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 { CreateMLTransformRequest, CreateMLTransformResponse } from "../models/models_1";
/**
 * @public
 */
export type { __MetadataBearer };
export { $Command };
/**
 * @public
 *
 * The input for {@link CreateMLTransformCommand}.
 */
export interface CreateMLTransformCommandInput extends CreateMLTransformRequest {
}
/**
 * @public
 *
 * The output of {@link CreateMLTransformCommand}.
 */
export interface CreateMLTransformCommandOutput extends CreateMLTransformResponse, __MetadataBearer {
}
declare const CreateMLTransformCommand_base: {
    new (input: CreateMLTransformCommandInput): import("@smithy/core/client").CommandImpl<CreateMLTransformCommandInput, CreateMLTransformCommandOutput, GlueClientResolvedConfig, ServiceInputTypes, ServiceOutputTypes>;
    new (input: CreateMLTransformCommandInput): import("@smithy/core/client").CommandImpl<CreateMLTransformCommandInput, CreateMLTransformCommandOutput, GlueClientResolvedConfig, ServiceInputTypes, ServiceOutputTypes>;
    getEndpointParameterInstructions(): {
        [x: string]: unknown;
    };
};
/**
 * <p>Creates an Glue machine learning transform. This operation creates the transform and
 *       all the necessary parameters to train it.</p>
 *          <p>Call this operation as the first step in the process of using a machine learning transform
 *       (such as the <code>FindMatches</code> transform) for deduplicating data. You can provide an
 *       optional <code>Description</code>, in addition to the parameters that you want to use for your
 *       algorithm.</p>
 *          <p>You must also specify certain parameters for the tasks that Glue runs on your
 *       behalf as part of learning from your data and creating a high-quality machine learning
 *       transform. These parameters include <code>Role</code>, and optionally,
 *         <code>AllocatedCapacity</code>, <code>Timeout</code>, and <code>MaxRetries</code>. For more
 *       information, see <a href="https://docs.aws.amazon.com/glue/latest/dg/aws-glue-api-jobs-job.html">Jobs</a>.</p>
 * @example
 * Use a bare-bones client and the command you need to make an API call.
 * ```javascript
 * import { GlueClient, CreateMLTransformCommand } from "@aws-sdk/client-glue"; // ES Modules import
 * // const { GlueClient, CreateMLTransformCommand } = 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 = { // CreateMLTransformRequest
 *   Name: "STRING_VALUE", // required
 *   Description: "STRING_VALUE",
 *   InputRecordTables: [ // GlueTables // required
 *     { // 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,
 *     },
 *   },
 *   Role: "STRING_VALUE", // required
 *   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"),
 *   Tags: { // TagsMap
 *     "<keys>": "STRING_VALUE",
 *   },
 *   TransformEncryption: { // TransformEncryption
 *     MlUserDataEncryption: { // MLUserDataEncryption
 *       MlUserDataEncryptionMode: "DISABLED" || "SSE-KMS", // required
 *       KmsKeyId: "STRING_VALUE",
 *     },
 *     TaskRunSecurityConfigurationName: "STRING_VALUE",
 *   },
 * };
 * const command = new CreateMLTransformCommand(input);
 * const response = await client.send(command);
 * // { // CreateMLTransformResponse
 * //   TransformId: "STRING_VALUE",
 * // };
 *
 * ```
 *
 * @param CreateMLTransformCommandInput - {@link CreateMLTransformCommandInput}
 * @returns {@link CreateMLTransformCommandOutput}
 * @see {@link CreateMLTransformCommandInput} for command's `input` shape.
 * @see {@link CreateMLTransformCommandOutput} for command's `response` shape.
 * @see {@link GlueClientResolvedConfig | config} for GlueClient's `config` shape.
 *
 * @throws {@link AccessDeniedException} (client fault)
 *  <p>Access to a resource was denied.</p>
 *
 * @throws {@link AlreadyExistsException} (client fault)
 *  <p>A resource to be created or added already exists.</p>
 *
 * @throws {@link IdempotentParameterMismatchException} (client fault)
 *  <p>The same unique identifier was associated with two different records.</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 ResourceNumberLimitExceededException} (client fault)
 *  <p>A resource numerical limit was exceeded.</p>
 *
 * @throws {@link GlueServiceException}
 * <p>Base exception class for all service exceptions from Glue service.</p>
 *
 *
 * @public
 */
export declare class CreateMLTransformCommand extends CreateMLTransformCommand_base {
    /** @internal type navigation helper, not in runtime. */
    protected static __types: {
        api: {
            input: CreateMLTransformRequest;
            output: CreateMLTransformResponse;
        };
        sdk: {
            input: CreateMLTransformCommandInput;
            output: CreateMLTransformCommandOutput;
        };
    };
}