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 { UpdateMLTransformRequest, UpdateMLTransformResponse } from "../models/models_3"; /** * @public */ export type { __MetadataBearer }; export { $Command }; /** * @public * * The input for {@link UpdateMLTransformCommand}. */ export interface UpdateMLTransformCommandInput extends UpdateMLTransformRequest { } /** * @public * * The output of {@link UpdateMLTransformCommand}. */ export interface UpdateMLTransformCommandOutput extends UpdateMLTransformResponse, __MetadataBearer { } declare const UpdateMLTransformCommand_base: { new (input: UpdateMLTransformCommandInput): import("@smithy/core/client").CommandImpl; new (input: UpdateMLTransformCommandInput): import("@smithy/core/client").CommandImpl; getEndpointParameterInstructions(): { [x: string]: unknown; }; }; /** *

Updates an existing machine learning transform. Call this operation to tune the algorithm parameters to achieve better results.

*

After calling this operation, you can call the StartMLEvaluationTaskRun * operation to assess how well your new parameters achieved your goals (such as improving the * quality of your machine learning transform, or making it more cost-effective).

* @example * Use a bare-bones client and the command you need to make an API call. * ```javascript * import { GlueClient, UpdateMLTransformCommand } from "@aws-sdk/client-glue"; // ES Modules import * // const { GlueClient, UpdateMLTransformCommand } = 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 = { // UpdateMLTransformRequest * TransformId: "STRING_VALUE", // required * Name: "STRING_VALUE", * Description: "STRING_VALUE", * Parameters: { // TransformParameters * TransformType: "FIND_MATCHES", // required * FindMatchesParameters: { // FindMatchesParameters * PrimaryKeyColumnName: "STRING_VALUE", * PrecisionRecallTradeoff: Number("double"), * AccuracyCostTradeoff: Number("double"), * EnforceProvidedLabels: true || false, * }, * }, * 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"), * }; * const command = new UpdateMLTransformCommand(input); * const response = await client.send(command); * // { // UpdateMLTransformResponse * // TransformId: "STRING_VALUE", * // }; * * ``` * * @param UpdateMLTransformCommandInput - {@link UpdateMLTransformCommandInput} * @returns {@link UpdateMLTransformCommandOutput} * @see {@link UpdateMLTransformCommandInput} for command's `input` shape. * @see {@link UpdateMLTransformCommandOutput} for command's `response` shape. * @see {@link GlueClientResolvedConfig | config} for GlueClient's `config` shape. * * @throws {@link AccessDeniedException} (client fault) *

Access to a resource was denied.

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

A specified entity does not exist

* * @throws {@link InternalServiceException} (server fault) *

An internal service error occurred.

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

The input provided was not valid.

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

The operation timed out.

* * @throws {@link GlueServiceException} *

Base exception class for all service exceptions from Glue service.

* * * @public */ export declare class UpdateMLTransformCommand extends UpdateMLTransformCommand_base { /** @internal type navigation helper, not in runtime. */ protected static __types: { api: { input: UpdateMLTransformRequest; output: UpdateMLTransformResponse; }; sdk: { input: UpdateMLTransformCommandInput; output: UpdateMLTransformCommandOutput; }; }; }