@pulumi/azure-native
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99 lines • 10.1 kB
JavaScript
;
// *** WARNING: this file was generated by pulumi-language-nodejs. ***
// *** Do not edit by hand unless you're certain you know what you are doing! ***
Object.defineProperty(exports, "__esModule", { value: true });
exports.MachineLearningDataset = void 0;
const pulumi = require("@pulumi/pulumi");
const inputs = require("../types/input");
const utilities = require("../utilities");
/**
* 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.
*/
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, id, opts) {
return new MachineLearningDataset(name, undefined, Object.assign(Object.assign({}, opts), { id: id }));
}
/**
* 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) {
if (obj === undefined || obj === null) {
return false;
}
return obj['__pulumiType'] === MachineLearningDataset.__pulumiType;
}
/**
* 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, args, opts) {
var _a;
let resourceInputs = {};
opts = opts || {};
if (!opts.id) {
if ((!args || args.datasetType === undefined) && !opts.urn) {
throw new Error("Missing required property 'datasetType'");
}
if ((!args || args.parameters === undefined) && !opts.urn) {
throw new Error("Missing required property 'parameters'");
}
if ((!args || args.registration === undefined) && !opts.urn) {
throw new Error("Missing required property 'registration'");
}
if ((!args || args.resourceGroupName === undefined) && !opts.urn) {
throw new Error("Missing required property 'resourceGroupName'");
}
if ((!args || args.workspaceName === undefined) && !opts.urn) {
throw new Error("Missing required property 'workspaceName'");
}
resourceInputs["datasetName"] = args ? args.datasetName : undefined;
resourceInputs["datasetType"] = args ? args.datasetType : undefined;
resourceInputs["parameters"] = args ? (args.parameters ? pulumi.output(args.parameters).apply(inputs.machinelearningservices.datasetCreateRequestParametersArgsProvideDefaults) : undefined) : undefined;
resourceInputs["registration"] = args ? args.registration : undefined;
resourceInputs["resourceGroupName"] = args ? args.resourceGroupName : undefined;
resourceInputs["skipValidation"] = (_a = (args ? args.skipValidation : undefined)) !== null && _a !== void 0 ? _a : false;
resourceInputs["timeSeries"] = args ? args.timeSeries : undefined;
resourceInputs["workspaceName"] = args ? args.workspaceName : undefined;
resourceInputs["azureApiVersion"] = undefined /*out*/;
resourceInputs["identity"] = undefined /*out*/;
resourceInputs["location"] = undefined /*out*/;
resourceInputs["name"] = undefined /*out*/;
resourceInputs["properties"] = undefined /*out*/;
resourceInputs["sku"] = undefined /*out*/;
resourceInputs["tags"] = undefined /*out*/;
resourceInputs["type"] = undefined /*out*/;
}
else {
resourceInputs["azureApiVersion"] = undefined /*out*/;
resourceInputs["identity"] = undefined /*out*/;
resourceInputs["location"] = undefined /*out*/;
resourceInputs["name"] = undefined /*out*/;
resourceInputs["properties"] = undefined /*out*/;
resourceInputs["sku"] = undefined /*out*/;
resourceInputs["tags"] = undefined /*out*/;
resourceInputs["type"] = undefined /*out*/;
}
opts = pulumi.mergeOptions(utilities.resourceOptsDefaults(), opts);
const aliasOpts = { aliases: [{ type: "azure-native:machinelearningservices/v20200501preview:MachineLearningDataset" }] };
opts = pulumi.mergeOptions(opts, aliasOpts);
super(MachineLearningDataset.__pulumiType, name, resourceInputs, opts);
}
}
exports.MachineLearningDataset = MachineLearningDataset;
/** @internal */
MachineLearningDataset.__pulumiType = 'azure-native:machinelearningservices:MachineLearningDataset';
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