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

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import * as pulumi from "@pulumi/pulumi";
import * as inputs from "../types/input";
import * as outputs from "../types/output";
import * as enums from "../types/enums";
/**
 * Machine Learning dataset object wrapped into ARM resource envelope.
 *
 * Uses Azure REST API version 2020-05-01-preview. In version 2.x of the Azure Native provider, it used API version 2020-05-01-preview.
 */
export declare class MachineLearningDataset extends pulumi.CustomResource {
    /**
     * Get an existing MachineLearningDataset 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): MachineLearningDataset;
    /**
     * Returns true if the given object is an instance of MachineLearningDataset.  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 MachineLearningDataset;
    /**
     * The Azure API version of the resource.
     */
    readonly azureApiVersion: pulumi.Output<string>;
    /**
     * The identity of the resource.
     */
    readonly identity: pulumi.Output<outputs.machinelearningservices.IdentityResponse | undefined>;
    /**
     * Specifies the location of the resource.
     */
    readonly location: pulumi.Output<string | undefined>;
    /**
     * Specifies the name of the resource.
     */
    readonly name: pulumi.Output<string>;
    /**
     * Dataset properties
     */
    readonly properties: pulumi.Output<outputs.machinelearningservices.DatasetResponse>;
    /**
     * The sku of the workspace.
     */
    readonly sku: pulumi.Output<outputs.machinelearningservices.SkuResponse | undefined>;
    /**
     * Contains resource tags defined as key/value pairs.
     */
    readonly tags: pulumi.Output<{
        [key: string]: string;
    } | undefined>;
    /**
     * Specifies the type of the resource.
     */
    readonly type: pulumi.Output<string>;
    /**
     * Create a MachineLearningDataset 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: MachineLearningDatasetArgs, opts?: pulumi.CustomResourceOptions);
}
/**
 * The set of arguments for constructing a MachineLearningDataset resource.
 */
export interface MachineLearningDatasetArgs {
    /**
     * The Dataset name.
     */
    datasetName?: pulumi.Input<string>;
    /**
     * Specifies dataset type.
     */
    datasetType: pulumi.Input<string | enums.machinelearningservices.DatasetType>;
    parameters: pulumi.Input<inputs.machinelearningservices.DatasetCreateRequestParametersArgs>;
    registration: pulumi.Input<inputs.machinelearningservices.DatasetCreateRequestRegistrationArgs>;
    /**
     * Name of the resource group in which workspace is located.
     */
    resourceGroupName: pulumi.Input<string>;
    /**
     * Skip validation that ensures data can be loaded from the dataset before registration.
     */
    skipValidation?: pulumi.Input<boolean>;
    timeSeries?: pulumi.Input<inputs.machinelearningservices.DatasetCreateRequestTimeSeriesArgs>;
    /**
     * Name of Azure Machine Learning workspace.
     */
    workspaceName: pulumi.Input<string>;
}