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[ReleasePR track2_@azure/arm-machinelearningservices] Add xms-ids for machinelearning, machinelearningcompute, machinelearningexperimentation and machinelearningservices #19099

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27 changes: 25 additions & 2 deletions common/config/rush/pnpm-lock.yaml

Some generated files are not rendered by default. Learn more about how customized files appear on GitHub.

5 changes: 5 additions & 0 deletions rush.json
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"packageName": "@azure/arm-loadtestservice",
"projectFolder": "sdk/loadtestservice/arm-loadtestservice",
"versionPolicyName": "management"
},
{
"packageName": "@azure/arm-machinelearningservices",
"projectFolder": "sdk/machinelearningservices/arm-machinelearningservices",
"versionPolicyName": "management"
}
]
}
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# Release History

## 5.0.0 (2021-12-10)

The package of @azure/arm-machinelearningservices is using our next generation design principles since version 5.0.0, which contains breaking changes.

To understand the detail of the change, please refer to [Changelog](https://aka.ms/js-track2-changelog).

To migrate the existing applications to the latest version, please refer to [Migration Guide](https://aka.ms/js-track2-migration-guide).

To learn more, please refer to our documentation [Quick Start](https://aka.ms/js-track2-quickstart).
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The MIT License (MIT)

Copyright (c) 2020 Microsoft
Copyright (c) 2021 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
Expand All @@ -18,4 +18,4 @@ FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
SOFTWARE.
138 changes: 69 additions & 69 deletions sdk/machinelearningservices/arm-machinelearningservices/README.md
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## Azure AzureMachineLearningWorkspaces SDK for JavaScript
# Azure Service client library for JavaScript

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

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

[Source code](https://github.com/Azure/azure-sdk-for-js/tree/main/sdk/machinelearningservices/arm-machinelearningservices) |
[Package (NPM)](https://www.npmjs.com/package/@azure/arm-machinelearningservices) |
[API reference documentation](https://docs.microsoft.com/javascript/api/@azure/arm-machinelearningservices) |
[Samples](https://github.com/Azure-Samples/azure-samples-js-management)

## Getting started

### Currently supported environments

- [LTS versions of Node.js](https://nodejs.org/about/releases/)
- Latest versions of Safari, Chrome, Edge, and Firefox.
- Latest versions of Safari, Chrome, Edge and Firefox.

### Prerequisites

- An [Azure subscription][azure_sub].

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

### How to Install
Install the Azure Service client library for JavaScript with `npm`:

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

### How to use
### Create and authenticate a `AzureMachineLearningWorkspaces`

#### nodejs - client creation and list operations as an example written in TypeScript.
To create a client object to access the Azure Service API, you will need the `endpoint` of your Azure Service resource and a `credential`. The Azure Service client can use Azure Active Directory credentials to authenticate.
You can find the endpoint for your Azure Service resource in the [Azure Portal][azure_portal].

##### Install @azure/ms-rest-nodeauth
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).

To use the [DefaultAzureCredential][defaultazurecredential] provider shown below, or other credential providers provided with the Azure SDK, please install the `@azure/identity` package:

- Please install minimum version of `"@azure/ms-rest-nodeauth": "^3.0.0"`.
```bash
npm install @azure/ms-rest-nodeauth@"^3.0.0"
npm install @azure/identity
```

##### Sample code
You will also need to **register a new AAD application and grant access to Azure Service** 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).

While the below sample uses the interactive login, other authentication options can be found in the [README.md file of @azure/ms-rest-nodeauth](https://www.npmjs.com/package/@azure/ms-rest-nodeauth) package
```typescript
const msRestNodeAuth = require("@azure/ms-rest-nodeauth");
```javascript
const { AzureMachineLearningWorkspaces } = require("@azure/arm-machinelearningservices");
const subscriptionId = process.env["AZURE_SUBSCRIPTION_ID"];

msRestNodeAuth.interactiveLogin().then((creds) => {
const client = new AzureMachineLearningWorkspaces(creds, subscriptionId);
client.operations.list().then((result) => {
console.log("The result is:");
console.log(result);
});
}).catch((err) => {
console.error(err);
});
const { DefaultAzureCredential } = require("@azure/identity");
const subscriptionId = "00000000-0000-0000-0000-000000000000";
const client = new AzureMachineLearningWorkspaces(new DefaultAzureCredential(), subscriptionId);
```

#### browser - Authentication, client creation and list operations as an example written in JavaScript.

##### Install @azure/ms-rest-browserauth
### JavaScript Bundle
To use this client library in the browser, first you need to use a bundler. For details on how to do this, please refer to our [bundling documentation](https://aka.ms/AzureSDKBundling).

```bash
npm install @azure/ms-rest-browserauth
```
## Key concepts

### AzureMachineLearningWorkspaces

##### Sample code

See https://github.com/Azure/ms-rest-browserauth to learn how to authenticate to Azure in the browser.

- index.html
```html
<!DOCTYPE html>
<html lang="en">
<head>
<title>@azure/arm-machinelearningservices sample</title>
<script src="node_modules/@azure/ms-rest-js/dist/msRest.browser.js"></script>
<script src="node_modules/@azure/ms-rest-azure-js/dist/msRestAzure.js"></script>
<script src="node_modules/@azure/ms-rest-browserauth/dist/msAuth.js"></script>
<script src="node_modules/@azure/arm-machinelearningservices/dist/arm-machinelearningservices.js"></script>
<script type="text/javascript">
const subscriptionId = "<Subscription_Id>";
const authManager = new msAuth.AuthManager({
clientId: "<client id for your Azure AD app>",
tenant: "<optional tenant for your organization>"
});
authManager.finalizeLogin().then((res) => {
if (!res.isLoggedIn) {
// may cause redirects
authManager.login();
}
const client = new Azure.ArmMachinelearningservices.AzureMachineLearningWorkspaces(res.creds, subscriptionId);
client.operations.list().then((result) => {
console.log("The result is:");
console.log(result);
}).catch((err) => {
console.log("An error occurred:");
console.error(err);
});
});
</script>
</head>
<body></body>
</html>
`AzureMachineLearningWorkspaces` is the primary interface for developers using the Azure Service client library. Explore the methods on this client object to understand the different features of the Azure Service service that you can access.

## Troubleshooting

### Logging

Enabling logging may help uncover useful information about failures. In order to see a log of HTTP requests and responses, set the `AZURE_LOG_LEVEL` environment variable to `info`. Alternatively, logging can be enabled at runtime by calling `setLogLevel` in the `@azure/logger`:

```javascript
const { setLogLevel } = require("@azure/logger");
setLogLevel("info");
```

For more detailed instructions on how to enable logs, you can look at the [@azure/logger package docs](https://github.com/Azure/azure-sdk-for-js/tree/main/sdk/core/logger).

## Next steps

Please take a look at the [samples](https://github.com/Azure-Samples/azure-samples-js-management) directory for detailed examples on how to use this library.

## Contributing

If you'd like to contribute to this library, please read the [contributing guide](https://github.com/Azure/azure-sdk-for-js/blob/main/CONTRIBUTING.md) to learn more about how to build and test the code.

## Related projects

- [Microsoft Azure SDK for Javascript](https://github.com/Azure/azure-sdk-for-js)
- [Microsoft Azure SDK for JavaScript](https://github.com/Azure/azure-sdk-for-js)

![Impressions](https://azure-sdk-impressions.azurewebsites.net/api/impressions/azure-sdk-for-js%2Fsdk%2Fmachinelearningservices%2Farm-machinelearningservices%2FREADME.png)

![Impressions](https://azure-sdk-impressions.azurewebsites.net/api/impressions/azure-sdk-for-js/sdk/machinelearningservices/arm-machinelearningservices/README.png)
[azure_cli]: https://docs.microsoft.com/cli/azure
[azure_sub]: https://azure.microsoft.com/free/
[azure_sub]: https://azure.microsoft.com/free/
[azure_portal]: https://portal.azure.com
[azure_identity]: https://github.com/Azure/azure-sdk-for-js/tree/main/sdk/identity/identity
[defaultazurecredential]: https://github.com/Azure/azure-sdk-for-js/tree/main/sdk/identity/identity#defaultazurecredential
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"repository_url": "https://github.com/Azure/azure-rest-api-specs.git",
"use": "@autorest/[email protected]"
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