import * as pulumi from "@pulumi/pulumi";
import * as inputs from "../types/input";
import * as outputs from "../types/output";
import * as enums from "../types/enums";
/**
 * Resource Type definition for AWS::SageMaker::InferenceExperiment
 */
export declare class InferenceExperiment extends pulumi.CustomResource {
    /**
     * Get an existing InferenceExperiment 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 opts Optional settings to control the behavior of the CustomResource.
     */
    static get(name: string, id: pulumi.Input<pulumi.ID>, opts?: pulumi.CustomResourceOptions): InferenceExperiment;
    /**
     * Returns true if the given object is an instance of InferenceExperiment.  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 InferenceExperiment;
    /**
     * The Amazon Resource Name (ARN) of the inference experiment.
     */
    readonly arn: pulumi.Output<string>;
    /**
     * The timestamp at which you created the inference experiment.
     */
    readonly creationTime: pulumi.Output<string>;
    /**
     * The Amazon S3 location and configuration for storing inference request and response data.
     */
    readonly dataStorageConfig: pulumi.Output<outputs.sagemaker.InferenceExperimentDataStorageConfig | undefined>;
    /**
     * The description of the inference experiment.
     */
    readonly description: pulumi.Output<string | undefined>;
    /**
     * The desired state of the experiment after starting or stopping operation.
     */
    readonly desiredState: pulumi.Output<enums.sagemaker.InferenceExperimentDesiredState | undefined>;
    readonly endpointMetadata: pulumi.Output<outputs.sagemaker.InferenceExperimentEndpointMetadata>;
    /**
     * The name of the endpoint.
     */
    readonly endpointName: pulumi.Output<string>;
    /**
     * The AWS Key Management Service (AWS KMS) key that Amazon SageMaker uses to encrypt data on the storage volume attached to the ML compute instance that hosts the endpoint.
     */
    readonly kmsKey: pulumi.Output<string | undefined>;
    /**
     * The timestamp at which you last modified the inference experiment.
     */
    readonly lastModifiedTime: pulumi.Output<string>;
    /**
     * An array of ModelVariantConfig objects. Each ModelVariantConfig object in the array describes the infrastructure configuration for the corresponding variant.
     */
    readonly modelVariants: pulumi.Output<outputs.sagemaker.InferenceExperimentModelVariantConfig[]>;
    /**
     * The name for the inference experiment.
     */
    readonly name: pulumi.Output<string>;
    /**
     * The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker can assume to access model artifacts and container images, and manage Amazon SageMaker Inference endpoints for model deployment.
     */
    readonly roleArn: pulumi.Output<string>;
    /**
     * The duration for which the inference experiment ran or will run.
     *
     * The maximum duration that you can set for an inference experiment is 30 days.
     */
    readonly schedule: pulumi.Output<outputs.sagemaker.InferenceExperimentSchedule | undefined>;
    /**
     * The configuration of `ShadowMode` inference experiment type, which shows the production variant that takes all the inference requests, and the shadow variant to which Amazon SageMaker replicates a percentage of the inference requests. For the shadow variant it also shows the percentage of requests that Amazon SageMaker replicates.
     */
    readonly shadowModeConfig: pulumi.Output<outputs.sagemaker.InferenceExperimentShadowModeConfig | undefined>;
    /**
     * The status of the inference experiment.
     */
    readonly status: pulumi.Output<enums.sagemaker.InferenceExperimentStatus>;
    /**
     * The error message or client-specified reason from the StopInferenceExperiment API, that explains the status of the inference experiment.
     */
    readonly statusReason: pulumi.Output<string | undefined>;
    /**
     * An array of key-value pairs to apply to this resource.
     */
    readonly tags: pulumi.Output<outputs.Tag[] | undefined>;
    /**
     * The type of the inference experiment that you want to run.
     */
    readonly type: pulumi.Output<enums.sagemaker.InferenceExperimentType>;
    /**
     * Create a InferenceExperiment 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: InferenceExperimentArgs, opts?: pulumi.CustomResourceOptions);
}
/**
 * The set of arguments for constructing a InferenceExperiment resource.
 */
export interface InferenceExperimentArgs {
    /**
     * The Amazon S3 location and configuration for storing inference request and response data.
     */
    dataStorageConfig?: pulumi.Input<inputs.sagemaker.InferenceExperimentDataStorageConfigArgs>;
    /**
     * The description of the inference experiment.
     */
    description?: pulumi.Input<string>;
    /**
     * The desired state of the experiment after starting or stopping operation.
     */
    desiredState?: pulumi.Input<enums.sagemaker.InferenceExperimentDesiredState>;
    /**
     * The name of the endpoint.
     */
    endpointName: pulumi.Input<string>;
    /**
     * The AWS Key Management Service (AWS KMS) key that Amazon SageMaker uses to encrypt data on the storage volume attached to the ML compute instance that hosts the endpoint.
     */
    kmsKey?: pulumi.Input<string>;
    /**
     * An array of ModelVariantConfig objects. Each ModelVariantConfig object in the array describes the infrastructure configuration for the corresponding variant.
     */
    modelVariants: pulumi.Input<pulumi.Input<inputs.sagemaker.InferenceExperimentModelVariantConfigArgs>[]>;
    /**
     * The name for the inference experiment.
     */
    name?: pulumi.Input<string>;
    /**
     * The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker can assume to access model artifacts and container images, and manage Amazon SageMaker Inference endpoints for model deployment.
     */
    roleArn: pulumi.Input<string>;
    /**
     * The duration for which the inference experiment ran or will run.
     *
     * The maximum duration that you can set for an inference experiment is 30 days.
     */
    schedule?: pulumi.Input<inputs.sagemaker.InferenceExperimentScheduleArgs>;
    /**
     * The configuration of `ShadowMode` inference experiment type, which shows the production variant that takes all the inference requests, and the shadow variant to which Amazon SageMaker replicates a percentage of the inference requests. For the shadow variant it also shows the percentage of requests that Amazon SageMaker replicates.
     */
    shadowModeConfig?: pulumi.Input<inputs.sagemaker.InferenceExperimentShadowModeConfigArgs>;
    /**
     * The error message or client-specified reason from the StopInferenceExperiment API, that explains the status of the inference experiment.
     */
    statusReason?: pulumi.Input<string>;
    /**
     * An array of key-value pairs to apply to this resource.
     */
    tags?: pulumi.Input<pulumi.Input<inputs.TagArgs>[]>;
    /**
     * The type of the inference experiment that you want to run.
     */
    type: pulumi.Input<enums.sagemaker.InferenceExperimentType>;
}