import * as pulumi from "@pulumi/pulumi";
import * as inputs from "../types/input";
import * as outputs from "../types/output";
/**
 * Manages an AWS SageMaker AI Hyper Parameter Tuning Job.
 *
 * > **NOTE:** This resource does not wait for the tuning job to complete before returning. Terraform may complete apply before the job reaches a terminal state.
 *
 * ## Example Usage
 *
 * ### Basic Usage
 *
 * ```typescript
 * import * as pulumi from "@pulumi/pulumi";
 * import * as aws from "@pulumi/aws";
 *
 * const example = new aws.sagemaker.HyperParameterTuningJob("example", {
 *     config: {
 *         objective: {
 *             metricName: "test:msd",
 *             type: "Minimize",
 *         },
 *         parameterRanges: {
 *             categoricalParameterRanges: [{
 *                 name: "init_method",
 *                 values: [
 *                     "kmeans++",
 *                     "random",
 *                 ],
 *             }],
 *             integerParameterRanges: [
 *                 {
 *                     name: "epochs",
 *                     minValue: "1",
 *                     maxValue: "10",
 *                     scalingType: "Auto",
 *                 },
 *                 {
 *                     name: "extra_center_factor",
 *                     minValue: "4",
 *                     maxValue: "10",
 *                     scalingType: "Auto",
 *                 },
 *                 {
 *                     name: "mini_batch_size",
 *                     minValue: "3000",
 *                     maxValue: "15000",
 *                     scalingType: "Auto",
 *                 },
 *             ],
 *         },
 *         resourceLimits: {
 *             maxNumberOfTrainingJobs: 2,
 *             maxParallelTrainingJobs: 1,
 *         },
 *         strategy: "Bayesian",
 *     },
 *     trainingJobDefinition: {
 *         algorithmSpecification: {
 *             trainingImage: "174872318107.dkr.ecr.us-west-2.amazonaws.com/kmeans:1",
 *             trainingInputMode: "File",
 *         },
 *         outputDataConfig: {
 *             s3OutputPath: "s3://example-bucket/output/",
 *         },
 *         resourceConfig: {
 *             instanceCount: 1,
 *             instanceType: "ml.m5.large",
 *             volumeSizeInGb: 30,
 *         },
 *         stoppingCondition: {
 *             maxRuntimeInSeconds: 3600,
 *         },
 *         inputDataConfigs: [
 *             {
 *                 dataSource: {
 *                     s3DataSource: {
 *                         s3DataType: "S3Prefix",
 *                         s3Uri: "s3://example-bucket/input/",
 *                     },
 *                 },
 *                 channelName: "train",
 *                 contentType: "text/csv",
 *                 inputMode: "File",
 *             },
 *             {
 *                 dataSource: {
 *                     s3DataSource: {
 *                         s3DataType: "S3Prefix",
 *                         s3Uri: "s3://example-bucket/input/",
 *                     },
 *                 },
 *                 channelName: "test",
 *                 contentType: "text/csv",
 *                 inputMode: "File",
 *             },
 *         ],
 *         roleArn: "arn:aws:iam::123456789012:role/example-sagemaker-execution-role",
 *         staticHyperParameters: {
 *             feature_dim: "3",
 *             k: "2",
 *         },
 *     },
 *     name: "example",
 * });
 * ```
 *
 * ## Import
 *
 * ### Identity Schema
 *
 * #### Required
 *
 * * `name` (String) Name of the Hyper Parameter Tuning Job.
 *
 * #### Optional
 *
 * * `accountId` (String) AWS Account where this resource is managed.
 * * `region` (String) Region where this resource is managed.
 *
 * Using `pulumi import`, import SageMaker AI Hyper Parameter Tuning Jobs using `name`. For example:
 *
 * ```sh
 * $ pulumi import aws:sagemaker/hyperParameterTuningJob:HyperParameterTuningJob example example-hyper-parameter-tuning-job
 * ```
 */
export declare class HyperParameterTuningJob extends pulumi.CustomResource {
    /**
     * Get an existing HyperParameterTuningJob resource's state with the given name, ID, and optional extra
     * properties used to qualify the lookup.
     *
     * @param name The _unique_ name of the resulting resource.
     * @param id The _unique_ provider ID of the resource to lookup.
     * @param state Any extra arguments used during the lookup.
     * @param opts Optional settings to control the behavior of the CustomResource.
     */
    static get(name: string, id: pulumi.Input<pulumi.ID>, state?: HyperParameterTuningJobState, opts?: pulumi.CustomResourceOptions): HyperParameterTuningJob;
    /**
     * Returns true if the given object is an instance of HyperParameterTuningJob.  This is designed to work even
     * when multiple copies of the Pulumi SDK have been loaded into the same process.
     */
    static isInstance(obj: any): obj is HyperParameterTuningJob;
    /**
     * ARN of the Hyper Parameter Tuning Job.
     */
    readonly arn: pulumi.Output<string>;
    /**
     * Autotune settings. See `autotune`.
     */
    readonly autotune: pulumi.Output<outputs.sagemaker.HyperParameterTuningJobAutotune | undefined>;
    /**
     * Tuning job settings. See `config`.
     */
    readonly config: pulumi.Output<outputs.sagemaker.HyperParameterTuningJobConfig>;
    /**
     * Reason returned by SageMaker AI when a job fails.
     */
    readonly failureReason: pulumi.Output<string>;
    /**
     * Name of the tuning job.
     *
     * The following arguments are optional:
     */
    readonly name: pulumi.Output<string>;
    /**
     * Region where this resource will be [managed](https://docs.aws.amazon.com/general/latest/gr/rande.html#regional-endpoints). Defaults to the Region set in the provider configuration.
     */
    readonly region: pulumi.Output<string>;
    /**
     * Current tuning job status.
     */
    readonly status: pulumi.Output<string>;
    /**
     * Map of tags to assign to this resource.
     */
    readonly tags: pulumi.Output<{
        [key: string]: string;
    } | undefined>;
    /**
     * Map of tags assigned to the resource, including those inherited from the provider `defaultTags` configuration block.
     */
    readonly tagsAll: pulumi.Output<{
        [key: string]: string;
    }>;
    readonly timeouts: pulumi.Output<outputs.sagemaker.HyperParameterTuningJobTimeouts | undefined>;
    /**
     * Single training job definition for tuning. See `trainingJobDefinition`.
     */
    readonly trainingJobDefinition: pulumi.Output<outputs.sagemaker.HyperParameterTuningJobTrainingJobDefinition | undefined>;
    /**
     * Multiple training job definitions for tuning. See `trainingJobDefinition`.
     */
    readonly trainingJobDefinitions: pulumi.Output<outputs.sagemaker.HyperParameterTuningJobTrainingJobDefinition[] | undefined>;
    /**
     * Warm start settings. See `warmStartConfig`.
     */
    readonly warmStartConfig: pulumi.Output<outputs.sagemaker.HyperParameterTuningJobWarmStartConfig | undefined>;
    /**
     * Create a HyperParameterTuningJob resource with the given unique name, arguments, and options.
     *
     * @param name The _unique_ name of the resource.
     * @param args The arguments to use to populate this resource's properties.
     * @param opts A bag of options that control this resource's behavior.
     */
    constructor(name: string, args: HyperParameterTuningJobArgs, opts?: pulumi.CustomResourceOptions);
}
/**
 * Input properties used for looking up and filtering HyperParameterTuningJob resources.
 */
export interface HyperParameterTuningJobState {
    /**
     * ARN of the Hyper Parameter Tuning Job.
     */
    arn?: pulumi.Input<string | undefined>;
    /**
     * Autotune settings. See `autotune`.
     */
    autotune?: pulumi.Input<inputs.sagemaker.HyperParameterTuningJobAutotune | undefined>;
    /**
     * Tuning job settings. See `config`.
     */
    config?: pulumi.Input<inputs.sagemaker.HyperParameterTuningJobConfig | undefined>;
    /**
     * Reason returned by SageMaker AI when a job fails.
     */
    failureReason?: pulumi.Input<string | undefined>;
    /**
     * Name of the tuning job.
     *
     * The following arguments are optional:
     */
    name?: pulumi.Input<string | undefined>;
    /**
     * Region where this resource will be [managed](https://docs.aws.amazon.com/general/latest/gr/rande.html#regional-endpoints). Defaults to the Region set in the provider configuration.
     */
    region?: pulumi.Input<string | undefined>;
    /**
     * Current tuning job status.
     */
    status?: pulumi.Input<string | undefined>;
    /**
     * Map of tags to assign to this resource.
     */
    tags?: pulumi.Input<{
        [key: string]: pulumi.Input<string>;
    } | undefined>;
    /**
     * Map of tags assigned to the resource, including those inherited from the provider `defaultTags` configuration block.
     */
    tagsAll?: pulumi.Input<{
        [key: string]: pulumi.Input<string>;
    } | undefined>;
    timeouts?: pulumi.Input<inputs.sagemaker.HyperParameterTuningJobTimeouts | undefined>;
    /**
     * Single training job definition for tuning. See `trainingJobDefinition`.
     */
    trainingJobDefinition?: pulumi.Input<inputs.sagemaker.HyperParameterTuningJobTrainingJobDefinition | undefined>;
    /**
     * Multiple training job definitions for tuning. See `trainingJobDefinition`.
     */
    trainingJobDefinitions?: pulumi.Input<pulumi.Input<inputs.sagemaker.HyperParameterTuningJobTrainingJobDefinition>[] | undefined>;
    /**
     * Warm start settings. See `warmStartConfig`.
     */
    warmStartConfig?: pulumi.Input<inputs.sagemaker.HyperParameterTuningJobWarmStartConfig | undefined>;
}
/**
 * The set of arguments for constructing a HyperParameterTuningJob resource.
 */
export interface HyperParameterTuningJobArgs {
    /**
     * Autotune settings. See `autotune`.
     */
    autotune?: pulumi.Input<inputs.sagemaker.HyperParameterTuningJobAutotune | undefined>;
    /**
     * Tuning job settings. See `config`.
     */
    config: pulumi.Input<inputs.sagemaker.HyperParameterTuningJobConfig>;
    /**
     * Name of the tuning job.
     *
     * The following arguments are optional:
     */
    name?: pulumi.Input<string | undefined>;
    /**
     * Region where this resource will be [managed](https://docs.aws.amazon.com/general/latest/gr/rande.html#regional-endpoints). Defaults to the Region set in the provider configuration.
     */
    region?: pulumi.Input<string | undefined>;
    /**
     * Map of tags to assign to this resource.
     */
    tags?: pulumi.Input<{
        [key: string]: pulumi.Input<string>;
    } | undefined>;
    timeouts?: pulumi.Input<inputs.sagemaker.HyperParameterTuningJobTimeouts | undefined>;
    /**
     * Single training job definition for tuning. See `trainingJobDefinition`.
     */
    trainingJobDefinition?: pulumi.Input<inputs.sagemaker.HyperParameterTuningJobTrainingJobDefinition | undefined>;
    /**
     * Multiple training job definitions for tuning. See `trainingJobDefinition`.
     */
    trainingJobDefinitions?: pulumi.Input<pulumi.Input<inputs.sagemaker.HyperParameterTuningJobTrainingJobDefinition>[] | undefined>;
    /**
     * Warm start settings. See `warmStartConfig`.
     */
    warmStartConfig?: pulumi.Input<inputs.sagemaker.HyperParameterTuningJobWarmStartConfig | undefined>;
}
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