leaf nodes contain a feature value, and leaf nodes contain predicted values. When predicting, starting from root node, if the current feature value is greater than the feature value of the node, the right node of the current node is used for calculation, otherwise the left node is used. If a leaf node is reached, the value of the current leaf node is used as the predicted value. As shown in the tree below, if we predict the house price with an area of 110 and a floor of 8, the yellow node in the picture below will be used, and the final predicted value is 2:   As can be seen from the above figure, a simple tree model is relatively rough, so there is a method of using multiple trees to calculate predicted values, and XGB is one of the better models. "],[113,"Support feature source type NameNumberDescriptionUNKNOWN_FS_TYPE0noneFS_NONE1No need features.FS_SERVICE2Fetch features from feature service.FS_PREDEFINED3The feature is defined in the request. NameNumberDescription NameNumberDescription Name Name Number Number Description Description UNKNOWN_FS_TYPE0noneFS_NONE1No need features.FS_SERVICE2Fetch features from feature service.FS_PREDEFINED3The feature is defined in the request. UNKNOWN_FS_TYPE0none UNKNOWN_FS_TYPE UNKNOWN_FS_TYPE 0 0 none none FS_NONE1No need features. FS_NONE FS_NONE 1 1 No need features. No need features. FS_SERVICE2Fetch features from feature service. FS_SERVICE FS_SERVICE 2 2 Fetch features from feature service. Fetch features from feature service. FS_PREDEFINED3The feature is defined in the request. FS_PREDEFINED FS_PREDEFINED 3 3 The feature is defined in the request. The feature is defined in the request.  "],[71,"Support model file format NameNumberDescriptionUNKNOWN_FF_TYPE0noneFF_PB1ProtobufFF_JSON2Json It is recommended to use protobuf’s official json serialization method to ensure compatibility NameNumberDescription NameNumberDescription Name Name Number Number Description Description UNKNOWN_FF_TYPE0noneFF_PB1ProtobufFF_JSON2Json It is recommended to use protobuf’s official json serialization method to ensure compatibility UNKNOWN_FF_TYPE0none UNKNOWN_FF_TYPE UNKNOWN_FF_TYPE 0 0 none none FF_PB1Protobuf FF_PB FF_PB 1 1 Protobuf Protobuf FF_JSON2Json It is recommended to use protobuf’s official json serialization method to ensure compatibility FF_JSON FF_JSON 2 2 Json It is recommended to use protobuf’s official json serialization method to ensure compatibility Json It is recommended to use protobuf’s official json serialization method to ensure compatibility  "],[69,"Supported attribute types. NameNumberDescriptionUNKNOWN_AT_TYPE0Placeholder for proto3 default value, do not use it.AT_INT321INT32AT_INT642INT64AT_FLOAT3FLOATAT_DOUBLE4DOUBLEAT_STRING5STRINGAT_BOOL6BOOLAT_BYTES7BYTESAT_INT32_LIST11INT32 LISTAT_INT64_LIST12INT64 LISTAT_FLOAT_LIST13FLOAT LISTAT_DOUBLE_LIST14DOUBLE LISTAT_STRING_LIST15STRING LISTAT_BOOL_LIST16BOOL LISTAT_BYTES_LIST17BYTES LIST NameNumberDescription NameNumberDescription Name Name Number Number Description Description UNKNOWN_AT_TYPE0Placeholder for proto3 default value, do not use it.AT_INT321INT32AT_INT642INT64AT_FLOAT3FLOATAT_DOUBLE4DOUBLEAT_STRING5STRINGAT_BOOL6BOOLAT_BYTES7BYTESAT_INT32_LIST11INT32 LISTAT_INT64_LIST12INT64 LISTAT_FLOAT_LIST13FLOAT LISTAT_DOUBLE_LIST14DOUBLE LISTAT_STRING_LIST15STRING LISTAT_BOOL_LIST16BOOL LISTAT_BYTES_LIST17BYTES LIST UNKNOWN_AT_TYPE0Placeholder for proto3 default value, do not use it. UNKNOWN_AT_TYPE UNKNOWN_AT_TYPE 0 0 Placeholder for proto3 default value, do not use it. Placeholder for proto3 default value, do not use it. AT_INT321INT32 AT_INT32 AT_INT32 1 1 INT32 INT32 AT_INT642INT64 AT_INT64 AT_INT64 2 2 INT64 INT64 AT_FLOAT3FLOAT AT_FLOAT AT_FLOAT 3 3 FLOAT FLOAT AT_DOUBLE4DOUBLE AT_DOUBLE AT_DOUBLE 4 4 DOUBLE DOUBLE AT_STRING5STRING AT_STRING AT_STRING 5 5 STRING STRING AT_BOOL6BOOL AT_BOOL AT_BOOL 6 6 BOOL BOOL AT_BYTES7BYTES AT_BYTES AT_BYTES 7 7 BYTES BYTES AT_INT32_LIST11INT32 LIST AT_INT32_LIST AT_INT32_LIST 11 11 INT32 LIST INT32 LIST AT_INT64_LIST12INT64 LIST AT_INT64_LIST AT_INT64_LIST 12 12 INT64 LIST INT64 LIST AT_FLOAT_LIST13FLOAT LIST AT_FLOAT_LIST AT_FLOAT_LIST 13 13 FLOAT LIST FLOAT LIST AT_DOUBLE_LIST14DOUBLE LIST AT_DOUBLE_LIST AT_DOUBLE_LIST 14 14 DOUBLE LIST DOUBLE LIST AT_STRING_LIST15STRING LIST AT_STRING_LIST AT_STRING_LIST 15 15 STRING LIST STRING LIST AT_BOOL_LIST16BOOL LIST AT_BOOL_LIST AT_BOOL_LIST 16 16 BOOL LIST BOOL LIST AT_BYTES_LIST17BYTES LIST AT_BYTES_LIST AT_BYTES_LIST 17 17 BYTES LIST BYTES LIST  "],[70,"Supported dispatch type NameNumberDescriptionUNKNOWN_DP_TYPE0Placeholder for proto3 default value, do not use it.DP_ALL1Dispatch all participants.DP_ANYONE2Dispatch any participant.DP_SPECIFIED3Dispatch specified participant.DP_SELF4Dispatch self.DP_PEER12For 2-parties, Dispatch peer participant. NameNumberDescription NameNumberDescription Name Name Number Number Description Description UNKNOWN_DP_TYPE0Placeholder for proto3 default value, do not use it.DP_ALL1Dispatch all participants.DP_ANYONE2Dispatch any participant.DP_SPECIFIED3Dispatch specified participant.DP_SELF4Dispatch self.DP_PEER12For 2-parties, Dispatch peer participant. UNKNOWN_DP_TYPE0Placeholder for proto3 default value, do not use it. UNKNOWN_DP_TYPE UNKNOWN_DP_TYPE 0 0 Placeholder for proto3 default value, do not use it. Placeholder for proto3 default value, do not use it. DP_ALL1Dispatch all participants. DP_ALL DP_ALL 1 1 Dispatch all participants. Dispatch all participants. DP_ANYONE2Dispatch any participant. DP_ANYONE DP_ANYONE 2 2 Dispatch any participant. Dispatch any participant. DP_SPECIFIED3Dispatch specified participant. DP_SPECIFIED DP_SPECIFIED 3 3 Dispatch specified participant. Dispatch specified participant. DP_SELF4Dispatch self. DP_SELF DP_SELF 4 4 Dispatch self. Dispatch self. DP_PEER12For 2-parties, Dispatch peer participant. DP_PEER DP_PEER 12 12 For 2-parties, Dispatch peer participant. For 2-parties, Dispatch peer participant.  "],[28,"Supported feature field type. NameNumberDescriptionUNKNOWN_FIELD_TYPE0Placeholder for proto3 default value, do not use it.FIELD_BOOL1BOOLFIELD_INT322INT32FIELD_INT643INT64FIELD_FLOAT4FLOATFIELD_DOUBLE5DOUBLEFIELD_STRING6STRING NameNumberDescription NameNumberDescription Name Name Number Number Description Description UNKNOWN_FIELD_TYPE0Placeholder for proto3 default value, do not use it.FIELD_BOOL1BOOLFIELD_INT322INT32FIELD_INT643INT64FIELD_FLOAT4FLOATFIELD_DOUBLE5DOUBLEFIELD_STRING6STRING UNKNOWN_FIELD_TYPE0Placeholder for proto3 default value, do not use it. UNKNOWN_FIELD_TYPE UNKNOWN_FIELD_TYPE 0 0 Placeholder for proto3 default value, do not use it. Placeholder for proto3 default value, do not use it. FIELD_BOOL1BOOL FIELD_BOOL FIELD_BOOL 1 1 BOOL BOOL FIELD_INT322INT32 FIELD_INT32 FIELD_INT32 2 2 INT32 INT32 FIELD_INT643INT64 FIELD_INT64 FIELD_INT64 3 3 INT64 INT64 FIELD_FLOAT4FLOAT FIELD_FLOAT FIELD_FLOAT 4 4 FLOAT FLOAT FIELD_DOUBLE5DOUBLE FIELD_DOUBLE FIELD_DOUBLE 5 5 DOUBLE DOUBLE FIELD_STRING6STRING FIELD_STRING FIELD_STRING 6 6 STRING STRING  "],[114,"Supported feature field type. NameNumberDescriptionUNKNOWN_FIELD_TYPE0Placeholder for proto3 default value, do not use it.FIELD_BOOL1BOOLFIELD_INT322INT32FIELD_INT643INT64FIELD_FLOAT4FLOATFIELD_DOUBLE5DOUBLEFIELD_STRING6STRING NameNumberDescription NameNumberDescription Name Name Number Number Description Description UNKNOWN_FIELD_TYPE0Placeholder for proto3 default value, do not use it.FIELD_BOOL1BOOLFIELD_INT322INT32FIELD_INT643INT64FIELD_FLOAT4FLOATFIELD_DOUBLE5DOUBLEFIELD_STRING6STRING UNKNOWN_FIELD_TYPE0Placeholder for proto3 default value, do not use it. UNKNOWN_FIELD_TYPE UNKNOWN_FIELD_TYPE 0 0 Placeholder for proto3 default value, do not use it. Placeholder for proto3 default value, do not use it. FIELD_BOOL1BOOL FIELD_BOOL FIELD_BOOL 1 1 BOOL BOOL FIELD_INT322INT32 FIELD_INT32 FIELD_INT32 2 2 INT32 INT32 FIELD_INT643INT64 FIELD_INT64 FIELD_INT64 3 3 INT64 INT64 FIELD_FLOAT4FLOAT FIELD_FLOAT FIELD_FLOAT 4 4 FLOAT FLOAT FIELD_DOUBLE5DOUBLE FIELD_DOUBLE FIELD_DOUBLE 5 5 DOUBLE DOUBLE FIELD_STRING6STRING FIELD_STRING FIELD_STRING 6 6 STRING STRING  "],[167,"Supported model source type NameNumberDescriptionINVALID_SOURCE_TYPE0Placeholder for proto3 default value, do not use it.ST_FILE1Local filesystemST_OSS2OSS/AWS S3ST_HTTP3Http sourceST_DP4DataProxy source NameNumberDescription NameNumberDescription Name Name Number Number Description Description INVALID_SOURCE_TYPE0Placeholder for proto3 default value, do not use it.ST_FILE1Local filesystemST_OSS2OSS/AWS S3ST_HTTP3Http sourceST_DP4DataProxy source INVALID_SOURCE_TYPE0Placeholder for proto3 default value, do not use it. INVALID_SOURCE_TYPE INVALID_SOURCE_TYPE 0 0 Placeholder for proto3 default value, do not use it. Placeholder for proto3 default value, do not use it. ST_FILE1Local filesystem ST_FILE ST_FILE 1 1 Local filesystem Local filesystem ST_OSS2OSS/AWS S3 ST_OSS ST_OSS 2 2 OSS/AWS S3 OSS/AWS S3 ST_HTTP3Http source ST_HTTP ST_HTTP 3 3 Http source Http source ST_DP4DataProxy source ST_DP ST_DP 4 4 DataProxy source DataProxy source  "],[49,"The config for HE compute. FieldTypeDescriptionpk_buf bytesSerialized public key bytessk_buf bytesSerialized secret key bytesencode_scale int64Encode scale for data FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description pk_buf bytesSerialized public key bytessk_buf bytesSerialized secret key bytesencode_scale int64Encode scale for data pk_buf bytesSerialized public key bytes pk_buf pk_buf  bytes  bytes  bytes  bytes Serialized public key bytes Serialized public key bytes sk_buf bytesSerialized secret key bytes sk_buf sk_buf  bytes  bytes  bytes  bytes Serialized secret key bytes Serialized secret key bytes encode_scale int64Encode scale for data encode_scale encode_scale  int64  int64  int64  int64 Encode scale for data Encode scale for data  "],[24,"The custom parameters for fetch features. FieldTypeDescriptionquery_datasrepeated stringCustom parameters data for querying feature values, the specific content format of which is determined by the feature datasource provider. Each one for query one row of features.query_context stringOptional. Represents the common part of the query datas. FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description query_datasrepeated stringCustom parameters data for querying feature values, the specific content format of which is determined by the feature datasource provider. Each one for query one row of features.query_context stringOptional. Represents the common part of the query datas. query_datasrepeated stringCustom parameters data for querying feature values, the specific content format of which is determined by the feature datasource provider. Each one for query one row of features. query_datas query_datas repeated string repeated string repeated string repeated string Custom parameters data for querying feature values, the specific content format of which is determined by the feature datasource provider. Each one for query one row of features. Custom parameters data for querying feature values, the specific content format of which is determined by the feature datasource provider. Each one for query one row of features. query_context stringOptional. Represents the common part of the query datas. query_context query_context  string  string  string  string Optional. Represents the common part of the query datas. Optional. Represents the common part of the query datas.  "],[109,"The custom parameters for fetch features. FieldTypeDescriptionquery_datasrepeated stringCustom parameters data for querying feature values, the specific content format of which is determined by the feature datasource provider. Each one for query one row of features.query_context stringOptional. Represents the common part of the query datas. FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description query_datasrepeated stringCustom parameters data for querying feature values, the specific content format of which is determined by the feature datasource provider. Each one for query one row of features.query_context stringOptional. Represents the common part of the query datas. query_datasrepeated stringCustom parameters data for querying feature values, the specific content format of which is determined by the feature datasource provider. Each one for query one row of features. query_datas query_datas repeated string repeated string repeated string repeated string Custom parameters data for querying feature values, the specific content format of which is determined by the feature datasource provider. Each one for query one row of features. Custom parameters data for querying feature values, the specific content format of which is determined by the feature datasource provider. Each one for query one row of features. query_context stringOptional. Represents the common part of the query datas. query_context query_context  string  string  string  string Optional. Represents the common part of the query datas. Optional. Represents the common part of the query datas.  "],[46,"The definition of a execution. A execution represents a subgraph within a\ngraph that can be scheduled for execution in a specified pattern. FieldTypeDescriptionnodesrepeated stringRepresents the nodes contained in this execution. Note that these node names should be findable and unique within the node definitions. One node can only exist in one execution and must exist in one.config RuntimeConfigThe runtime config of the execution. FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description nodesrepeated stringRepresents the nodes contained in this execution. Note that these node names should be findable and unique within the node definitions. One node can only exist in one execution and must exist in one.config RuntimeConfigThe runtime config of the execution. nodesrepeated stringRepresents the nodes contained in this execution. Note that these node names should be findable and unique within the node definitions. One node can only exist in one execution and must exist in one. nodes nodes repeated string repeated string repeated string repeated string Represents the nodes contained in this execution. Note that these node names should be findable and unique within the node definitions. One node can only exist in one execution and must exist in one. Represents the nodes contained in this execution. Note that these node names should be findable and unique within the node definitions. One node can only exist in one execution and must exist in one. config RuntimeConfigThe runtime config of the execution. config config  RuntimeConfig  RuntimeConfig  RuntimeConfig The runtime config of the execution. The runtime config of the execution.  "],[23,"The definition of a feature field. FieldTypeDescriptionname stringUnique name of the featuretype FieldTypeField type of the feature FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description name stringUnique name of the featuretype FieldTypeField type of the feature name stringUnique name of the feature name name  string  string  string  string Unique name of the feature Unique name of the feature type FieldTypeField type of the feature type type  FieldType  FieldType  FieldType Field type of the feature Field type of the feature  "],[108,"The definition of a feature field. FieldTypeDescriptionname stringUnique name of the featuretype FieldTypeField type of the feature FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description name stringUnique name of the featuretype FieldTypeField type of the feature name stringUnique name of the feature name name  string  string  string  string Unique name of the feature Unique name of the feature type FieldTypeField type of the feature type type  FieldType  FieldType  FieldType Field type of the feature Field type of the feature  "],[22,"The definition of a feature FieldTypeDescriptionfield FeatureFieldnonevalue FeatureValuenone FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description field FeatureFieldnonevalue FeatureValuenone field FeatureFieldnone field field  FeatureField  FeatureField  FeatureField none none value FeatureValuenone value value  FeatureValue  FeatureValue  FeatureValue none none  "],[107,"The definition of a feature FieldTypeDescriptionfield FeatureFieldnonevalue FeatureValuenone FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description field FeatureFieldnonevalue FeatureValuenone field FeatureFieldnone field field  FeatureField  FeatureField  FeatureField none none value FeatureValuenone value value  FeatureValue  FeatureValue  FeatureValue none none  "],[47,"The definition of a Graph. A graph consists of a set of nodes carrying data\nand a set of executions that describes the scheduling of the graph. FieldTypeDescriptionversion stringVersion of the graphnode_listrepeated NodeDefnoneexecution_listrepeated ExecutionDefnonehe_config HeConfignoneparty_num int32none FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description version stringVersion of the graphnode_listrepeated NodeDefnoneexecution_listrepeated ExecutionDefnonehe_config HeConfignoneparty_num int32none version stringVersion of the graph version version  string  string  string  string Version of the graph Version of the graph node_listrepeated NodeDefnone node_list node_list repeated NodeDef repeated NodeDef repeated NodeDef none none execution_listrepeated ExecutionDefnone execution_list execution_list repeated ExecutionDef repeated ExecutionDef repeated ExecutionDef none none he_config HeConfignone he_config he_config  HeConfig  HeConfig  HeConfig none none party_num int32none party_num party_num  int32  int32  int32  int32 none none  "],[51,"The definition of a node. FieldTypeDescriptionname stringMust be unique among all nodes of the graph.op stringThe operator name.parentsrepeated stringThe parent node names of the node. The order of the parent nodes should match the order of the inputs of the node.attr_valuesmap NodeDef.AttrValuesEntryThe attribute values configed in the node. Note that this should include all attrs defined in the corresponding OpDef.op_version stringThe operator version. FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description name stringMust be unique among all nodes of the graph.op stringThe operator name.parentsrepeated stringThe parent node names of the node. The order of the parent nodes should match the order of the inputs of the node.attr_valuesmap NodeDef.AttrValuesEntryThe attribute values configed in the node. Note that this should include all attrs defined in the corresponding OpDef.op_version stringThe operator version. name stringMust be unique among all nodes of the graph. name name  string  string  string  string Must be unique among all nodes of the graph. Must be unique among all nodes of the graph. op stringThe operator name. op op  string  string  string  string The operator name. The operator name. parentsrepeated stringThe parent node names of the node. The order of the parent nodes should match the order of the inputs of the node. parents parents repeated string repeated string repeated string repeated string The parent node names of the node. The order of the parent nodes should match the order of the inputs of the node. The parent node names of the node. The order of the parent nodes should match the order of the inputs of the node. attr_valuesmap NodeDef.AttrValuesEntryThe attribute values configed in the node. Note that this should include all attrs defined in the corresponding OpDef. attr_values attr_values map NodeDef.AttrValuesEntry map NodeDef.AttrValuesEntry map NodeDef.AttrValuesEntry map NodeDef.AttrValuesEntry The attribute values configed in the node. Note that this should include all attrs defined in the corresponding OpDef. The attribute values configed in the node. Note that this should include all attrs defined in the corresponding OpDef. op_version stringThe operator version. op_version op_version  string  string  string  string The operator version. The operator version.  "],[44,"The definition of a operator. FieldTypeDescriptionname stringUnique name of the opdesc stringDescription of the opversion stringVersion of the optag OpTagnoneinputsrepeated IoDefIf tag variable_inputs is true, the op should have only one IoDef for inputs, referring to the parameter list.output IoDefnoneattrsrepeated AttrDefnone FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description name stringUnique name of the opdesc stringDescription of the opversion stringVersion of the optag OpTagnoneinputsrepeated IoDefIf tag variable_inputs is true, the op should have only one IoDef for inputs, referring to the parameter list.output IoDefnoneattrsrepeated AttrDefnone name stringUnique name of the op name name  string  string  string  string Unique name of the op Unique name of the op desc stringDescription of the op desc desc  string  string  string  string Description of the op Description of the op version stringVersion of the op version version  string  string  string  string Version of the op Version of the op tag OpTagnone tag tag  OpTag  OpTag  OpTag none none inputsrepeated IoDefIf tag variable_inputs is true, the op should have only one IoDef for inputs, referring to the parameter list. inputs inputs repeated IoDef repeated IoDef repeated IoDef If tag variable_inputs is true, the op should have only one IoDef for inputs, referring to the parameter list. If tag variable_inputs is true, the op should have only one IoDef for inputs, referring to the parameter list. IoDef output IoDefnone output output  IoDef  IoDef  IoDef none none attrsrepeated AttrDefnone attrs attrs repeated AttrDef repeated AttrDef repeated AttrDef none none  "],[34,"The definition of an attribute. FieldTypeDescriptionname stringMust be unique among all attr of the operator.desc stringDescription of the attributetype AttrTypenoneis_optional boolIf True, when AttrValue is not provided or is_na, default_value would be used. Else, AttrValue must be provided.default_value AttrValueA reasonable default for this attribute if it’s optional and the user does not supply a value. If not, the user must supply a value. FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description name stringMust be unique among all attr of the operator.desc stringDescription of the attributetype AttrTypenoneis_optional boolIf True, when AttrValue is not provided or is_na, default_value would be used. Else, AttrValue must be provided.default_value AttrValueA reasonable default for this attribute if it’s optional and the user does not supply a value. If not, the user must supply a value. name stringMust be unique among all attr of the operator. name name  string  string  string  string Must be unique among all attr of the operator. Must be unique among all attr of the operator. desc stringDescription of the attribute desc desc  string  string  string  string Description of the attribute Description of the attribute type AttrTypenone type type  AttrType  AttrType  AttrType none none is_optional boolIf True, when AttrValue is not provided or is_na, default_value would be used. Else, AttrValue must be provided. is_optional is_optional  bool  bool  bool  bool If True, when AttrValue is not provided or is_na, default_value would be used. Else, AttrValue must be provided. If True, when AttrValue is not provided or is_na, default_value would be used. Else, AttrValue must be provided. default_value AttrValueA reasonable default for this attribute if it’s optional and the user does not supply a value. If not, the user must supply a value. default_value default_value  AttrValue  AttrValue  AttrValue A reasonable default for this attribute if it’s optional and the user does not supply a value. If not, the user must supply a value. A reasonable default for this attribute if it’s optional and the user does not supply a value. If not, the user must supply a value.  "],[285,"The deployment diagram of the SecretFlow-Serving system that we plan to deploy is shown as the following figure, it involves a total of two party, including two parties named Alice and Bob. We use two machines to simulate different parties. Alice Bob   \nThe SecretFlow-Serving in this example provides services through the HTTP protocol. However, for a production environment, it is recommended to use mTLS to secure all communication links and access the service via HTTPS. Please check mTLS Configuration for details.\nSecretFlow-Serving supports configuring different mTLS settings for various communication links. For more detailed information, please refer to the Server Configuration, Cluster Communication Configuration, and SPI Communication Configuration.\n \nThe SecretFlow-Serving in this example provides services through the HTTP protocol. However, for a production environment, it is recommended to use mTLS to secure all communication links and access the service via HTTPS. Please check mTLS Configuration for details.\nSecretFlow-Serving supports configuring different mTLS settings for various communication links. For more detailed information, please refer to the Server Configuration, Cluster Communication Configuration, and SPI Communication Configuration.\n The SecretFlow-Serving in this example provides services through the HTTP protocol. However, for a production environment, it is recommended to use mTLS to secure all communication links and access the service via HTTPS. Please check mTLS Configuration for details. HTTP mTLS HTTPS mTLS Configuration mTLS Configuration SecretFlow-Serving supports configuring different mTLS settings for various communication links. For more detailed information, please refer to the Server Configuration, Cluster Communication Configuration, and SPI Communication Configuration. mTLS Server Configuration Server Configuration Cluster Communication Configuration Cluster Communication Configuration SPI Communication Configuration SPI Communication Configuration "],[274,"The formula for the linear model is: y=bias+w1x1+w2x2+⋯+wpxp=bias+WTXy = bias + w_1 x_1 + w_2 x_2+\\dots+ w_p x_p = bias + W^TXy=bias+w1​x1​+w2​x2​+⋯+wp​xp​=bias+WTX y=bias+w1x1+w2x2+⋯+wpxp=bias+WTXy = bias + w_1 x_1 + w_2 x_2+\\dots+ w_p x_p = bias + W^TXy=bias+w1​x1​+w2​x2​+⋯+wp​xp​=bias+WTX y=bias+w1x1+w2x2+⋯+wpxp=bias+WTXy = bias + w_1 x_1 + w_2 x_2+\\dots+ w_p x_p = bias + W^TXy=bias+w1​x1​+w2​x2​+⋯+wp​xp​=bias+WTX y=bias+w1x1+w2x2+⋯+wpxp=bias+WTXy = bias + w_1 x_1 + w_2 x_2+\\dots+ w_p x_p = bias + W^TX y=bias+w1x1+w2x2+⋯+wpxp=bias+WTXy = bias + w_1 x_1 + w_2 x_2+\\dots+ w_p x_p = bias + W^TX y=bias+w1x1+w2x2+⋯+wpxp=bias+WTXy = bias + w_1 x_1 + w_2 x_2+\\dots+ w_p x_p = bias + W^TX y=bias+w1x1+w2x2+⋯+wpxp=bias+WTX y = b i a s + w1 w 1 x1 x 1 + w2 w 2 x2 x 2 + ⋯ + wp w p xp x p = b i a s + WT W T X y = bias + w_1 x_1 + w_2 x_2+\\dots+ w_p x_p = bias + W^TX y=bias+w1​x1​+w2​x2​+⋯+wp​xp​=bias+WTX y=  y  =  bias+  bia s  +  w1​x1​+  w1​ w 1​ 1​ 1​ 1 1  1 1 ​    x1​ x 1​ 1​ 1​ 1 1  1 1 ​     +  w2​x2​+  w2​ w 2​ 2​ 2​ 2 2  2 2 ​    x2​ x 2​ 2​ 2​ 2 2  2 2 ​     +  ⋯+  ⋯  +  wp​xp​=  wp​ w p​ p​ p​ p p  p p ​    xp​ x p​ p​ p​ p p  p p ​     =  bias+  bia s  +  WTX  WT W T T T T T  T T X          \nxi(i=1−p)x_i (i=1 - p)xi​(i=1−p) represents the value of each feature.\nwi(i=1−p)w_i (i = 1 - p)wi​(i=1−p) represents the coefficient of each feature value.\nbiasbiasbias is the bias value of the model.\nyyy is the predicted value of the model.\nWTW^TWT is the transpose of the column vector of feature coefficients.\nXXX is the column vector of feature values.\n xi(i=1−p)x_i (i=1 - p)xi​(i=1−p) represents the value of each feature. xi(i=1−p)x_i (i=1 - p)xi​(i=1−p) xi(i=1−p)x_i (i=1 - p)xi​(i=1−p) xi(i=1−p)x_i (i=1 - p) xi(i=1−p)x_i (i=1 - p) xi(i=1−p)x_i (i=1 - p) xi(i=1−p) xi x i ( i = 1 − p ) x_i (i=1 - p) xi​(i=1−p) xi​(i=  xi​ x i​ i​ i​ i i  i i ​    ( i  =  1−  1  −  p)  p ) wi(i=1−p)w_i (i = 1 - p)wi​(i=1−p) represents the coefficient of each feature value. wi(i=1−p)w_i (i = 1 - p)wi​(i=1−p) wi(i=1−p)w_i (i = 1 - p)wi​(i=1−p) wi(i=1−p)w_i (i = 1 - p) wi(i=1−p)w_i (i = 1 - p) wi(i=1−p)w_i (i = 1 - p) wi(i=1−p) wi w i ( i = 1 − p ) w_i (i = 1 - p) wi​(i=1−p) wi​(i=  wi​ w i​ i​ i​ i i  i i ​    ( i  =  1−  1  −  p)  p ) biasbiasbias is the bias value of the model. biasbiasbias biasbiasbias biasbias biasbias biasbias bias b i a s bias bias bias  bia s yyy is the predicted value of the model. yyy yyy yy yy yy y y y y y  y WTW^TWT is the transpose of the column vector of feature coefficients. WTW^TWT WTW^TWT WTW^T WTW^T WTW^T WT WT W T W^T WT WT  WT W T T T T T  T T XXX is the column vector of feature values. XXX XXX XX XX XX X X X X X  X That is, the predicted value of the model can be simply expressed as the dot product of the feature value and the coefficient plus the bias.\nIf it is a classification problem, the formula becomes: y=1/(1+e−(bias+WTX))y = 1 / (1 + e^{-(bias + W^TX)})y=1/(1+e−(bias+WTX)) y=1/(1+e−(bias+WTX))y = 1 / (1 + e^{-(bias + W^TX)})y=1/(1+e−(bias+WTX)) y=1/(1+e−(bias+WTX))y = 1 / (1 + e^{-(bias + W^TX)})y=1/(1+e−(bias+WTX)) y=1/(1+e−(bias+WTX))y = 1 / (1 + e^{-(bias + W^TX)}) y=1/(1+e−(bias+WTX))y = 1 / (1 + e^{-(bias + W^TX)}) y=1/(1+e−(bias+WTX))y = 1 / (1 + e^{-(bias + W^TX)}) y=1/(1+e−(bias+WTX)) y = 1 / ( 1 + e−(bias+WTX) e −(bias+WTX) − ( b i a s + WT W T X ) ) y = 1 / (1 + e^{-(bias + W^TX)}) y=1/(1+e−(bias+WTX)) y=  y  =  1/(1+  1/ ( 1  +  e−(bias+WTX))  e−(bias+WTX) e −(bias+WTX) −(bias+WTX) −(bias+WTX) −(bias+WTX) −(bias+WTX)  −(bias+WTX) −(bias+WTX) − ( bia s + WT W T T T T T  T T X ) )          Usually we use approximate functions to describe the above functions. "],[283,"The launch and management of SecretFlow-Serving can be performed using the Kuscia Serving API. In this section, we will explain the contents of the serving_input_config field within the /api/v1/serving/create request. Kuscia Serving API serving_input_config /api/v1/serving/create  Field description: Field description NameTypeDescriptionRequiredpartyConfigsmap<str, PartyConfig>Dictionary of startup parameters for each participant. Key: Participant Unique ID; Value: PartyConfig (Json Object).YesPartyConfig.serverConfigstrServerConfigYesPartyConfig.serverConfig.featureMappingmap<str, str>Feature name mapping rules. Key: source or predefined feature name; Value: model feature nameNoPartyConfig.modelConfigObjectModelConfigYesPartyConfig.modelConfig.modelIdstrUnique id of the model packageYesPartyConfig.modelConfig.basePathstrThe local path used to cache and load model packageYesPartyConfig.modelConfig.sourcePathstrThe path to the model package in the data source, where the content format may vary depending on the sourceType.YesPartyConfig.modelConfig.sourceSha256strThe expected SHA256 hash of the model package. When provided, the fetched model package will be verified against it.NoPartyConfig.modelConfig.sourceTypestrModel data source type, options include:\nST_FILE: In this case, the sourcePath should be a file path accessible to Serving.\nST_DP: In this case, the sourcePath should be DomainData ID in DataMesh from Kuscia. and dpSourceMeta needs to be configured.\nST_OSS: In this case, the sourcePath should be the file path within the bucket. ST_HTTP: In this case, the sourcePath should be the download URL for the model package.YesPartyConfig.modelConfig.dpSourceMetaObjectDPSourceMetaNo(If sourceType  is DT_DP, dpSourceMeta needs to be configured)PartyConfig.modelConfig.dpSourceMeta.dmHoststrThe address of DataMesh in Kuscia. Default: datameshNoPartyConfig.featureSourceConfigObjectFeatureSourceConfigYesPartyConfig.featureSourceConfig.mockOptsObjectMockOptionsNo(One of csvOpts, mockOpts, or httpOpts needs to be configured)PartyConfig.featureSourceConfig.mockOpts.typestrThe method for generating mock feature values, options: “MDT_RANDOM” for random values, and “MDT_FIXED” for fixed values. Default: “MDT_FIXED”.NoPartyConfig.featureSourceConfig.httpOptsObjectHttpOptionsNo(One of csvOpts, mockOpts, or httpOpts needs to be configured)PartyConfig.featureSourceConfig.httpOpts.endpointstrFeature service addressYesPartyConfig.featureSourceConfig.httpOpts.enableLbboolWhether to enable round robin load balancer, Default: FalseNoPartyConfig.featureSourceConfig.httpOpts.connectTimeoutMsint32Max duration for a connect. -1 means wait indefinitely. Default: 500 (ms)NoPartyConfig.featureSourceConfig.httpOpts.timeoutMsint32Max duration of http request. -1 means wait indefinitely. Default: 1000 (ms)NoPartyConfig.featureSourceConfig.csvOptsObjectCsvOptionsNo(One of csvOpts, mockOpts, or httpOpts needs to be configured)PartyConfig.featureSourceConfig.csvOpts.filePathObjectInput file path, specifies where to load data. Note that this will load all of the data into memory at onceYesPartyConfig.featureSourceConfig.csvOpts.idNameObjectId column name, associated with FeatureParam::query_datas. query_datas is a subset of id columnYesPartyConfig.channelDescObjectChannelDescYesPartyConfig.channelDesc.protocolstrCommunication protocol, for optional value, see hereYesPartyConfig.channelDesc.rpcTimeoutMsint32Max duration of RPC. -1 means wait indefinitely. Default: 2000 (ms)NoPartyConfig.channelDesc.connectTimeoutMsint32Max duration for a connect. -1 means wait indefinitely. Default: 500 (ms)NopredictorPartiesList<str>Indicate which parties can initiate the prediction. Default: AllNo NameTypeDescriptionRequired NameTypeDescriptionRequired Name Name Type Type Description Description Required Required partyConfigsmap<str, PartyConfig>Dictionary of startup parameters for each participant. Key: Participant Unique ID; Value: PartyConfig (Json Object).YesPartyConfig.serverConfigstrServerConfigYesPartyConfig.serverConfig.featureMappingmap<str, str>Feature name mapping rules. Key: source or predefined feature name; Value: model feature nameNoPartyConfig.modelConfigObjectModelConfigYesPartyConfig.modelConfig.modelIdstrUnique id of the model packageYesPartyConfig.modelConfig.basePathstrThe local path used to cache and load model packageYesPartyConfig.modelConfig.sourcePathstrThe path to the model package in the data source, where the content format may vary depending on the sourceType.YesPartyConfig.modelConfig.sourceSha256strThe expected SHA256 hash of the model package. When provided, the fetched model package will be verified against it.NoPartyConfig.modelConfig.sourceTypestrModel data source type, options include:\nST_FILE: In this case, the sourcePath should be a file path accessible to Serving.\nST_DP: In this case, the sourcePath should be DomainData ID in DataMesh from Kuscia. and dpSourceMeta needs to be configured.\nST_OSS: In this case, the sourcePath should be the file path within the bucket. ST_HTTP: In this case, the sourcePath should be the download URL for the model package.YesPartyConfig.modelConfig.dpSourceMetaObjectDPSourceMetaNo(If sourceType  is DT_DP, dpSourceMeta needs to be configured)PartyConfig.modelConfig.dpSourceMeta.dmHoststrThe address of DataMesh in Kuscia. Default: datameshNoPartyConfig.featureSourceConfigObjectFeatureSourceConfigYesPartyConfig.featureSourceConfig.mockOptsObjectMockOptionsNo(One of csvOpts, mockOpts, or httpOpts needs to be configured)PartyConfig.featureSourceConfig.mockOpts.typestrThe method for generating mock feature values, options: “MDT_RANDOM” for random values, and “MDT_FIXED” for fixed values. Default: “MDT_FIXED”.NoPartyConfig.featureSourceConfig.httpOptsObjectHttpOptionsNo(One of csvOpts, mockOpts, or httpOpts needs to be configured)PartyConfig.featureSourceConfig.httpOpts.endpointstrFeature service addressYesPartyConfig.featureSourceConfig.httpOpts.enableLbboolWhether to enable round robin load balancer, Default: FalseNoPartyConfig.featureSourceConfig.httpOpts.connectTimeoutMsint32Max duration for a connect. -1 means wait indefinitely. Default: 500 (ms)NoPartyConfig.featureSourceConfig.httpOpts.timeoutMsint32Max duration of http request. -1 means wait indefinitely. Default: 1000 (ms)NoPartyConfig.featureSourceConfig.csvOptsObjectCsvOptionsNo(One of csvOpts, mockOpts, or httpOpts needs to be configured)PartyConfig.featureSourceConfig.csvOpts.filePathObjectInput file path, specifies where to load data. Note that this will load all of the data into memory at onceYesPartyConfig.featureSourceConfig.csvOpts.idNameObjectId column name, associated with FeatureParam::query_datas. query_datas is a subset of id columnYesPartyConfig.channelDescObjectChannelDescYesPartyConfig.channelDesc.protocolstrCommunication protocol, for optional value, see hereYesPartyConfig.channelDesc.rpcTimeoutMsint32Max duration of RPC. -1 means wait indefinitely. Default: 2000 (ms)NoPartyConfig.channelDesc.connectTimeoutMsint32Max duration for a connect. -1 means wait indefinitely. Default: 500 (ms)NopredictorPartiesList<str>Indicate which parties can initiate the prediction. Default: AllNo partyConfigsmap<str, PartyConfig>Dictionary of startup parameters for each participant. Key: Participant Unique ID; Value: PartyConfig (Json Object).Yes partyConfigs partyConfigs map<str, PartyConfig> map<str, PartyConfig> Dictionary of startup parameters for each participant. Key: Participant Unique ID; Value: PartyConfig (Json Object). Dictionary of startup parameters for each participant. Key: Participant Unique ID; Value: PartyConfig (Json Object). Yes Yes PartyConfig.serverConfigstrServerConfigYes PartyConfig.serverConfig PartyConfig.serverConfig str str ServerConfig ServerConfig ServerConfig ServerConfig Yes Yes PartyConfig.serverConfig.featureMappingmap<str, str>Feature name mapping rules. Key: source or predefined feature name; Value: model feature nameNo PartyConfig.serverConfig.featureMapping PartyConfig.serverConfig.featureMapping map<str, str> map<str, str> Feature name mapping rules. Key: source or predefined feature name; Value: model feature name Feature name mapping rules. Key: source or predefined feature name; Value: model feature name No No PartyConfig.modelConfigObjectModelConfigYes PartyConfig.modelConfig PartyConfig.modelConfig Object Object ModelConfig ModelConfig ModelConfig ModelConfig Yes Yes PartyConfig.modelConfig.modelIdstrUnique id of the model packageYes PartyConfig.modelConfig.modelId PartyConfig.modelConfig.modelId str str Unique id of the model package Unique id of the model package Yes Yes PartyConfig.modelConfig.basePathstrThe local path used to cache and load model packageYes PartyConfig.modelConfig.basePath PartyConfig.modelConfig.basePath str str The local path used to cache and load model package The local path used to cache and load model package Yes Yes PartyConfig.modelConfig.sourcePathstrThe path to the model package in the data source, where the content format may vary depending on the sourceType.Yes PartyConfig.modelConfig.sourcePath PartyConfig.modelConfig.sourcePath str str The path to the model package in the data source, where the content format may vary depending on the sourceType. The path to the model package in the data source, where the content format may vary depending on the sourceType. sourceType Yes Yes PartyConfig.modelConfig.sourceSha256strThe expected SHA256 hash of the model package. When provided, the fetched model package will be verified against it.No PartyConfig.modelConfig.sourceSha256 PartyConfig.modelConfig.sourceSha256 str str The expected SHA256 hash of the model package. When provided, the fetched model package will be verified against it. The expected SHA256 hash of the model package. When provided, the fetched model package will be verified against it. No No PartyConfig.modelConfig.sourceTypestrModel data source type, options include:\nST_FILE: In this case, the sourcePath should be a file path accessible to Serving.\nST_DP: In this case, the sourcePath should be DomainData ID in DataMesh from Kuscia. and dpSourceMeta needs to be configured.\nST_OSS: In this case, the sourcePath should be the file path within the bucket. ST_HTTP: In this case, the sourcePath should be the download URL for the model package.Yes PartyConfig.modelConfig.sourceType PartyConfig.modelConfig.sourceType str str Model data source type, options include:\nST_FILE: In this case, the sourcePath should be a file path accessible to Serving.\nST_DP: In this case, the sourcePath should be DomainData ID in DataMesh from Kuscia. and dpSourceMeta needs to be configured.\nST_OSS: In this case, the sourcePath should be the file path within the bucket. ST_HTTP: In this case, the sourcePath should be the download URL for the model package. Model data source type, options include:\nST_FILE: In this case, the sourcePath should be a file path accessible to Serving.\nST_DP: In this case, the sourcePath should be DomainData ID in DataMesh from Kuscia. and dpSourceMeta needs to be configured.\nST_OSS: In this case, the sourcePath should be the file path within the bucket. ST_HTTP: In this case, the sourcePath should be the download URL for the model package. ST_FILE sourcePath ST_DP sourcePath ST_OSS sourcePath ST_HTTP sourcePath Yes Yes PartyConfig.modelConfig.dpSourceMetaObjectDPSourceMetaNo(If sourceType  is DT_DP, dpSourceMeta needs to be configured) PartyConfig.modelConfig.dpSourceMeta PartyConfig.modelConfig.dpSourceMeta Object Object DPSourceMeta DPSourceMeta DPSourceMeta DPSourceMeta No(If sourceType  is DT_DP, dpSourceMeta needs to be configured) No(If sourceType  is DT_DP, dpSourceMeta needs to be configured) sourceType DT_DP dpSourceMeta PartyConfig.modelConfig.dpSourceMeta.dmHoststrThe address of DataMesh in Kuscia. Default: datameshNo PartyConfig.modelConfig.dpSourceMeta.dmHost PartyConfig.modelConfig.dpSourceMeta.dmHost str str The address of DataMesh in Kuscia. Default: datamesh The address of DataMesh in Kuscia. Default: datamesh No No PartyConfig.featureSourceConfigObjectFeatureSourceConfigYes PartyConfig.featureSourceConfig PartyConfig.featureSourceConfig Object Object FeatureSourceConfig FeatureSourceConfig FeatureSourceConfig FeatureSourceConfig Yes Yes PartyConfig.featureSourceConfig.mockOptsObjectMockOptionsNo(One of csvOpts, mockOpts, or httpOpts needs to be configured) PartyConfig.featureSourceConfig.mockOpts PartyConfig.featureSourceConfig.mockOpts Object Object MockOptions MockOptions MockOptions MockOptions No(One of csvOpts, mockOpts, or httpOpts needs to be configured) No(One of csvOpts, mockOpts, or httpOpts needs to be configured) csvOpts mockOpts httpOpts PartyConfig.featureSourceConfig.mockOpts.typestrThe method for generating mock feature values, options: “MDT_RANDOM” for random values, and “MDT_FIXED” for fixed values. Default: “MDT_FIXED”.No PartyConfig.featureSourceConfig.mockOpts.type PartyConfig.featureSourceConfig.mockOpts.type str str The method for generating mock feature values, options: “MDT_RANDOM” for random values, and “MDT_FIXED” for fixed values. Default: “MDT_FIXED”. The method for generating mock feature values, options: “MDT_RANDOM” for random values, and “MDT_FIXED” for fixed values. Default: “MDT_FIXED”. No No PartyConfig.featureSourceConfig.httpOptsObjectHttpOptionsNo(One of csvOpts, mockOpts, or httpOpts needs to be configured) PartyConfig.featureSourceConfig.httpOpts PartyConfig.featureSourceConfig.httpOpts Object Object HttpOptions HttpOptions HttpOptions HttpOptions No(One of csvOpts, mockOpts, or httpOpts needs to be configured) No(One of csvOpts, mockOpts, or httpOpts needs to be configured) csvOpts mockOpts httpOpts PartyConfig.featureSourceConfig.httpOpts.endpointstrFeature service addressYes PartyConfig.featureSourceConfig.httpOpts.endpoint PartyConfig.featureSourceConfig.httpOpts.endpoint str str Feature service address Feature service address Yes Yes PartyConfig.featureSourceConfig.httpOpts.enableLbboolWhether to enable round robin load balancer, Default: FalseNo PartyConfig.featureSourceConfig.httpOpts.enableLb PartyConfig.featureSourceConfig.httpOpts.enableLb bool bool Whether to enable round robin load balancer, Default: False Whether to enable round robin load balancer, Default: False No No PartyConfig.featureSourceConfig.httpOpts.connectTimeoutMsint32Max duration for a connect. -1 means wait indefinitely. Default: 500 (ms)No PartyConfig.featureSourceConfig.httpOpts.connectTimeoutMs PartyConfig.featureSourceConfig.httpOpts.connectTimeoutMs int32 int32 Max duration for a connect. -1 means wait indefinitely. Default: 500 (ms) Max duration for a connect. -1 means wait indefinitely. Default: 500 (ms) No No PartyConfig.featureSourceConfig.httpOpts.timeoutMsint32Max duration of http request. -1 means wait indefinitely. Default: 1000 (ms)No PartyConfig.featureSourceConfig.httpOpts.timeoutMs PartyConfig.featureSourceConfig.httpOpts.timeoutMs int32 int32 Max duration of http request. -1 means wait indefinitely. Default: 1000 (ms) Max duration of http request. -1 means wait indefinitely. Default: 1000 (ms) No No PartyConfig.featureSourceConfig.csvOptsObjectCsvOptionsNo(One of csvOpts, mockOpts, or httpOpts needs to be configured) PartyConfig.featureSourceConfig.csvOpts PartyConfig.featureSourceConfig.csvOpts Object Object CsvOptions CsvOptions CsvOptions CsvOptions No(One of csvOpts, mockOpts, or httpOpts needs to be configured) No(One of csvOpts, mockOpts, or httpOpts needs to be configured) csvOpts mockOpts httpOpts PartyConfig.featureSourceConfig.csvOpts.filePathObjectInput file path, specifies where to load data. Note that this will load all of the data into memory at onceYes PartyConfig.featureSourceConfig.csvOpts.filePath PartyConfig.featureSourceConfig.csvOpts.filePath Object Object Input file path, specifies where to load data. Note that this will load all of the data into memory at once Input file path, specifies where to load data. Note that this will load all of the data into memory at once Yes Yes PartyConfig.featureSourceConfig.csvOpts.idNameObjectId column name, associated with FeatureParam::query_datas. query_datas is a subset of id columnYes PartyConfig.featureSourceConfig.csvOpts.idName PartyConfig.featureSourceConfig.csvOpts.idName Object Object Id column name, associated with FeatureParam::query_datas. query_datas is a subset of id column Id column name, associated with FeatureParam::query_datas. query_datas is a subset of id column FeatureParam::query_datas query_datas Yes Yes PartyConfig.channelDescObjectChannelDescYes PartyConfig.channelDesc PartyConfig.channelDesc Object Object ChannelDesc ChannelDesc ChannelDesc ChannelDesc Yes Yes PartyConfig.channelDesc.protocolstrCommunication protocol, for optional value, see hereYes PartyConfig.channelDesc.protocol PartyConfig.channelDesc.protocol str str Communication protocol, for optional value, see here Communication protocol, for optional value, see here here Yes Yes PartyConfig.channelDesc.rpcTimeoutMsint32Max duration of RPC. -1 means wait indefinitely. Default: 2000 (ms)No PartyConfig.channelDesc.rpcTimeoutMs PartyConfig.channelDesc.rpcTimeoutMs int32 int32 Max duration of RPC. -1 means wait indefinitely. Default: 2000 (ms) Max duration of RPC. -1 means wait indefinitely. Default: 2000 (ms) No No PartyConfig.channelDesc.connectTimeoutMsint32Max duration for a connect. -1 means wait indefinitely. Default: 500 (ms)No PartyConfig.channelDesc.connectTimeoutMs PartyConfig.channelDesc.connectTimeoutMs int32 int32 Max duration for a connect. -1 means wait indefinitely. Default: 500 (ms) Max duration for a connect. -1 means wait indefinitely. Default: 500 (ms) No No predictorPartiesList<str>Indicate which parties can initiate the prediction. Default: AllNo predictorParties predictorParties List<str> List<str> Indicate which parties can initiate the prediction. Default: All Indicate which parties can initiate the prediction. Default: All No No "],[57,"The manifest of the model package. Package format is as follows:\nmodel.tar.gz\n├ MANIFIEST\n├ model_file\n└ some op meta files\nMANIFIEST should be json format FieldTypeDescriptionbundle_path stringModel bundle file path.bundle_format FileFormatTypeThe format type of the model bundle file. FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description bundle_path stringModel bundle file path.bundle_format FileFormatTypeThe format type of the model bundle file. bundle_path stringModel bundle file path. bundle_path bundle_path  string  string  string  string Model bundle file path. Model bundle file path. bundle_format FileFormatTypeThe format type of the model bundle file. bundle_format bundle_format  FileFormatType  FileFormatType  FileFormatType The format type of the model bundle file. The format type of the model bundle file.  "],[50,"The public info for HE compute. FieldTypeDescriptionpk_buf bytesSerialized public key bytesencode_scale int64Encode scale for data FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description pk_buf bytesSerialized public key bytesencode_scale int64Encode scale for data pk_buf bytesSerialized public key bytes pk_buf pk_buf  bytes  bytes  bytes  bytes Serialized public key bytes Serialized public key bytes encode_scale int64Encode scale for data encode_scale encode_scale  int64  int64  int64  int64 Encode scale for data Encode scale for data  "],[54,"The runtime config of the execution. FieldTypeDescriptiondispatch_type DispatchTypeThe dispatch type of the execution.session_run boolThe execution need run in session(stateful) TODO: not support yet.specific_flag boolif dispatch_type is DP_SPECIFIED, only one party should be true FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description dispatch_type DispatchTypeThe dispatch type of the execution.session_run boolThe execution need run in session(stateful) TODO: not support yet.specific_flag boolif dispatch_type is DP_SPECIFIED, only one party should be true dispatch_type DispatchTypeThe dispatch type of the execution. dispatch_type dispatch_type  DispatchType  DispatchType  DispatchType The dispatch type of the execution. The dispatch type of the execution. session_run boolThe execution need run in session(stateful) TODO: not support yet. session_run session_run  bool  bool  bool  bool The execution need run in session(stateful) TODO: not support yet. The execution need run in session(stateful) TODO: not support yet. specific_flag boolif dispatch_type is DP_SPECIFIED, only one party should be true specific_flag specific_flag  bool  bool  bool  bool if dispatch_type is DP_SPECIFIED, only one party should be true if dispatch_type is DP_SPECIFIED, only one party should be true  "],[95,"The serialized data of the node input/output. FieldTypeDescriptiondatasrepeated bytesnone FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description datasrepeated bytesnone datasrepeated bytesnone datas datas repeated bytes repeated bytes repeated bytes repeated bytes none none  "],[271,"The spans generated by Serving contain some attributes. Some of them are filled according to\nthe opentelemetry standard, which has some predefined sematic conversions.\nOther Attributes such as span_info, whose value is a instance of SpanInfo in json format,\nand request_protocol represents the protocol of brpc , you can refer to client protocol\nand server protocol. opentelemetry sematic conversions span_info SpanInfo request_protocol brpc client protocol server protocol "],[25,"The value of a feature FieldTypeDescriptioni32srepeated int32int listi64srepeated int64nonefsrepeated floatfloat listdsrepeated doublenonessrepeated stringstring listbsrepeated boolbool list FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description i32srepeated int32int listi64srepeated int64nonefsrepeated floatfloat listdsrepeated doublenonessrepeated stringstring listbsrepeated boolbool list i32srepeated int32int list i32s i32s repeated int32 repeated int32 repeated int32 repeated int32 int list int list i64srepeated int64none i64s i64s repeated int64 repeated int64 repeated int64 repeated int64 none none fsrepeated floatfloat list fs fs repeated float repeated float repeated float repeated float float list float list dsrepeated doublenone ds ds repeated double repeated double repeated double repeated double none none ssrepeated stringstring list ss ss repeated string repeated string repeated string repeated string string list string list bsrepeated boolbool list bs bs repeated bool repeated bool repeated bool repeated bool bool list bool list  "],[110,"The value of a feature FieldTypeDescriptioni32srepeated int32int listi64srepeated int64nonefsrepeated floatfloat listdsrepeated doublenonessrepeated stringstring listbsrepeated boolbool list FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description i32srepeated int32int listi64srepeated int64nonefsrepeated floatfloat listdsrepeated doublenonessrepeated stringstring listbsrepeated boolbool list i32srepeated int32int list i32s i32s repeated int32 repeated int32 repeated int32 repeated int32 int list int list i64srepeated int64none i64s i64s repeated int64 repeated int64 repeated int64 repeated int64 none none fsrepeated floatfloat list fs fs repeated float repeated float repeated float repeated float float list float list dsrepeated doublenone ds ds repeated double repeated double repeated double repeated double none none ssrepeated stringstring list ss ss repeated string repeated string repeated string repeated string string list string list bsrepeated boolbool list bs bs repeated bool repeated bool repeated bool repeated bool bool list bool list  "],[35,"The value of an attribute FieldTypeDescriptiononeof value.i32 int32INToneof value.i64 int64noneoneof value.f floatFLOAToneof value.d doublenoneoneof value.s stringSTRINGoneof value.b boolBOOLoneof value.by bytesBYTESoneof value.i32s Int32ListINTSoneof value.i64s Int64Listnoneoneof value.fs FloatListFLOATSoneof value.ds DoubleListnoneoneof value.ss StringListSTRINGSoneof value.bs BoolListBOOLSoneof value.bys BytesListBYTESS FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description oneof value.i32 int32INToneof value.i64 int64noneoneof value.f floatFLOAToneof value.d doublenoneoneof value.s stringSTRINGoneof value.b boolBOOLoneof value.by bytesBYTESoneof value.i32s Int32ListINTSoneof value.i64s Int64Listnoneoneof value.fs FloatListFLOATSoneof value.ds DoubleListnoneoneof value.ss StringListSTRINGSoneof value.bs BoolListBOOLSoneof value.bys BytesListBYTESS oneof value.i32 int32INT oneof value.i32 oneof value.i32 oneof oneof  int32  int32  int32  int32 INT INT oneof value.i64 int64none oneof value.i64 oneof value.i64 oneof oneof  int64  int64  int64  int64 none none oneof value.f floatFLOAT oneof value.f oneof value.f oneof oneof  float  float  float  float FLOAT FLOAT oneof value.d doublenone oneof value.d oneof value.d oneof oneof  double  double  double  double none none oneof value.s stringSTRING oneof value.s oneof value.s oneof oneof  string  string  string  string STRING STRING oneof value.b boolBOOL oneof value.b oneof value.b oneof oneof  bool  bool  bool  bool BOOL BOOL oneof value.by bytesBYTES oneof value.by oneof value.by oneof oneof value.by  bytes  bytes  bytes  bytes BYTES BYTES oneof value.i32s Int32ListINTS oneof value.i32s oneof value.i32s oneof oneof  Int32List  Int32List  Int32List INTS INTS oneof value.i64s Int64Listnone oneof value.i64s oneof value.i64s oneof oneof  Int64List  Int64List  Int64List none none oneof value.fs FloatListFLOATS oneof value.fs oneof value.fs oneof oneof  FloatList  FloatList  FloatList FLOATS FLOATS oneof value.ds DoubleListnone oneof value.ds oneof value.ds oneof oneof  DoubleList  DoubleList  DoubleList none none oneof value.ss StringListSTRINGS oneof value.ss oneof value.ss oneof oneof  StringList  StringList  StringList STRINGS STRINGS oneof value.bs BoolListBOOLS oneof value.bs oneof value.bs oneof oneof value.bs  BoolList  BoolList  BoolList BOOLS BOOLS oneof value.bys BytesListBYTESS oneof value.bys oneof value.bys oneof oneof  BytesList  BytesList  BytesList BYTESS BYTESS  "],[48,"The view of a graph is used to display the structure of the graph, containing\nonly structural information and excluding the data components. FieldTypeDescriptionversion stringVersion of the graphnode_listrepeated NodeViewnoneexecution_listrepeated ExecutionDefnonehe_info HeInfononeparty_num int32none FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description version stringVersion of the graphnode_listrepeated NodeViewnoneexecution_listrepeated ExecutionDefnonehe_info HeInfononeparty_num int32none version stringVersion of the graph version version  string  string  string  string Version of the graph Version of the graph node_listrepeated NodeViewnone node_list node_list repeated NodeView repeated NodeView repeated NodeView none none execution_listrepeated ExecutionDefnone execution_list execution_list repeated ExecutionDef repeated ExecutionDef repeated ExecutionDef none none he_info HeInfonone he_info he_info  HeInfo  HeInfo  HeInfo none none party_num int32none party_num party_num  int32  int32  int32  int32 none none  "],[53,"The view of a node, which could be public to other parties FieldTypeDescriptionname stringMust be unique among all nodes of the graph.op stringThe operator name.parentsrepeated stringThe parent node names of the node. The order of the parent nodes should match the order of the inputs of the node.op_version stringThe operator version. FieldTypeDescription FieldTypeDescription Field Field Type Type Description Description name stringMust be unique among all nodes of the graph.op stringThe operator name.parentsrepeated stringThe parent node names of the node. The order of the parent nodes should match the order of the inputs of the node.op_version stringThe operator version. name stringMust be unique among all nodes of the graph. name name  string  string  string  string Must be unique among all nodes of the graph. Must be unique among all nodes of the graph. op stringThe operator name. op op  string  string  string  string The operator name. The operator name. parentsrepeated stringThe parent node names of the node. The order of the parent nodes should match the order of the inputs of the node. parents parents repeated string repeated string repeated string repeated string The parent node names of the node. The order of the parent nodes should match the order of the inputs of the node. The parent node names of the node. The order of the parent nodes should match the order of the inputs of the node. op_version stringThe operator version. op_version op_version  string  string  string  string The operator version. The operator version.  "],[278,"The XGB method uses multiple trees to make predictions, and the final prediction value is the sum of the values predicted by each tree (the resulting leaf node values). During XGB training, a greedy method is used to reduce the calculation amount of selecting the feature value of each node, and when training each tree, the previously trained tree will be used, that is, the residual is used for fitting. For prediction, we just need to use these already trained trees. SGB is XGB in a vertical scenario, that is, multiple parties hold different features and jointly participate in the calculation, and during the training and prediction process, the data of each party will not be leaked. "],[284,"This document describes how to deploy SecretFlow-Serving with docker, it’s basically same with Quickstart, but deployed in multi-machine. Quickstart Before start this doc, we assume that the reader has some experience using the docker-compose utility. If you are new to Docker Compose, please consider reviewing the official Docker Compose overview, or checking out the Getting Started guide. official Docker Compose overview Getting Started guide "],[281,"To deploy SecretFlow-Serving in Kusica, you first need to register the template information for the application image. The specific registration method can be found here. The AppImage for SecretFlow-Serving is as follows: here AppImage  You can also use mirrors at Alibaba Cloud: secretflow-registry.cn-hangzhou.cr.aliyuncs.com/secretflow/serving-anolis8:latestsecretflow-registry.cn-hangzhou.cr.aliyuncs.com/secretflow/serving-anolis8:[tag] You can also use mirrors at Alibaba Cloud: secretflow-registry.cn-hangzhou.cr.aliyuncs.com/secretflow/serving-anolis8:latestsecretflow-registry.cn-hangzhou.cr.aliyuncs.com/secretflow/serving-anolis8:[tag] secretflow-registry.cn-hangzhou.cr.aliyuncs.com/secretflow/serving-anolis8:latestsecretflow-registry.cn-hangzhou.cr.aliyuncs.com/secretflow/serving-anolis8:[tag] The explanation of the common fields can be found here. here Other field explanations are as follows: \n\nconfigTemplates:\n\nserving-config.conf:\nserving_id: Service ID identifier, corresponding to the configuration ServingConfig.id. The current content is a placeholder and will actually be replaced by the content in Kuscia API /api/v1/serving/create at startup.\ninput_config: SecretFlow-Serving startup configuration, details can be seen in the description below. The current content is a placeholder and will actually be replaced by the content in Kuscia API /api/v1/serving/create at startup.\ncluster_def: See AppImage explanation.\nallocated_ports: See AppImage explanation.\noss_meta: OSS/S3 model source configuration, only effective when using OSS/S3 as the model data source. The actual content is in the form of a string-formatted JSON configuration, for example” {\\\"access_key\\\":\\\"test_ak\\\", \\\"secret_key\\\":\\\"test_sk\\\", \\\"virtual_hosted\\\":true, \\\"endpoint\\\":\\\"test_endpoint\\\", \\\"bucket\\\":\\\"test_bucket\\\"}, the definition can be found here. This is an optional configuration and can be set up through the Kuscia configuration management system if needed.\nspi_tls_config: The TLS configuration used by SPI. The actual content is in the form of a string-formatted JSON configuration, for example: {\\\"certificate_path\\\":\\\"abc\\\", \\\"private_key_path\\\":\\\"def\\\",\\\"ca_file_path\\\":\\\"gkh\\\"}, the definition can be found here. This is an optional configuration and can be set up through the Kuscia configuration management system if needed.\nhttp_source_meta: HTTP model source configuration, only effective when using HTTP as the model data source. The actual content is in the form of a string-formatted JSON configuration, for example” {\\\"connectTimeoutMs\\\":60000,\\\"timeoutMs\\\":120000,\\\"tlsConfig\\\":{\\\"certificatePath\\\":\\\"abc\\\", \\\"privateKeyPath\\\":\\\"def\\\",\\\"caFilePath\\\":\\\"gkh\\\"}}, the definition can be found here. This is an optional configuration and can be set up through the Kuscia configuration management system if needed.\n\n\n\nlogging-config.conf: SecretFlow-Serving Log Configuration. The actual content is in the form of a string-formatted JSON configuration, for example” {\\\"systemLogPath\\\":\\\"/tmp/alice/serving.log\\\",\\\"logLevel\\\":\\\"INFO_LOG_LEVEL\\\",\\\"maxLogFileSize\\\":4194304,\\\"maxLogFileCount\\\":10}, the definition can be found here. This is an optional configuration and can be set up through the Kuscia configuration management system if needed.\n\n\ntrace-config.conf: SecretFlow-Serving Trace Configuration. The actual content is in the form of a string-formatted JSON configuration, for example” {\\\"traceLogEnable\\\":true,\\\"traceLogConf\\\":{\\\"traceLogPath\\\":\\\"/tmp/trace.log\\\"}}, the definition can be found here. This is an optional configuration and can be set up through the Kuscia configuration management system if needed.\n\n\n\n\nports:\nservice: The ServerConfig.service_port\ncommunication: The ServerConfig.communication_port\ninternal: The ServerConfig.metrics_exposer_port\nbrpc-builtin: The ServerConfig.brpc_builtin_service_port\n\n\n \nconfigTemplates:\n\nserving-config.conf:\nserving_id: Service ID identifier, corresponding to the configuration ServingConfig.id. The current content is a placeholder and will actually be replaced by the content in Kuscia API /api/v1/serving/create at startup.\ninput_config: SecretFlow-Serving startup configuration, details can be seen in the description below. The current content is a placeholder and will actually be replaced by the content in Kuscia API /api/v1/serving/create at startup.\ncluster_def: See AppImage explanation.\nallocated_ports: See AppImage explanation.\noss_meta: OSS/S3 model source configuration, only effective when using OSS/S3 as the model data source. The actual content is in the form of a string-formatted JSON configuration, for example” {\\\"access_key\\\":\\\"test_ak\\\", \\\"secret_key\\\":\\\"test_sk\\\", \\\"virtual_hosted\\\":true, \\\"endpoint\\\":\\\"test_endpoint\\\", \\\"bucket\\\":\\\"test_bucket\\\"}, the definition can be found here. This is an optional configuration and can be set up through the Kuscia configuration management system if needed.\nspi_tls_config: The TLS configuration used by SPI. The actual content is in the form of a string-formatted JSON configuration, for example: {\\\"certificate_path\\\":\\\"abc\\\", \\\"private_key_path\\\":\\\"def\\\",\\\"ca_file_path\\\":\\\"gkh\\\"}, the definition can be found here. This is an optional configuration and can be set up through the Kuscia configuration management system if needed.\nhttp_source_meta: HTTP model source configuration, only effective when using HTTP as the model data source. The actual content is in the form of a string-formatted JSON configuration, for example” {\\\"connectTimeoutMs\\\":60000,\\\"timeoutMs\\\":120000,\\\"tlsConfig\\\":{\\\"certificatePath\\\":\\\"abc\\\", \\\"privateKeyPath\\\":\\\"def\\\",\\\"caFilePath\\\":\\\"gkh\\\"}}, the definition can be found here. This is an optional configuration and can be set up through the Kuscia configuration management system if needed.\n\n\n\nlogging-config.conf: SecretFlow-Serving Log Configuration. The actual content is in the form of a string-formatted JSON configuration, for example” {\\\"systemLogPath\\\":\\\"/tmp/alice/serving.log\\\",\\\"logLevel\\\":\\\"INFO_LOG_LEVEL\\\",\\\"maxLogFileSize\\\":4194304,\\\"maxLogFileCount\\\":10}, the definition can be found here. This is an optional configuration and can be set up through the Kuscia configuration management system if needed.\n\n\ntrace-config.conf: SecretFlow-Serving Trace Configuration. The actual content is in the form of a string-formatted JSON configuration, for example” {\\\"traceLogEnable\\\":true,\\\"traceLogConf\\\":{\\\"traceLogPath\\\":\\\"/tmp/trace.log\\\"}}, the definition can be found here. This is an optional configuration and can be set up through the Kuscia configuration management system if needed.\n\n\n configTemplates:\n\nserving-config.conf:\nserving_id: Service ID identifier, corresponding to the configuration ServingConfig.id. The current content is a placeholder and will actually be replaced by the content in Kuscia API /api/v1/serving/create at startup.\ninput_config: SecretFlow-Serving startup configuration, details can be seen in the description below. The current content is a placeholder and will actually be replaced by the content in Kuscia API /api/v1/serving/create at startup.\ncluster_def: See AppImage explanation.\nallocated_ports: See AppImage explanation.\noss_meta: OSS/S3 model source configuration, only effective when using OSS/S3 as the model data source. The actual content is in the form of a string-formatted JSON configuration, for example” {\\\"access_key\\\":\\\"test_ak\\\", \\\"secret_key\\\":\\\"test_sk\\\", \\\"virtual_hosted\\\":true, \\\"endpoint\\\":\\\"test_endpoint\\\", \\\"bucket\\\":\\\"test_bucket\\\"}, the definition can be found here. This is an optional configuration and can be set up through the Kuscia configuration management system if needed.\nspi_tls_config: The TLS configuration used by SPI. The actual content is in the form of a string-formatted JSON configuration, for example: {\\\"certificate_path\\\":\\\"abc\\\", \\\"private_key_path\\\":\\\"def\\\",\\\"ca_file_path\\\":\\\"gkh\\\"}, the definition can be found here. This is an optional configuration and can be set up through the Kuscia configuration management system if needed.\nhttp_source_meta: HTTP model source configuration, only effective when using HTTP as the model data source. The actual content is in the form of a string-formatted JSON configuration, for example” {\\\"connectTimeoutMs\\\":60000,\\\"timeoutMs\\\":120000,\\\"tlsConfig\\\":{\\\"certificatePath\\\":\\\"abc\\\", \\\"privateKeyPath\\\":\\\"def\\\",\\\"caFilePath\\\":\\\"gkh\\\"}}, the definition can be found here. This is an optional configuration and can be set up through the Kuscia configuration management system if needed.\n\n\n\nlogging-config.conf: SecretFlow-Serving Log Configuration. The actual content is in the form of a string-formatted JSON configuration, for example” {\\\"systemLogPath\\\":\\\"/tmp/alice/serving.log\\\",\\\"logLevel\\\":\\\"INFO_LOG_LEVEL\\\",\\\"maxLogFileSize\\\":4194304,\\\"maxLogFileCount\\\":10}, the definition can be found here. This is an optional configuration and can be set up through the Kuscia configuration management system if needed.\n\n\ntrace-config.conf: SecretFlow-Serving Trace Configuration. The actual content is in the form of a string-formatted JSON configuration, for example” {\\\"traceLogEnable\\\":true,\\\"traceLogConf\\\":{\\\"traceLogPath\\\":\\\"/tmp/trace.log\\\"}}, the definition can be found here. This is an optional configuration and can be set up through the Kuscia configuration management system if needed.\n\n configTemplates:\n\nserving-config.conf:\nserving_id: Service ID identifier, corresponding to the configuration ServingConfig.id. The current content is a placeholder and will actually be replaced by the content in Kuscia API /api/v1/serving/create at startup.\ninput_config: SecretFlow-Serving startup configuration, details can be seen in the description below. The current content is a placeholder and will actually be replaced by the content in Kuscia API /api/v1/serving/create at startup.\ncluster_def: See AppImage explanation.\nallocated_ports: See AppImage explanation.\noss_meta: OSS/S3 model source configuration, only effective when using OSS/S3 as the model data source. The actual content is in the form of a string-formatted JSON configuration, for example” {\\\"access_key\\\":\\\"test_ak\\\", \\\"secret_key\\\":\\\"test_sk\\\", \\\"virtual_hosted\\\":true, \\\"endpoint\\\":\\\"test_endpoint\\\", \\\"bucket\\\":\\\"test_bucket\\\"}, the definition can be found here. This is an optional configuration and can be set up through the Kuscia configuration management system if needed.\nspi_tls_config: The TLS configuration used by SPI. The actual content is in the form of a string-formatted JSON configuration, for example: {\\\"certificate_path\\\":\\\"abc\\\", \\\"private_key_path\\\":\\\"def\\\",\\\"ca_file_path\\\":\\\"gkh\\\"}, the definition can be found here. This is an optional configuration and can be set up through the Kuscia configuration management system if needed.\nhttp_source_meta: HTTP model source configuration, only effective when using HTTP as the model data source. The actual content is in the form of a string-formatted JSON configuration, for example” {\\\"connectTimeoutMs\\\":60000,\\\"timeoutMs\\\":120000,\\\"tlsConfig\\\":{\\\"certificatePath\\\":\\\"abc\\\", \\\"privateKeyPath\\\":\\\"def\\\",\\\"caFilePath\\\":\\\"gkh\\\"}}, the definition can be found here. This is an optional configuration and can be set up through the Kuscia configuration management system if needed.\n\n\n\nlogging-config.conf: SecretFlow-Serving Log Configuration. The actual content is in the form of a string-formatted JSON configuration, for example” {\\\"systemLogPath\\\":\\\"/tmp/alice/serving.log\\\",\\\"logLevel\\\":\\\"INFO_LOG_LEVEL\\\",\\\"maxLogFileSize\\\":4194304,\\\"maxLogFileCount\\\":10}, the definition can be found here. This is an optional configuration and can be set up through the Kuscia configuration management system if needed.\n\n\ntrace-config.conf: SecretFlow-Serving Trace Configuration. The actual content is in the form of a string-formatted JSON configuration, for example” {\\\"traceLogEnable\\\":true,\\\"traceLogConf\\\":{\\\"traceLogPath\\\":\\\"/tmp/trace.log\\\"}}, the definition can be found here. This is an optional configuration and can be set up through the Kuscia configuration management system if needed.\n\n configTemplates: configTemplates: configTemplates: configTemplates \n\nserving-config.conf:\nserving_id: Service ID identifier, corresponding to the configuration ServingConfig.id. The current content is a placeholder and will actually be replaced by the content in Kuscia API /api/v1/serving/create at startup.\ninput_config: SecretFlow-Serving startup configuration, details can be seen in the description below. The current content is a placeholder and will actually be replaced by the content in Kuscia API /api/v1/serving/create at startup.\ncluster_def: See AppImage explanation.\nallocated_ports: See AppImage explanation.\noss_meta: OSS/S3 model source configuration, only effective when using OSS/S3 as the model data source. The actual content is in the form of a string-formatted JSON configuration, for example” {\\\"access_key\\\":\\\"test_ak\\\", \\\"secret_key\\\":\\\"test_sk\\\", \\\"virtual_hosted\\\":true, \\\"endpoint\\\":\\\"test_endpoint\\\", \\\"bucket\\\":\\\"test_bucket\\\"}, the definition can be found here. This is an optional configuration and can be set up through the Kuscia configuration management system if needed.\nspi_tls_config: The TLS configuration used by SPI. The actual content is in the form of a string-formatted JSON configuration, for example: {\\\"certificate_path\\\":\\\"abc\\\", \\\"private_key_path\\\":\\\"def\\\",\\\"ca_file_path\\\":\\\"gkh\\\"}, the definition can be found here. This is an optional configuration and can be set up through the Kuscia configuration management system if needed.\nhttp_source_meta: HTTP model source configuration, only effective when using HTTP as the model data source. The actual content is in the form of a string-formatted JSON configuration, for example” {\\\"connectTimeoutMs\\\":60000,\\\"timeoutMs\\\":120000,\\\"tlsConfig\\\":{\\\"certificatePath\\\":\\\"abc\\\", \\\"privateKeyPath\\\":\\\"def\\\",\\\"caFilePath\\\":\\\"gkh\\\"}}, the definition can be found here. This is an optional configuration and can be set up through the Kuscia configuration management system if needed.\n\n\n\nlogging-config.conf: SecretFlow-Serving Log Configuration. The actual content is in the form of a string-formatted JSON configuration, for example” {\\\"systemLogPath\\\":\\\"/tmp/alice/serving.log\\\",\\\"logLevel\\\":\\\"INFO_LOG_LEVEL\\\",\\\"maxLogFileSize\\\":4194304,\\\"maxLogFileCount\\\":10}, the definition can be found here. This is an optional configuration and can be set up through the Kuscia configuration management system if needed.\n\n\ntrace-config.conf: SecretFlow-Serving Trace Configuration. The actual content is in the form of a string-formatted JSON configuration, for example” {\\\"traceLogEnable\\\":true,\\\"traceLogConf\\\":{\\\"traceLogPath\\\":\\\"/tmp/trace.log\\\"}}, the definition can be found here. This is an optional configuration and can be set up through the Kuscia configuration management system if needed.\n\n \n\nserving-config.conf:\nserving_id: Service ID identifier, corresponding to the configuration ServingConfig.id. The current content is a placeholder and will actually be replaced by the content in Kuscia API /api/v1/serving/create at startup.\ninput_config: SecretFlow-Serving startup configuration, details can be seen in the description below. The current content is a placeholder and will actually be replaced by the content in Kuscia API /api/v1/serving/create at startup.\ncluster_def: See AppImage explanation.\nallocated_ports: See AppImage explanation.\noss_meta: OSS/S3 model source configuration, only effective when using OSS/S3 as the model data source. The actual content is in the form of a string-formatted JSON configuration, for example” {\\\"access_key\\\":\\\"test_ak\\\", \\\"secret_key\\\":\\\"test_sk\\\", \\\"virtual_hosted\\\":true, \\\"endpoint\\\":\\\"test_endpoint\\\", \\\"bucket\\\":\\\"test_bucket\\\"}, the definition can be found here. This is an optional configuration and can be set up through the Kuscia configuration management system if needed.\nspi_tls_config: The TLS configuration used by SPI. The actual content is in the form of a string-formatted JSON configuration, for example: {\\\"certificate_path\\\":\\\"abc\\\", \\\"private_key_path\\\":\\\"def\\\",\\\"ca_file_path\\\":\\\"gkh\\\"}, the definition can be found here. This is an optional configuration and can be set up through the Kuscia configuration management system if needed.\nhttp_source_meta: HTTP model source configuration, only effective when using HTTP as the model data source. The actual content is in the form of a string-formatted JSON configuration, for example” {\\\"connectTimeoutMs\\\":60000,\\\"timeoutMs\\\":120000,\\\"tlsConfig\\\":{\\\"certificatePath\\\":\\\"abc\\\", \\\"privateKeyPath\\\":\\\"def\\\",\\\"caFilePath\\\":\\\"gkh\\\"}}, the definition can be found here. This is an optional configuration and can be set up through the Kuscia configuration management system if needed.\n\n\n\nlogging-config.conf: SecretFlow-Serving Log Configuration. The actual content is in the form of a string-formatted JSON configuration, for example” {\\\"systemLogPath\\\":\\\"/tmp/alice/serving.log\\\",\\\"logLevel\\\":\\\"INFO_LOG_LEVEL\\\",\\\"maxLogFileSize\\\":4194304,\\\"maxLogFileCount\\\":10}, the definition can be found here. This is an optional configuration and can be set up through the Kuscia configuration management system if needed.\n\n\ntrace-config.conf: SecretFlow-Serving Trace Configuration. The actual content is in the form of a string-formatted JSON configuration, for example” {\\\"traceLogEnable\\\":true,\\\"traceLogConf\\\":{\\\"traceLogPath\\\":\\\"/tmp/trace.log\\\"}}, the definition can be found here. This is an optional configuration and can be set up through the Kuscia configuration management system if needed.\n\n \nserving-config.conf:\nserving_id: Service ID identifier, corresponding to the configuration ServingConfig.id. The current content is a placeholder and will actually be replaced by the content in Kuscia API /api/v1/serving/create at startup.\ninput_config: SecretFlow-Serving startup configuration, details can be seen in the description below. The current content is a placeholder and will actually be replaced by the content in Kuscia API /api/v1/serving/create at startup.\ncluster_def: See AppImage explanation.\nallocated_ports: See AppImage explanation.\noss_meta: OSS/S3 model source configuration, only effective when using OSS/S3 as the model data source. The actual content is in the form of a string-formatted JSON configuration, for example” {\\\"access_key\\\":\\\"test_ak\\\", \\\"secret_key\\\":\\\"test_sk\\\", \\\"virtual_hosted\\\":true, \\\"endpoint\\\":\\\"test_endpoint\\\", \\\"bucket\\\":\\\"test_bucket\\\"}, the definition can be found here. This is an optional configuration and can be set up through the Kuscia configuration management system if needed.\nspi_tls_config: The TLS configuration used by SPI. The actual content is in the form of a string-formatted JSON configuration, for example: {\\\"certificate_path\\\":\\\"abc\\\", \\\"private_key_path\\\":\\\"def\\\",\\\"ca_file_path\\\":\\\"gkh\\\"}, the definition can be found here. This is an optional configuration and can be set up through the Kuscia configuration management system if needed.\nhttp_source_meta: HTTP model source configuration, only effective when using HTTP as the model data source. The actual content is in the form of a string-formatted JSON configuration, for example” {\\\"connectTimeoutMs\\\":60000,\\\"timeoutMs\\\":120000,\\\"tlsConfig\\\":{\\\"certificatePath\\\":\\\"abc\\\", \\\"privateKeyPath\\\":\\\"def\\\",\\\"caFilePath\\\":\\\"gkh\\\"}}, the definition can be found here. This is an optional configuration and can be set up through the Kuscia configuration management system if needed.\n\n serving-config.conf:\nserving_id: Service ID identifier, corresponding to the configuration ServingConfig.id. The current content is a placeholder and will actually be replaced by the content in Kuscia API /api/v1/serving/create at startup.\ninput_config: SecretFlow-Serving startup configuration, details can be seen in the description below. The current content is a placeholder and will actually be replaced by the content in Kuscia API /api/v1/serving/create at startup.\ncluster_def: See AppImage explanation.\nallocated_ports: See AppImage explanation.\noss_meta: OSS/S3 model source configuration, only effective when using OSS/S3 as the model data source. The actual content is in the form of a string-formatted JSON configuration, for example” {\\\"access_key\\\":\\\"test_ak\\\", \\\"secret_key\\\":\\\"test_sk\\\", \\\"virtual_hosted\\\":true, \\\"endpoint\\\":\\\"test_endpoint\\\", \\\"bucket\\\":\\\"test_bucket\\\"}, the definition can be found here. This is an optional configuration and can be set up through the Kuscia configuration management system if needed.\nspi_tls_config: The TLS configuration used by SPI. The actual content is in the form of a string-formatted JSON configuration, for example: {\\\"certificate_path\\\":\\\"abc\\\", \\\"private_key_path\\\":\\\"def\\\",\\\"ca_file_path\\\":\\\"gkh\\\"}, the definition can be found here. This is an optional configuration and can be set up through the Kuscia configuration management system if needed.\nhttp_source_meta: HTTP model source configuration, only effective when using HTTP as the model data source. The actual content is in the form of a string-formatted JSON configuration, for example” {\\\"connectTimeoutMs\\\":60000,\\\"timeoutMs\\\":120000,\\\"tlsConfig\\\":{\\\"certificatePath\\\":\\\"abc\\\", \\\"privateKeyPath\\\":\\\"def\\\",\\\"caFilePath\\\":\\\"gkh\\\"}}, the definition can be found here. This is an optional configuration and can be set up through the Kuscia configuration management system if needed.\n serving-config.conf:\nserving_id: Service ID identifier, corresponding to the configuration ServingConfig.id. The current content is a placeholder and will actually be replaced by the content in Kuscia API /api/v1/serving/create at startup.\ninput_config: SecretFlow-Serving startup configuration, details can be seen in the description below. The current content is a placeholder and will actually be replaced by the content in Kuscia API /api/v1/serving/create at startup.\ncluster_def: See AppImage explanation.\nallocated_ports: See AppImage explanation.\noss_meta: OSS/S3 model source configuration, only effective when using OSS/S3 as the model data source. The actual content is in the form of a string-formatted JSON configuration, for example” {\\\"access_key\\\":\\\"test_ak\\\", \\\"secret_key\\\":\\\"test_sk\\\", \\\"virtual_hosted\\\":true, \\\"endpoint\\\":\\\"test_endpoint\\\", \\\"bucket\\\":\\\"test_bucket\\\"}, the definition can be found here. This is an optional configuration and can be set up through the Kuscia configuration management system if needed.\nspi_tls_config: The TLS configuration used by SPI. The actual content is in the form of a string-formatted JSON configuration, for example: {\\\"certificate_path\\\":\\\"abc\\\", \\\"private_key_path\\\":\\\"def\\\",\\\"ca_file_path\\\":\\\"gkh\\\"}, the definition can be found here. This is an optional configuration and can be set up through the Kuscia configuration management system if needed.\nhttp_source_meta: HTTP model source configuration, only effective when using HTTP as the model data source. The actual content is in the form of a string-formatted JSON configuration, for example” {\\\"connectTimeoutMs\\\":60000,\\\"timeoutMs\\\":120000,\\\"tlsConfig\\\":{\\\"certificatePath\\\":\\\"abc\\\", \\\"privateKeyPath\\\":\\\"def\\\",\\\"caFilePath\\\":\\\"gkh\\\"}}, the definition can be found here. This is an optional configuration and can be set up through the Kuscia configuration management system if needed.\n serving-config.conf: serving-config.conf: serving-config.conf: serving-config.conf \nserving_id: Service ID identifier, corresponding to the configuration ServingConfig.id. The current content is a placeholder and will actually be replaced by the content in Kuscia API /api/v1/serving/create at startup.\ninput_config: SecretFlow-Serving startup configuration, details can be seen in the description below. The current content is a placeholder and will actually be replaced by the content in Kuscia API /api/v1/serving/create at startup.\ncluster_def: See AppImage explanation.\nallocated_ports: See AppImage explanation.\noss_meta: OSS/S3 model source configuration, only effective when using OSS/S3 as the model data source. The actual content is in the form of a string-formatted JSON configuration, for example” {\\\"access_key\\\":\\\"test_ak\\\", \\\"secret_key\\\":\\\"test_sk\\\", \\\"virtual_hosted\\\":true, \\\"endpoint\\\":\\\"test_endpoint\\\", \\\"bucket\\\":\\\"test_bucket\\\"}, the definition can be found here. This is an optional configuration and can be set up through the Kuscia configuration management system if needed.\nspi_tls_config: The TLS configuration used by SPI. The actual content is in the form of a string-formatted JSON configuration, for example: {\\\"certificate_path\\\":\\\"abc\\\", \\\"private_key_path\\\":\\\"def\\\",\\\"ca_file_path\\\":\\\"gkh\\\"}, the definition can be found here. This is an optional configuration and can be set up through the Kuscia configuration management system if needed.\nhttp_source_meta: HTTP model source configuration, only effective when using HTTP as the model data source. The actual content is in the form of a string-formatted JSON configuration, for example” {\\\"connectTimeoutMs\\\":60000,\\\"timeoutMs\\\":120000,\\\"tlsConfig\\\":{\\\"certificatePath\\\":\\\"abc\\\", \\\"privateKeyPath\\\":\\\"def\\\",\\\"caFilePath\\\":\\\"gkh\\\"}}, the definition can be found here. This is an optional configuration and can be set up through the Kuscia configuration management system if needed.\n \nserving_id: Service ID identifier, corresponding to the configuration ServingConfig.id. The current content is a placeholder and will actually be replaced by the content in Kuscia API /api/v1/serving/create at startup.\ninput_config: SecretFlow-Serving startup configuration, details can be seen in the description below. The current content is a placeholder and will actually be replaced by the content in Kuscia API /api/v1/serving/create at startup.\ncluster_def: See AppImage explanation.\nallocated_ports: See AppImage explanation.\noss_meta: OSS/S3 model source configuration, only effective when using OSS/S3 as the model data source. The actual content is in the form of a string-formatted JSON configuration, for example” {\\\"access_key\\\":\\\"test_ak\\\", \\\"secret_key\\\":\\\"test_sk\\\", \\\"virtual_hosted\\\":true, \\\"endpoint\\\":\\\"test_endpoint\\\", \\\"bucket\\\":\\\"test_bucket\\\"}, the definition can be found here. This is an optional configuration and can be set up through the Kuscia configuration management system if needed.\nspi_tls_config: The TLS configuration used by SPI. The actual content is in the form of a string-formatted JSON configuration, for example: {\\\"certificate_path\\\":\\\"abc\\\", \\\"private_key_path\\\":\\\"def\\\",\\\"ca_file_path\\\":\\\"gkh\\\"}, the definition can be found here. This is an optional configuration and can be set up through the Kuscia configuration management system if needed.\nhttp_source_meta: HTTP model source configuration, only effective when using HTTP as the model data source. The actual content is in the form of a string-formatted JSON configuration, for example” {\\\"connectTimeoutMs\\\":60000,\\\"timeoutMs\\\":120000,\\\"tlsConfig\\\":{\\\"certificatePath\\\":\\\"abc\\\", \\\"privateKeyPath\\\":\\\"def\\\",\\\"caFilePath\\\":\\\"gkh\\\"}}, the definition can be found here. This is an optional configuration and can be set up through the Kuscia configuration management system if needed.\n serving_id: Service ID identifier, corresponding to the configuration ServingConfig.id. The current content is a placeholder and will actually be replaced by the content in Kuscia API /api/v1/serving/create at startup. serving_id ServingConfig.id ServingConfig.id Kuscia API /api/v1/serving/create input_config: SecretFlow-Serving startup configuration, details can be seen in the description below. The current content is a placeholder and will actually be replaced by the content in Kuscia API /api/v1/serving/create at startup. input_config Kuscia API /api/v1/serving/create cluster_def: See AppImage explanation. cluster_def AppImage explanation allocated_ports: See AppImage explanation. allocated_ports AppImage explanation oss_meta: OSS/S3 model source configuration, only effective when using OSS/S3 as the model data source. The actual content is in the form of a string-formatted JSON configuration, for example” {\\\"access_key\\\":\\\"test_ak\\\", \\\"secret_key\\\":\\\"test_sk\\\", \\\"virtual_hosted\\\":true, \\\"endpoint\\\":\\\"test_endpoint\\\", \\\"bucket\\\":\\\"test_bucket\\\"}, the definition can be found here. This is an optional configuration and can be set up through the Kuscia configuration management system if needed. oss_meta {\\\"access_key\\\":\\\"test_ak\\\", \\\"secret_key\\\":\\\"test_sk\\\", \\\"virtual_hosted\\\":true, \\\"endpoint\\\":\\\"test_endpoint\\\", \\\"bucket\\\":\\\"test_bucket\\\"} here here Kuscia configuration management spi_tls_config: The TLS configuration used by SPI. The actual content is in the form of a string-formatted JSON configuration, for example: {\\\"certificate_path\\\":\\\"abc\\\", \\\"private_key_path\\\":\\\"def\\\",\\\"ca_file_path\\\":\\\"gkh\\\"}, the definition can be found here. This is an optional configuration and can be set up through the Kuscia configuration management system if needed. spi_tls_config {\\\"certificate_path\\\":\\\"abc\\\", \\\"private_key_path\\\":\\\"def\\\",\\\"ca_file_path\\\":\\\"gkh\\\"} here here Kuscia configuration management http_source_meta: HTTP model source configuration, only effective when using HTTP as the model data source. The actual content is in the form of a string-formatted JSON configuration, for example” {\\\"connectTimeoutMs\\\":60000,\\\"timeoutMs\\\":120000,\\\"tlsConfig\\\":{\\\"certificatePath\\\":\\\"abc\\\", \\\"privateKeyPath\\\":\\\"def\\\",\\\"caFilePath\\\":\\\"gkh\\\"}}, the definition can be found here. This is an optional configuration and can be set up through the Kuscia configuration management system if needed. http_source_meta {\\\"connectTimeoutMs\\\":60000,\\\"timeoutMs\\\":120000,\\\"tlsConfig\\\":{\\\"certificatePath\\\":\\\"abc\\\", \\\"privateKeyPath\\\":\\\"def\\\",\\\"caFilePath\\\":\\\"gkh\\\"}} here here Kuscia configuration management \nlogging-config.conf: SecretFlow-Serving Log Configuration. The actual content is in the form of a string-formatted JSON configuration, for example” {\\\"systemLogPath\\\":\\\"/tmp/alice/serving.log\\\",\\\"logLevel\\\":\\\"INFO_LOG_LEVEL\\\",\\\"maxLogFileSize\\\":4194304,\\\"maxLogFileCount\\\":10}, the definition can be found here. This is an optional configuration and can be set up through the Kuscia configuration management system if needed.\n logging-config.conf: SecretFlow-Serving Log Configuration. The actual content is in the form of a string-formatted JSON configuration, for example” {\\\"systemLogPath\\\":\\\"/tmp/alice/serving.log\\\",\\\"logLevel\\\":\\\"INFO_LOG_LEVEL\\\",\\\"maxLogFileSize\\\":4194304,\\\"maxLogFileCount\\\":10}, the definition can be found here. This is an optional configuration and can be set up through the Kuscia configuration management system if needed. logging-config.conf {\\\"systemLogPath\\\":\\\"/tmp/alice/serving.log\\\",\\\"logLevel\\\":\\\"INFO_LOG_LEVEL\\\",\\\"maxLogFileSize\\\":4194304,\\\"maxLogFileCount\\\":10} here here Kuscia configuration management \ntrace-config.conf: SecretFlow-Serving Trace Configuration. The actual content is in the form of a string-formatted JSON configuration, for example” {\\\"traceLogEnable\\\":true,\\\"traceLogConf\\\":{\\\"traceLogPath\\\":\\\"/tmp/trace.log\\\"}}, the definition can be found here. This is an optional configuration and can be set up through the Kuscia configuration management system if needed.\n trace-config.conf: SecretFlow-Serving Trace Configuration. The actual content is in the form of a string-formatted JSON configuration, for example” {\\\"traceLogEnable\\\":true,\\\"traceLogConf\\\":{\\\"traceLogPath\\\":\\\"/tmp/trace.log\\\"}}, the definition can be found here. This is an optional configuration and can be set up through the Kuscia configuration management system if needed. trace-config.conf {\\\"traceLogEnable\\\":true,\\\"traceLogConf\\\":{\\\"traceLogPath\\\":\\\"/tmp/trace.log\\\"}} here here Kuscia configuration management \nports:\nservice: The ServerConfig.service_port\ncommunication: The ServerConfig.communication_port\ninternal: The ServerConfig.metrics_exposer_port\nbrpc-builtin: The ServerConfig.brpc_builtin_service_port\n\n ports:\nservice: The ServerConfig.service_port\ncommunication: The ServerConfig.communication_port\ninternal: The ServerConfig.metrics_exposer_port\nbrpc-builtin: The ServerConfig.brpc_builtin_service_port\n ports:\nservice: The ServerConfig.service_port\ncommunication: The ServerConfig.communication_port\ninternal: The ServerConfig.metrics_exposer_port\nbrpc-builtin: The ServerConfig.brpc_builtin_service_port\n ports: ports: ports: ports \nservice: The ServerConfig.service_port\ncommunication: The ServerConfig.communication_port\ninternal: The ServerConfig.metrics_exposer_port\nbrpc-builtin: The ServerConfig.brpc_builtin_service_port\n \nservice: The ServerConfig.service_port\ncommunication: The ServerConfig.communication_port\ninternal: The ServerConfig.metrics_exposer_port\nbrpc-builtin: The ServerConfig.brpc_builtin_service_port\n service: The ServerConfig.service_port service ServerConfig.service_port ServerConfig.service_port communication: The ServerConfig.communication_port communication ServerConfig.communication_port ServerConfig.communication_port internal: The ServerConfig.metrics_exposer_port internal ServerConfig.metrics_exposer_port ServerConfig.metrics_exposer_port brpc-builtin: The ServerConfig.brpc_builtin_service_port brpc-builtin ServerConfig.brpc_builtin_service_port ServerConfig.brpc_builtin_service_port "],[251,"To understand the architecture of Secretflow-Serving, you need to understand the following key concepts: "],[9,"Use docker-compose to deploy a SecretFlow-Serving cluster, the query the model using the predict API. docker-compose "],[275,"Vertical means that multiple parties participating in the prediction hold part of the feature value. For example, assuming that the parties include Alice and Bob, predicting housing prices, Alice owns the area of the house, and Bob owns the which floor where the house is located. Then when the model is trained, Alice You will get the model coefficient of the area, Bob will get the coefficient of floor number, and the bias value will be saved in either side. When calculating, as shown in the figure below, each party will use their own coefficients to do dot multiplication calculation (DotProduct operator), and then send it to one party for merging (MergeY operator), and finally get the result:   Here, for the simplicity of the illustration, the area number and floor number are sent to Alice. This is not allowed because Alice shall not know Bob’s feature data. When predicting, all Alice sends to Bob is the query data, and Bob will use the query data to know what data should be used for joint calculation. "],[272,"We will introduce two common vertical prediction models. Vertical means that the participating parties each hold different feature values of the same entity. For example, one party has height data and the other party has weight data for the same person. The two parties will use PSI or other methods to align their datas. The data they have is aligned and jointly predicted through the ID shared by both parties. This article assumes that we already have a model and does not introduce the origin of the model. If you are interested in the generation of the model, that is, the training process, you can refer to the relevant documents of Secretflow . The principle is that during the training and prediction process, both parties are invisible to each other’s data, they cannot send raw data to each other. Secretflow "],[269,"When starting SecretFlow-Serving, you can specify a config file according to TraceConfig in json format like this: TraceConfig  You can also view the example. example Currently SecretFlow-Serving supports export span info to a trace log file.\nYou can specify a filename and other options in configuration. "],[259,"You can configure the log path, log level, etc. by specifying the LoggingConfig when serving is started.\nYou can also view the example. LoggingConfig example "],[10,"You could start SecretFlow-Serving service via docker-compose, it would deploy and start services as shown in the following figure, it contains two SecretFlow-Serving from party Alice, Bob. docker-compose Alice Bob   To demonstrate SecretFlow-Serving, we conducted the following simplified operations:\nBoth parties of Secretflow-Serving use mock feature source to produce random feature values.\nThe model files in the examples directory are loaded by Alice and Bob’s Secretflow-Serving respectively。\nThe SecretFlow-Serving in this example provides services through the HTTP protocol. However, for a production environment, it is recommended to use mTLS to secure all communication links and access the service via HTTPS. Please check mTLS Configuration for details.\n To demonstrate SecretFlow-Serving, we conducted the following simplified operations: \nBoth parties of Secretflow-Serving use mock feature source to produce random feature values.\nThe model files in the examples directory are loaded by Alice and Bob’s Secretflow-Serving respectively。\nThe SecretFlow-Serving in this example provides services through the HTTP protocol. However, for a production environment, it is recommended to use mTLS to secure all communication links and access the service via HTTPS. Please check mTLS Configuration for details.\n Both parties of Secretflow-Serving use mock feature source to produce random feature values. The model files in the examples directory are loaded by Alice and Bob’s Secretflow-Serving respectively。 Alice Bob The SecretFlow-Serving in this example provides services through the HTTP protocol. However, for a production environment, it is recommended to use mTLS to secure all communication links and access the service via HTTPS. Please check mTLS Configuration for details. HTTP mTLS HTTPS mTLS Configuration mTLS Configuration  Now, the Alice’s SecretFlow-Serving is listening on http://localhost:9010, the Bob’s SecretFlow-Serving is listening on http://localhost:9011, you could send predict request to it via curl or other http tools. Alice http://localhost:9010 Bob http://localhost:9011 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