@pulumi/azure-native/machinelearningservices/getMachineLearningDataset.d.ts

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import * as pulumi from "@pulumi/pulumi";
import * as outputs from "../types/output";
/**
 * Get a Dataset by name.
 *
 * Uses Azure REST API version 2020-05-01-preview.
 */
export declare function getMachineLearningDataset(args: GetMachineLearningDatasetArgs, opts?: pulumi.InvokeOptions): Promise<GetMachineLearningDatasetResult>;
export interface GetMachineLearningDatasetArgs {
    /**
     * The Dataset name.
     */
    datasetName: string;
    /**
     * Name of the resource group in which workspace is located.
     */
    resourceGroupName: string;
    /**
     * Name of Azure Machine Learning workspace.
     */
    workspaceName: string;
}
/**
 * Machine Learning dataset object wrapped into ARM resource envelope.
 */
export interface GetMachineLearningDatasetResult {
    /**
     * The Azure API version of the resource.
     */
    readonly azureApiVersion: string;
    /**
     * Specifies the resource ID.
     */
    readonly id: string;
    /**
     * The identity of the resource.
     */
    readonly identity?: outputs.machinelearningservices.IdentityResponse;
    /**
     * Specifies the location of the resource.
     */
    readonly location?: string;
    /**
     * Specifies the name of the resource.
     */
    readonly name: string;
    /**
     * Dataset properties
     */
    readonly properties: outputs.machinelearningservices.DatasetResponse;
    /**
     * The sku of the workspace.
     */
    readonly sku?: outputs.machinelearningservices.SkuResponse;
    /**
     * Contains resource tags defined as key/value pairs.
     */
    readonly tags?: {
        [key: string]: string;
    };
    /**
     * Specifies the type of the resource.
     */
    readonly type: string;
}
/**
 * Get a Dataset by name.
 *
 * Uses Azure REST API version 2020-05-01-preview.
 */
export declare function getMachineLearningDatasetOutput(args: GetMachineLearningDatasetOutputArgs, opts?: pulumi.InvokeOutputOptions): pulumi.Output<GetMachineLearningDatasetResult>;
export interface GetMachineLearningDatasetOutputArgs {
    /**
     * The Dataset name.
     */
    datasetName: pulumi.Input<string>;
    /**
     * Name of the resource group in which workspace is located.
     */
    resourceGroupName: pulumi.Input<string>;
    /**
     * Name of Azure Machine Learning workspace.
     */
    workspaceName: pulumi.Input<string>;
}