import { Command as $Command } from "@smithy/smithy-client"; import { MetadataBearer as __MetadataBearer } from "@smithy/types"; import { StartPipelineExecutionRequest, StartPipelineExecutionResponse } from "../models/models_5"; import { SageMakerClientResolvedConfig, ServiceInputTypes, ServiceOutputTypes } from "../SageMakerClient"; /** * @public */ export type { __MetadataBearer }; export { $Command }; /** * @public * * The input for {@link StartPipelineExecutionCommand}. */ export interface StartPipelineExecutionCommandInput extends StartPipelineExecutionRequest { } /** * @public * * The output of {@link StartPipelineExecutionCommand}. */ export interface StartPipelineExecutionCommandOutput extends StartPipelineExecutionResponse, __MetadataBearer { } declare const StartPipelineExecutionCommand_base: { new (input: StartPipelineExecutionCommandInput): import("@smithy/smithy-client").CommandImpl; new (input: StartPipelineExecutionCommandInput): import("@smithy/smithy-client").CommandImpl; getEndpointParameterInstructions(): import("@smithy/middleware-endpoint").EndpointParameterInstructions; }; /** *

Starts a pipeline execution.

* @example * Use a bare-bones client and the command you need to make an API call. * ```javascript * import { SageMakerClient, StartPipelineExecutionCommand } from "@aws-sdk/client-sagemaker"; // ES Modules import * // const { SageMakerClient, StartPipelineExecutionCommand } = require("@aws-sdk/client-sagemaker"); // CommonJS import * const client = new SageMakerClient(config); * const input = { // StartPipelineExecutionRequest * PipelineName: "STRING_VALUE", // required * PipelineExecutionDisplayName: "STRING_VALUE", * PipelineParameters: [ // ParameterList * { // Parameter * Name: "STRING_VALUE", // required * Value: "STRING_VALUE", // required * }, * ], * PipelineExecutionDescription: "STRING_VALUE", * ClientRequestToken: "STRING_VALUE", // required * ParallelismConfiguration: { // ParallelismConfiguration * MaxParallelExecutionSteps: Number("int"), // required * }, * SelectiveExecutionConfig: { // SelectiveExecutionConfig * SourcePipelineExecutionArn: "STRING_VALUE", * SelectedSteps: [ // SelectedStepList // required * { // SelectedStep * StepName: "STRING_VALUE", // required * }, * ], * }, * PipelineVersionId: Number("long"), * }; * const command = new StartPipelineExecutionCommand(input); * const response = await client.send(command); * // { // StartPipelineExecutionResponse * // PipelineExecutionArn: "STRING_VALUE", * // }; * * ``` * * @param StartPipelineExecutionCommandInput - {@link StartPipelineExecutionCommandInput} * @returns {@link StartPipelineExecutionCommandOutput} * @see {@link StartPipelineExecutionCommandInput} for command's `input` shape. * @see {@link StartPipelineExecutionCommandOutput} for command's `response` shape. * @see {@link SageMakerClientResolvedConfig | config} for SageMakerClient's `config` shape. * * @throws {@link ConflictException} (client fault) *

There was a conflict when you attempted to modify a SageMaker entity such as an Experiment or Artifact.

* * @throws {@link ResourceLimitExceeded} (client fault) *

You have exceeded an SageMaker resource limit. For example, you might have too many training jobs created.

* * @throws {@link ResourceNotFound} (client fault) *

Resource being access is not found.

* * @throws {@link SageMakerServiceException} *

Base exception class for all service exceptions from SageMaker service.

* * * @public */ export declare class StartPipelineExecutionCommand extends StartPipelineExecutionCommand_base { /** @internal type navigation helper, not in runtime. */ protected static __types: { api: { input: StartPipelineExecutionRequest; output: StartPipelineExecutionResponse; }; sdk: { input: StartPipelineExecutionCommandInput; output: StartPipelineExecutionCommandOutput; }; }; }