import type { MetadataBearer as __MetadataBearer } from "@smithy/types";
import type { DescribeBatchPredictionsInput, DescribeBatchPredictionsOutput } from "../models/models_0";
/**
 * @public
 */
export type { __MetadataBearer };
/**
 * @public
 *
 * The input for {@link DescribeBatchPredictionsCommand}.
 */
export interface DescribeBatchPredictionsCommandInput extends DescribeBatchPredictionsInput {
}
/**
 * @public
 *
 * The output of {@link DescribeBatchPredictionsCommand}.
 */
export interface DescribeBatchPredictionsCommandOutput extends DescribeBatchPredictionsOutput, __MetadataBearer {
}
declare const DescribeBatchPredictionsCommand_base: {
    new (input: DescribeBatchPredictionsCommandInput): import("@smithy/core/client").CommandImpl<DescribeBatchPredictionsCommandInput, DescribeBatchPredictionsCommandOutput, import("..").MachineLearningClientResolvedConfig, import("..").ServiceInputTypes, import("..").ServiceOutputTypes>;
    new (...[input]: [] | [DescribeBatchPredictionsCommandInput]): import("@smithy/core/client").CommandImpl<DescribeBatchPredictionsCommandInput, DescribeBatchPredictionsCommandOutput, import("..").MachineLearningClientResolvedConfig, import("..").ServiceInputTypes, import("..").ServiceOutputTypes>;
    getEndpointParameterInstructions(): import("@smithy/types").EndpointParameterInstructions;
};
/**
 * <p>Returns a list of <code>BatchPrediction</code> operations that match the search criteria in the request.</p>
 * @example
 * Use a bare-bones client and the command you need to make an API call.
 * ```javascript
 * import { MachineLearningClient, DescribeBatchPredictionsCommand } from "@aws-sdk/client-machine-learning"; // ES Modules import
 * // const { MachineLearningClient, DescribeBatchPredictionsCommand } = require("@aws-sdk/client-machine-learning"); // CommonJS import
 * // import type { MachineLearningClientConfig } from "@aws-sdk/client-machine-learning";
 * const config = {}; // type is MachineLearningClientConfig
 * const client = new MachineLearningClient(config);
 * const input = { // DescribeBatchPredictionsInput
 *   FilterVariable: "CreatedAt" || "LastUpdatedAt" || "Status" || "Name" || "IAMUser" || "MLModelId" || "DataSourceId" || "DataURI",
 *   EQ: "STRING_VALUE",
 *   GT: "STRING_VALUE",
 *   LT: "STRING_VALUE",
 *   GE: "STRING_VALUE",
 *   LE: "STRING_VALUE",
 *   NE: "STRING_VALUE",
 *   Prefix: "STRING_VALUE",
 *   SortOrder: "asc" || "dsc",
 *   NextToken: "STRING_VALUE",
 *   Limit: Number("int"),
 * };
 * const command = new DescribeBatchPredictionsCommand(input);
 * const response = await client.send(command);
 * // { // DescribeBatchPredictionsOutput
 * //   Results: [ // BatchPredictions
 * //     { // BatchPrediction
 * //       BatchPredictionId: "STRING_VALUE",
 * //       MLModelId: "STRING_VALUE",
 * //       BatchPredictionDataSourceId: "STRING_VALUE",
 * //       InputDataLocationS3: "STRING_VALUE",
 * //       CreatedByIamUser: "STRING_VALUE",
 * //       CreatedAt: new Date("TIMESTAMP"),
 * //       LastUpdatedAt: new Date("TIMESTAMP"),
 * //       Name: "STRING_VALUE",
 * //       Status: "PENDING" || "INPROGRESS" || "FAILED" || "COMPLETED" || "DELETED",
 * //       OutputUri: "STRING_VALUE",
 * //       Message: "STRING_VALUE",
 * //       ComputeTime: Number("long"),
 * //       FinishedAt: new Date("TIMESTAMP"),
 * //       StartedAt: new Date("TIMESTAMP"),
 * //       TotalRecordCount: Number("long"),
 * //       InvalidRecordCount: Number("long"),
 * //     },
 * //   ],
 * //   NextToken: "STRING_VALUE",
 * // };
 *
 * ```
 *
 * @param DescribeBatchPredictionsCommandInput - {@link DescribeBatchPredictionsCommandInput}
 * @returns {@link DescribeBatchPredictionsCommandOutput}
 * @see {@link DescribeBatchPredictionsCommandInput} for command's `input` shape.
 * @see {@link DescribeBatchPredictionsCommandOutput} for command's `response` shape.
 * @see {@link MachineLearningClientResolvedConfig | config} for MachineLearningClient's `config` shape.
 *
 * @throws {@link InternalServerException} (server fault)
 *  <p>An error on the server occurred when trying to process a request.</p>
 *
 * @throws {@link InvalidInputException} (client fault)
 *  <p>An error on the client occurred. Typically, the cause is an invalid input value.</p>
 *
 * @throws {@link MachineLearningServiceException}
 * <p>Base exception class for all service exceptions from MachineLearning service.</p>
 *
 *
 * @public
 */
export declare class DescribeBatchPredictionsCommand extends DescribeBatchPredictionsCommand_base {
    /** @internal type navigation helper, not in runtime. */
    protected static __types: {
        api: {
            input: DescribeBatchPredictionsInput;
            output: DescribeBatchPredictionsOutput;
        };
        sdk: {
            input: DescribeBatchPredictionsCommandInput;
            output: DescribeBatchPredictionsCommandOutput;
        };
    };
}