CodeGen from PR 21761 in Azure/azure-rest-api-specs

Machinelearningservices microsoft.machine learning services 2022 12 01 preview (Azure#21761) * Adds base for updating Microsoft.MachineLearningServices from version preview/2022-10-01-preview to version 2022-12-01-preview * Updates readme * Updates API version in new specs and examples * Add Dec API Registries Swagger (Azure#21419) * add december registries swagger + examples * add status code 202 in examples * fix 202 examples * fixes * fixes * fix * add 202 back in for put/patch Co-authored-by: Komal Yadav <komalyadav@microsoft.com> * remove location (Azure#21430) Co-authored-by: Komal Yadav <komalyadav@microsoft.com> * remove readonly flag on schedules property for CI (Azure#21653) Co-authored-by: Naman Agarwal <naagarw@microsoft.com> * add missing workspace properties (Azure#21725) * December preview updating mfe.json specs (Azure#21510) * December preview updating mfe.json specs * MFE Dec 2022 Preview API - Adding logbase * MFE 2022-12-01-preview swagger spec model validation fix * MFE 2022-12-01-preview swagger spec model validation fix, add missing location * MFE 2022-12-01-preview swagger spec model validation - typo fix * MFE 2022-12-01-preview swagger spec model validation - fix api version in automljob example * MFE 2022-12-01-preview swagger spec model validation - fix for multiselectenabled error * MFE 2022-12-01-preview swagger spec model validation - fix for multiselectenabled error * Fix for 1006 - RemovedDefinition (RecurrenceTrigger,CronTrigger) (Azure#21822) * fix ReadonlyPropertyChanged of MLC (Azure#21814) Co-authored-by: Bingchen Li <bingchenli@microsoft.com> * fixed custom-words conflict (Azure#21829) * fix custom-words conflict merge (Azure#21830) * example fix (INVALID_REQUEST_PARAMETER) (Azure#21832) Co-authored-by: Ivaliy Ivanov <ivaliyivanov@Ivaliys-MacBook-Air.local> * example fix, use correct api preview version - (INVALID_REQUEST_PARAMETER) (Azure#21833) Co-authored-by: Ivaliy Ivanov <ivaliyivanov@Ivaliys-MacBook-Air.local> * Revert breaking change for MLC swagger 2022-12-01-preview (Azure#21885) Co-authored-by: Bingchen Li <bingchenli@microsoft.com> * Revert Connection Category back to enum. (Azure#21939) * revert provisioning state change (Azure#21940) * remove body (Azure#21978) Co-authored-by: Komal Yadav <komalyadav@microsoft.com> * Addressed comments, added x-ms-long-running-operation to a patch call (Azure#22005) * Addressed comments, added x-ms-long-running-operation to a patch call * fix examples for patch - remove body * fixed formatting * Ivalbert fix patch2 (Azure#22006) * Addressed comments, added x-ms-long-running-operation to a patch call * fix examples for patch - remove body * fixed formatting * fixed formatting * Updated custom words (Azure#22262) * Fixed prettier errors (Azure#22237) * fixed examples for LRO_RESPONSE_HEADER check (Azure#22293) * fixed examples for LRO_RESPONSE_HEADER check (Azure#22294) * Example fix - OBJECT_MISSING_REQUIRED_PROPERTY - Missing required property: triggerType (#22317) --------- Co-authored-by: Komal Yadav <23komal.yadav23@gmail.com> Co-authored-by: Komal Yadav <komalyadav@microsoft.com> Co-authored-by: Naman Agarwal <namanag16@gmail.com> Co-authored-by: Naman Agarwal <naagarw@microsoft.com> Co-authored-by: ZhidaLiu <zhili@microsoft.com> Co-authored-by: libc16 <88697960+libc16@users.noreply.github.com> Co-authored-by: Bingchen Li <bingchenli@microsoft.com> Co-authored-by: Ivaliy Ivanov <ivaliyivanov@Ivaliys-MacBook-Air.local>
azure-sdk · Feb 1, 2023 · 0029830 · 0029830
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diff --git a/sdk/machinelearning/arm-machinelearning/CHANGELOG.md b/sdk/machinelearning/arm-machinelearning/CHANGELOG.md
diff --git a/sdk/machinelearning/arm-machinelearning/LICENSE b/sdk/machinelearning/arm-machinelearning/LICENSE
@@ -1,6 +1,6 @@
 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

diff --git a/sdk/machinelearning/arm-machinelearning/README.md b/sdk/machinelearning/arm-machinelearning/README.md
@@ -1,12 +1,12 @@
-# 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.
 
 [Source code](https://github.com/Azure/azure-sdk-for-js/tree/main/sdk/machinelearning/arm-machinelearning) |
 [Package (NPM)](https://www.npmjs.com/package/@azure/arm-machinelearning) |
-[API reference documentation](https://docs.microsoft.com/javascript/api/@azure/arm-machinelearning) |
+[API reference documentation](https://docs.microsoft.com/javascript/api/@azure/arm-machinelearning?view=azure-node-preview) |
 [Samples](https://github.com/Azure-Samples/azure-samples-js-management)
 
 ## Getting started
@@ -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).
 
@@ -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);
 ```
 
 
@@ -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
 

diff --git a/sdk/machinelearning/arm-machinelearning/_meta.json b/sdk/machinelearning/arm-machinelearning/_meta.json
@@ -1,8 +1,8 @@
 {
-  "commit": "1fefe3f5cee88319b17c08a2dbf95e1e983a9f8c",
+  "commit": "db6f7414f95b0925dca0b5cc23619d3b3760e3cb",
   "readme": "specification/machinelearningservices/resource-manager/readme.md",
-  "autorest_command": "autorest --version=3.8.4 --typescript --modelerfour.lenient-model-deduplication --azure-arm --head-as-boolean=true --license-header=MICROSOFT_MIT_NO_VERSION --generate-test --typescript-sdks-folder=D:\\Git\\azure-sdk-for-js ..\\azure-rest-api-specs\\specification\\machinelearningservices\\resource-manager\\readme.md --use=@autorest/typescript@6.0.0-rc.3.20221108.1 --generate-sample=true",
+  "autorest_command": "autorest --version=3.9.3 --typescript --modelerfour.lenient-model-deduplication --azure-arm --head-as-boolean=true --license-header=MICROSOFT_MIT_NO_VERSION --generate-test --typescript-sdks-folder=/mnt/vss/_work/1/s/azure-sdk-for-js ../azure-rest-api-specs/specification/machinelearningservices/resource-manager/readme.md --use=@autorest/typescript@6.0.0-rc.5",
   "repository_url": "https://github.com/Azure/azure-rest-api-specs.git",
-  "release_tool": "@azure-tools/js-sdk-release-tools@2.4.2",
-  "use": "@autorest/typescript@6.0.0-rc.3.20221108.1"
+  "release_tool": "@azure-tools/js-sdk-release-tools@2.6.1",
+  "use": "@autorest/typescript@6.0.0-rc.5"
 }
diff --git a/sdk/machinelearning/arm-machinelearning/package.json b/sdk/machinelearning/arm-machinelearning/package.json
@@ -2,8 +2,8 @@
   "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-beta.1",
   "engines": {
     "node": ">=14.0.0"
   },
@@ -105,18 +105,10 @@
   "//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"
-  }
-}
+  "autoPublish": true
+}