import { Command as $Command } from "@smithy/core/client";
import type { MetadataBearer as __MetadataBearer } from "@smithy/types";
import type { GlueClientResolvedConfig, ServiceInputTypes, ServiceOutputTypes } from "../GlueClient";
import type { GetMLTransformRequest, GetMLTransformResponse } from "../models/models_2";
/**
 * @public
 */
export type { __MetadataBearer };
export { $Command };
/**
 * @public
 *
 * The input for {@link GetMLTransformCommand}.
 */
export interface GetMLTransformCommandInput extends GetMLTransformRequest {
}
/**
 * @public
 *
 * The output of {@link GetMLTransformCommand}.
 */
export interface GetMLTransformCommandOutput extends GetMLTransformResponse, __MetadataBearer {
}
declare const GetMLTransformCommand_base: {
    new (input: GetMLTransformCommandInput): import("@smithy/core/client").CommandImpl<GetMLTransformCommandInput, GetMLTransformCommandOutput, GlueClientResolvedConfig, ServiceInputTypes, ServiceOutputTypes>;
    new (input: GetMLTransformCommandInput): import("@smithy/core/client").CommandImpl<GetMLTransformCommandInput, GetMLTransformCommandOutput, GlueClientResolvedConfig, ServiceInputTypes, ServiceOutputTypes>;
    getEndpointParameterInstructions(): {
        [x: string]: unknown;
    };
};
/**
 * <p>Gets an Glue machine learning transform artifact and all its corresponding metadata.
 *       Machine learning transforms are a special type of transform that use machine learning to learn
 *       the details of the transformation to be performed by learning from examples provided by
 *       humans. These transformations are then saved by Glue. You can retrieve their metadata by
 *       calling <code>GetMLTransform</code>.</p>
 * @example
 * Use a bare-bones client and the command you need to make an API call.
 * ```javascript
 * import { GlueClient, GetMLTransformCommand } from "@aws-sdk/client-glue"; // ES Modules import
 * // const { GlueClient, GetMLTransformCommand } = require("@aws-sdk/client-glue"); // CommonJS import
 * // import type { GlueClientConfig } from "@aws-sdk/client-glue";
 * const config = {}; // type is GlueClientConfig
 * const client = new GlueClient(config);
 * const input = { // GetMLTransformRequest
 *   TransformId: "STRING_VALUE", // required
 * };
 * const command = new GetMLTransformCommand(input);
 * const response = await client.send(command);
 * // { // GetMLTransformResponse
 * //   TransformId: "STRING_VALUE",
 * //   Name: "STRING_VALUE",
 * //   Description: "STRING_VALUE",
 * //   Status: "NOT_READY" || "READY" || "DELETING",
 * //   CreatedOn: new Date("TIMESTAMP"),
 * //   LastModifiedOn: new Date("TIMESTAMP"),
 * //   InputRecordTables: [ // GlueTables
 * //     { // GlueTable
 * //       DatabaseName: "STRING_VALUE", // required
 * //       TableName: "STRING_VALUE", // required
 * //       CatalogId: "STRING_VALUE",
 * //       ConnectionName: "STRING_VALUE",
 * //       AdditionalOptions: { // GlueTableAdditionalOptions
 * //         "<keys>": "STRING_VALUE",
 * //       },
 * //     },
 * //   ],
 * //   Parameters: { // TransformParameters
 * //     TransformType: "FIND_MATCHES", // required
 * //     FindMatchesParameters: { // FindMatchesParameters
 * //       PrimaryKeyColumnName: "STRING_VALUE",
 * //       PrecisionRecallTradeoff: Number("double"),
 * //       AccuracyCostTradeoff: Number("double"),
 * //       EnforceProvidedLabels: true || false,
 * //     },
 * //   },
 * //   EvaluationMetrics: { // EvaluationMetrics
 * //     TransformType: "FIND_MATCHES", // required
 * //     FindMatchesMetrics: { // FindMatchesMetrics
 * //       AreaUnderPRCurve: Number("double"),
 * //       Precision: Number("double"),
 * //       Recall: Number("double"),
 * //       F1: Number("double"),
 * //       ConfusionMatrix: { // ConfusionMatrix
 * //         NumTruePositives: Number("long"),
 * //         NumFalsePositives: Number("long"),
 * //         NumTrueNegatives: Number("long"),
 * //         NumFalseNegatives: Number("long"),
 * //       },
 * //       ColumnImportances: [ // ColumnImportanceList
 * //         { // ColumnImportance
 * //           ColumnName: "STRING_VALUE",
 * //           Importance: Number("double"),
 * //         },
 * //       ],
 * //     },
 * //   },
 * //   LabelCount: Number("int"),
 * //   Schema: [ // TransformSchema
 * //     { // SchemaColumn
 * //       Name: "STRING_VALUE",
 * //       DataType: "STRING_VALUE",
 * //     },
 * //   ],
 * //   Role: "STRING_VALUE",
 * //   GlueVersion: "STRING_VALUE",
 * //   MaxCapacity: Number("double"),
 * //   WorkerType: "Standard" || "G.1X" || "G.2X" || "G.025X" || "G.4X" || "G.8X" || "Z.2X",
 * //   NumberOfWorkers: Number("int"),
 * //   Timeout: Number("int"),
 * //   MaxRetries: Number("int"),
 * //   TransformEncryption: { // TransformEncryption
 * //     MlUserDataEncryption: { // MLUserDataEncryption
 * //       MlUserDataEncryptionMode: "DISABLED" || "SSE-KMS", // required
 * //       KmsKeyId: "STRING_VALUE",
 * //     },
 * //     TaskRunSecurityConfigurationName: "STRING_VALUE",
 * //   },
 * // };
 *
 * ```
 *
 * @param GetMLTransformCommandInput - {@link GetMLTransformCommandInput}
 * @returns {@link GetMLTransformCommandOutput}
 * @see {@link GetMLTransformCommandInput} for command's `input` shape.
 * @see {@link GetMLTransformCommandOutput} for command's `response` shape.
 * @see {@link GlueClientResolvedConfig | config} for GlueClient's `config` shape.
 *
 * @throws {@link EntityNotFoundException} (client fault)
 *  <p>A specified entity does not exist</p>
 *
 * @throws {@link InternalServiceException} (server fault)
 *  <p>An internal service error occurred.</p>
 *
 * @throws {@link InvalidInputException} (client fault)
 *  <p>The input provided was not valid.</p>
 *
 * @throws {@link OperationTimeoutException} (client fault)
 *  <p>The operation timed out.</p>
 *
 * @throws {@link GlueServiceException}
 * <p>Base exception class for all service exceptions from Glue service.</p>
 *
 *
 * @public
 */
export declare class GetMLTransformCommand extends GetMLTransformCommand_base {
    /** @internal type navigation helper, not in runtime. */
    protected static __types: {
        api: {
            input: GetMLTransformRequest;
            output: GetMLTransformResponse;
        };
        sdk: {
            input: GetMLTransformCommandInput;
            output: GetMLTransformCommandOutput;
        };
    };
}