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CodeGen from PR 23450 in Azure/azure-rest-api-specs
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Release machinelearningservices microsoft.machine learning services 2023 04 01 (Azure#23450)

* Adds base for updating Microsoft.MachineLearningServices from version stable/2022-10-01 to version 2023-04-01

* Updates readme

* Updates API version in new specs and examples

* [Stable] Bring Back schedule shutdown MLC models (Azure#23039)

* bring back schedule shutdown MLC models

* add description

---------

Co-authored-by: Naman Agarwal <naagarw@microsoft.com>

* add minLength:1 prop to required strings (Azure#23109)

* [Stable] Add IdleShutdown properties and api (Azure#23042)

* [Stable] Add IdleShutdown properties and api

* update version

* remove api to update IdleShutdownSetting

* Delete example

---------

Co-authored-by: Naman Agarwal <naagarw@microsoft.com>

* Pushing new features in stable swagger (Azure#23071)

* Pushing new features in stable swagger

* Added example file

* Triggering retest

* Fixed version issue

* Triggering retest

* Removing OS Patching

* Changes as per feedback, and add os patching back

* Fix formatting

* Removed Custom Service Update API

* Fixed Example Files

* Added as per review comments

* Added as per review comments

* Retrigger test

---------

Co-authored-by: Srivatsa Sinha <srsinha@microsoft.com>

* Add Registries 2023-04-01 Swagger (Azure#23085)

* add swagger + examples

* fix readme

* fix readme

* switching to autogenerated registries swagger

* fix spellcheck

* update ga examples

* previous API version for comparison = 2023-02-01-preview

* new API version for comparison = 2023-04-01

* update examples

* update swagger, examples to fix pr gates

* fix lint diff errors

* delete should have a 202 response, update createorupdate examples, fix removeRegions operation

* removeRegions -> LRO POST operation

* fix LRO options on removeRegions

* add registryNameParamert

* update swagger

* update

* PATCH property should have sku, identity properties

* fix example

---------

Co-authored-by: Komal Yadav <komalyadav@microsoft.com>

* MFE April 2023 staging (Azure#23164)

* add latest mfe.json

* updated examples

* add wasbs to known words

* swap pendingupload to proper naming

* align RPs on Azure Machine Learning Services

* rename pendingUpload to verb: startPendingUpload

* remove trailing slash startpendingupload

* improve descriptions

* add pattern to all resource name types + examples

* update original-uri -> azure-async-operation

* remove wasbs and mark credential usage as secret

* test is changing all to azure-async-operation causes breaking change

* the code is implemented where the original-uri is where you will find the final object post-polling

* update examples to remove wasbsUri

* reference registries instead for RegistryName

* remove wasbs

* original-uri -> azure-async-operation

* update examples to empty secrets

* CreateOrUpdatePendingUpload -> CreateOrUpdateStartPendingUpload

* add pattern for workspaceName

* x-ms-secret on the SASUri

* switch back to original-uri given update from auto-rest folks

---------

Co-authored-by: Kayla Ames <kaseager@microsoft.com>

* update compute examples to ReadOnly

* v5->v3

* PartialManagedServiceIdentity -> RegistryPartialManagedServiceIdentity

* update ID for delete/cancel job/schedule location header

* PrivateEndpointConnection -> RegistryPrivateEndpointConnection

* more renames for Registry

* align mlc with arm

* update registry examples

* update registryPrivateLinkServiceConnectionState in examples

* update description arm id for registryPrivateEndpointConnections

* update to preview

---------

Co-authored-by: Naman Agarwal <namanag16@gmail.com>
Co-authored-by: Naman Agarwal <naagarw@microsoft.com>
Co-authored-by: Teddy Todorov <thtodoro@microsoft.com>
Co-authored-by: srivatsasinha <102133347+srivatsasinha@users.noreply.github.com>
Co-authored-by: Srivatsa Sinha <srsinha@microsoft.com>
Co-authored-by: Komal Yadav <23komal.yadav23@gmail.com>
Co-authored-by: Komal Yadav <komalyadav@microsoft.com>
Co-authored-by: Kayla Ames <kaseager@microsoft.com>
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5 changes: 3 additions & 2 deletions common/config/rush/pnpm-lock.yaml

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313 changes: 305 additions & 8 deletions sdk/machinelearning/arm-machinelearning/CHANGELOG.md

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2 changes: 1 addition & 1 deletion sdk/machinelearning/arm-machinelearning/LICENSE
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The MIT License (MIT)

Copyright (c) 2022 Microsoft
Copyright (c) 2023 Microsoft

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
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24 changes: 12 additions & 12 deletions sdk/machinelearning/arm-machinelearning/README.md
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@@ -1,6 +1,6 @@
# AzureMachineLearningWorkspaces client library for JavaScript
# Azure Machine Learning client library for JavaScript

This package contains an isomorphic SDK (runs both in Node.js and in browsers) for AzureMachineLearningWorkspaces client.
This package contains an isomorphic SDK (runs both in Node.js and in browsers) for Azure Machine Learning client.

These APIs allow end users to operate on Azure Machine Learning Workspace resources.

Expand All @@ -24,16 +24,16 @@ See our [support policy](https://github.com/Azure/azure-sdk-for-js/blob/main/SUP

### Install the `@azure/arm-machinelearning` package

Install the AzureMachineLearningWorkspaces client library for JavaScript with `npm`:
Install the Azure Machine Learning client library for JavaScript with `npm`:

```bash
npm install @azure/arm-machinelearning
```

### Create and authenticate a `AzureMachineLearningWorkspaces`
### Create and authenticate a `AzureMachineLearningServices`

To create a client object to access the AzureMachineLearningWorkspaces API, you will need the `endpoint` of your AzureMachineLearningWorkspaces resource and a `credential`. The AzureMachineLearningWorkspaces client can use Azure Active Directory credentials to authenticate.
You can find the endpoint for your AzureMachineLearningWorkspaces resource in the [Azure Portal][azure_portal].
To create a client object to access the Azure Machine Learning API, you will need the `endpoint` of your Azure Machine Learning resource and a `credential`. The Azure Machine Learning client can use Azure Active Directory credentials to authenticate.
You can find the endpoint for your Azure Machine Learning resource in the [Azure Portal][azure_portal].

You can authenticate with Azure Active Directory using a credential from the [@azure/identity][azure_identity] library or [an existing AAD Token](https://github.com/Azure/azure-sdk-for-js/blob/master/sdk/identity/identity/samples/AzureIdentityExamples.md#authenticating-with-a-pre-fetched-access-token).

Expand All @@ -43,25 +43,25 @@ To use the [DefaultAzureCredential][defaultazurecredential] provider shown below
npm install @azure/identity
```

You will also need to **register a new AAD application and grant access to AzureMachineLearningWorkspaces** by assigning the suitable role to your service principal (note: roles such as `"Owner"` will not grant the necessary permissions).
You will also need to **register a new AAD application and grant access to Azure Machine Learning** by assigning the suitable role to your service principal (note: roles such as `"Owner"` will not grant the necessary permissions).
Set the values of the client ID, tenant ID, and client secret of the AAD application as environment variables: `AZURE_CLIENT_ID`, `AZURE_TENANT_ID`, `AZURE_CLIENT_SECRET`.

For more information about how to create an Azure AD Application check out [this guide](https://docs.microsoft.com/azure/active-directory/develop/howto-create-service-principal-portal).

```javascript
const { AzureMachineLearningWorkspaces } = require("@azure/arm-machinelearning");
const { AzureMachineLearningServices } = require("@azure/arm-machinelearning");
const { DefaultAzureCredential } = require("@azure/identity");
// For client-side applications running in the browser, use InteractiveBrowserCredential instead of DefaultAzureCredential. See https://aka.ms/azsdk/js/identity/examples for more details.

const subscriptionId = "00000000-0000-0000-0000-000000000000";
const client = new AzureMachineLearningWorkspaces(new DefaultAzureCredential(), subscriptionId);
const client = new AzureMachineLearningServices(new DefaultAzureCredential(), subscriptionId);

// For client-side applications running in the browser, use this code instead:
// const credential = new InteractiveBrowserCredential({
// tenantId: "<YOUR_TENANT_ID>",
// clientId: "<YOUR_CLIENT_ID>"
// });
// const client = new AzureMachineLearningWorkspaces(credential, subscriptionId);
// const client = new AzureMachineLearningServices(credential, subscriptionId);
```


Expand All @@ -70,9 +70,9 @@ To use this client library in the browser, first you need to use a bundler. For

## Key concepts

### AzureMachineLearningWorkspaces
### AzureMachineLearningServices

`AzureMachineLearningWorkspaces` is the primary interface for developers using the AzureMachineLearningWorkspaces client library. Explore the methods on this client object to understand the different features of the AzureMachineLearningWorkspaces service that you can access.
`AzureMachineLearningServices` is the primary interface for developers using the Azure Machine Learning client library. Explore the methods on this client object to understand the different features of the Azure Machine Learning service that you can access.

## Troubleshooting

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8 changes: 4 additions & 4 deletions sdk/machinelearning/arm-machinelearning/_meta.json
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25 changes: 9 additions & 16 deletions sdk/machinelearning/arm-machinelearning/package.json
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Expand Up @@ -2,16 +2,16 @@
"name": "@azure/arm-machinelearning",
"sdk-type": "mgmt",
"author": "Microsoft Corporation",
"description": "A generated SDK for AzureMachineLearningWorkspaces.",
"version": "2.1.2",
"description": "A generated SDK for AzureMachineLearningServices.",
"version": "3.0.0",
"engines": {
"node": ">=14.0.0"
},
"dependencies": {
"@azure/core-lro": "^2.2.0",
"@azure/core-lro": "^2.5.0",
"@azure/abort-controller": "^1.0.0",
"@azure/core-paging": "^1.2.0",
"@azure/core-client": "^1.6.1",
"@azure/core-client": "^1.7.0",
"@azure/core-auth": "^1.3.0",
"@azure/core-rest-pipeline": "^1.8.0",
"tslib": "^2.2.0"
Expand All @@ -33,12 +33,13 @@
"@rollup/plugin-json": "^6.0.0",
"@rollup/plugin-multi-entry": "^6.0.0",
"@rollup/plugin-node-resolve": "^13.1.3",
"mkdirp": "^1.0.4",
"mkdirp": "^2.1.2",
"rollup": "^2.66.1",
"rollup-plugin-sourcemaps": "^0.6.3",
"typescript": "~4.8.0",
"uglify-js": "^3.4.9",
"rimraf": "^3.0.0",
"dotenv": "^16.0.0",
"@azure/identity": "^2.0.1",
"@azure-tools/test-recorder": "^3.0.0",
"@azure-tools/test-credential": "^1.0.0",
Expand All @@ -49,7 +50,6 @@
"@types/node": "^14.0.0",
"@azure/dev-tool": "^1.0.0"
},
"homepage": "https://github.com/Azure/azure-sdk-for-js/tree/main/sdk/machinelearning/arm-machinelearning",
"repository": {
"type": "git",
"url": "https://github.com/Azure/azure-sdk-for-js.git"
Expand Down Expand Up @@ -105,18 +105,11 @@
"//metadata": {
"constantPaths": [
{
"path": "src/azureMachineLearningWorkspaces.ts",
"path": "src/azureMachineLearningServices.ts",
"prefix": "packageDetails"
}
]
},
"autoPublish": true,
"//sampleConfiguration": {
"productName": "",
"productSlugs": [
"azure"
],
"disableDocsMs": true,
"apiRefLink": "https://docs.microsoft.com/javascript/api/@azure/arm-machinelearning?view=azure-node-preview"
}
}
"homepage": "https://github.com/Azure/azure-sdk-for-js/tree/main/sdk/machinelearning/arm-machinelearning"
}
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