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 { StartImportLabelsTaskRunRequest, StartImportLabelsTaskRunResponse } from "../models/models_2";
/**
 * @public
 */
export type { __MetadataBearer };
export { $Command };
/**
 * @public
 *
 * The input for {@link StartImportLabelsTaskRunCommand}.
 */
export interface StartImportLabelsTaskRunCommandInput extends StartImportLabelsTaskRunRequest {
}
/**
 * @public
 *
 * The output of {@link StartImportLabelsTaskRunCommand}.
 */
export interface StartImportLabelsTaskRunCommandOutput extends StartImportLabelsTaskRunResponse, __MetadataBearer {
}
declare const StartImportLabelsTaskRunCommand_base: {
    new (input: StartImportLabelsTaskRunCommandInput): import("@smithy/core/client").CommandImpl<StartImportLabelsTaskRunCommandInput, StartImportLabelsTaskRunCommandOutput, GlueClientResolvedConfig, ServiceInputTypes, ServiceOutputTypes>;
    new (input: StartImportLabelsTaskRunCommandInput): import("@smithy/core/client").CommandImpl<StartImportLabelsTaskRunCommandInput, StartImportLabelsTaskRunCommandOutput, GlueClientResolvedConfig, ServiceInputTypes, ServiceOutputTypes>;
    getEndpointParameterInstructions(): {
        [x: string]: unknown;
    };
};
/**
 * <p>Enables you to provide additional labels (examples of truth) to be used to teach the
 *       machine learning transform and improve its quality. This API operation is generally used as
 *       part of the active learning workflow that starts with the
 *         <code>StartMLLabelingSetGenerationTaskRun</code> call and that ultimately results in
 *       improving the quality of your machine learning transform. </p>
 *          <p>After the <code>StartMLLabelingSetGenerationTaskRun</code> finishes, Glue machine learning
 *       will have generated a series of questions for humans to answer. (Answering these questions is
 *       often called 'labeling' in the machine learning workflows). In the case of the
 *         <code>FindMatches</code> transform, these questions are of the form, “What is the correct
 *       way to group these rows together into groups composed entirely of matching records?” After the
 *       labeling process is finished, users upload their answers/labels with a call to
 *         <code>StartImportLabelsTaskRun</code>. After <code>StartImportLabelsTaskRun</code> finishes,
 *       all future runs of the machine learning transform use the new and improved labels and perform
 *       a higher-quality transformation.</p>
 *          <p>By default, <code>StartMLLabelingSetGenerationTaskRun</code> continually learns from and
 *       combines all labels that you upload unless you set <code>Replace</code> to true. If you set
 *         <code>Replace</code> to true, <code>StartImportLabelsTaskRun</code> deletes and forgets all
 *       previously uploaded labels and learns only from the exact set that you upload. Replacing
 *       labels can be helpful if you realize that you previously uploaded incorrect labels, and you
 *       believe that they are having a negative effect on your transform quality.</p>
 *          <p>You can check on the status of your task run by calling the <code>GetMLTaskRun</code>
 *       operation. </p>
 * @example
 * Use a bare-bones client and the command you need to make an API call.
 * ```javascript
 * import { GlueClient, StartImportLabelsTaskRunCommand } from "@aws-sdk/client-glue"; // ES Modules import
 * // const { GlueClient, StartImportLabelsTaskRunCommand } = 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 = { // StartImportLabelsTaskRunRequest
 *   TransformId: "STRING_VALUE", // required
 *   InputS3Path: "STRING_VALUE", // required
 *   ReplaceAllLabels: true || false,
 * };
 * const command = new StartImportLabelsTaskRunCommand(input);
 * const response = await client.send(command);
 * // { // StartImportLabelsTaskRunResponse
 * //   TaskRunId: "STRING_VALUE",
 * // };
 *
 * ```
 *
 * @param StartImportLabelsTaskRunCommandInput - {@link StartImportLabelsTaskRunCommandInput}
 * @returns {@link StartImportLabelsTaskRunCommandOutput}
 * @see {@link StartImportLabelsTaskRunCommandInput} for command's `input` shape.
 * @see {@link StartImportLabelsTaskRunCommandOutput} 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 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 StartImportLabelsTaskRunCommand extends StartImportLabelsTaskRunCommand_base {
    /** @internal type navigation helper, not in runtime. */
    protected static __types: {
        api: {
            input: StartImportLabelsTaskRunRequest;
            output: StartImportLabelsTaskRunResponse;
        };
        sdk: {
            input: StartImportLabelsTaskRunCommandInput;
            output: StartImportLabelsTaskRunCommandOutput;
        };
    };
}