import type { MetadataBearer as __MetadataBearer } from "@smithy/types";
import type { CreateDatasetImportJobRequest, CreateDatasetImportJobResponse } from "../models/models_0";
/**
 * @public
 */
export type { __MetadataBearer };
/**
 * @public
 *
 * The input for {@link CreateDatasetImportJobCommand}.
 */
export interface CreateDatasetImportJobCommandInput extends CreateDatasetImportJobRequest {
}
/**
 * @public
 *
 * The output of {@link CreateDatasetImportJobCommand}.
 */
export interface CreateDatasetImportJobCommandOutput extends CreateDatasetImportJobResponse, __MetadataBearer {
}
declare const CreateDatasetImportJobCommand_base: {
    new (input: CreateDatasetImportJobCommandInput): import("@smithy/core/client").CommandImpl<CreateDatasetImportJobCommandInput, CreateDatasetImportJobCommandOutput, import("..").ForecastClientResolvedConfig, import("..").ServiceInputTypes, import("..").ServiceOutputTypes>;
    new (input: CreateDatasetImportJobCommandInput): import("@smithy/core/client").CommandImpl<CreateDatasetImportJobCommandInput, CreateDatasetImportJobCommandOutput, import("..").ForecastClientResolvedConfig, import("..").ServiceInputTypes, import("..").ServiceOutputTypes>;
    getEndpointParameterInstructions(): import("@smithy/types").EndpointParameterInstructions;
};
/**
 * <p>Imports your training data to an Amazon Forecast dataset. You provide the location of your
 *       training data in an Amazon Simple Storage Service (Amazon S3) bucket and the Amazon Resource Name (ARN) of the dataset
 *       that you want to import the data to.</p>
 *          <p>You must specify a <a href="https://docs.aws.amazon.com/forecast/latest/dg/API_DataSource.html">DataSource</a> object that includes an
 *       Identity and Access Management (IAM) role that Amazon Forecast can assume to access the data, as Amazon Forecast makes a copy
 *       of your data and processes it in an internal Amazon Web Services system. For more information, see <a href="https://docs.aws.amazon.com/forecast/latest/dg/aws-forecast-iam-roles.html">Set up
 *         permissions</a>.</p>
 *          <p>The training data must be in CSV or Parquet format. The delimiter must be a comma (,).</p>
 *          <p>You can specify the path to a specific file, the S3 bucket, or to a folder in the S3
 *       bucket. For the latter two cases, Amazon Forecast imports all files up to the limit of 10,000
 *       files.</p>
 *          <p>Because dataset imports are not aggregated, your most recent dataset import is the one
 *       that is used when training a predictor or generating a forecast. Make sure that your most
 *       recent dataset import contains all of the data you want to model off of, and not just the new
 *       data collected since the previous import.</p>
 *          <p>To get a list of all your dataset import jobs, filtered by specified criteria, use the
 *         <a href="https://docs.aws.amazon.com/forecast/latest/dg/API_ListDatasetImportJobs.html">ListDatasetImportJobs</a> operation.</p>
 * @example
 * Use a bare-bones client and the command you need to make an API call.
 * ```javascript
 * import { ForecastClient, CreateDatasetImportJobCommand } from "@aws-sdk/client-forecast"; // ES Modules import
 * // const { ForecastClient, CreateDatasetImportJobCommand } = require("@aws-sdk/client-forecast"); // CommonJS import
 * // import type { ForecastClientConfig } from "@aws-sdk/client-forecast";
 * const config = {}; // type is ForecastClientConfig
 * const client = new ForecastClient(config);
 * const input = { // CreateDatasetImportJobRequest
 *   DatasetImportJobName: "STRING_VALUE", // required
 *   DatasetArn: "STRING_VALUE", // required
 *   DataSource: { // DataSource
 *     S3Config: { // S3Config
 *       Path: "STRING_VALUE", // required
 *       RoleArn: "STRING_VALUE", // required
 *       KMSKeyArn: "STRING_VALUE",
 *     },
 *   },
 *   TimestampFormat: "STRING_VALUE",
 *   TimeZone: "STRING_VALUE",
 *   UseGeolocationForTimeZone: true || false,
 *   GeolocationFormat: "STRING_VALUE",
 *   Tags: [ // Tags
 *     { // Tag
 *       Key: "STRING_VALUE", // required
 *       Value: "STRING_VALUE", // required
 *     },
 *   ],
 *   Format: "STRING_VALUE",
 *   ImportMode: "FULL" || "INCREMENTAL",
 * };
 * const command = new CreateDatasetImportJobCommand(input);
 * const response = await client.send(command);
 * // { // CreateDatasetImportJobResponse
 * //   DatasetImportJobArn: "STRING_VALUE",
 * // };
 *
 * ```
 *
 * @param CreateDatasetImportJobCommandInput - {@link CreateDatasetImportJobCommandInput}
 * @returns {@link CreateDatasetImportJobCommandOutput}
 * @see {@link CreateDatasetImportJobCommandInput} for command's `input` shape.
 * @see {@link CreateDatasetImportJobCommandOutput} for command's `response` shape.
 * @see {@link ForecastClientResolvedConfig | config} for ForecastClient's `config` shape.
 *
 * @throws {@link InvalidInputException} (client fault)
 *  <p>We can't process the request because it includes an invalid value or a value that exceeds
 *       the valid range.</p>
 *
 * @throws {@link LimitExceededException} (client fault)
 *  <p>The limit on the number of resources per account has been exceeded.</p>
 *
 * @throws {@link ResourceAlreadyExistsException} (client fault)
 *  <p>There is already a resource with this name. Try again with a different name.</p>
 *
 * @throws {@link ResourceInUseException} (client fault)
 *  <p>The specified resource is in use.</p>
 *
 * @throws {@link ResourceNotFoundException} (client fault)
 *  <p>We can't find a resource with that Amazon Resource Name (ARN). Check the ARN and try
 *       again.</p>
 *
 * @throws {@link ForecastServiceException}
 * <p>Base exception class for all service exceptions from Forecast service.</p>
 *
 *
 * @public
 */
export declare class CreateDatasetImportJobCommand extends CreateDatasetImportJobCommand_base {
    /** @internal type navigation helper, not in runtime. */
    protected static __types: {
        api: {
            input: CreateDatasetImportJobRequest;
            output: CreateDatasetImportJobResponse;
        };
        sdk: {
            input: CreateDatasetImportJobCommandInput;
            output: CreateDatasetImportJobCommandOutput;
        };
    };
}