diff --git a/sdk/machinelearningservices/Azure.ResourceManager.MachineLearning/src/Generated/Models/AzureFileDatastore.cs b/sdk/machinelearningservices/Azure.ResourceManager.MachineLearning/src/Generated/Models/AzureFileDatastore.cs
index 39d2452884ac3..30636534c5707 100644
--- a/sdk/machinelearningservices/Azure.ResourceManager.MachineLearning/src/Generated/Models/AzureFileDatastore.cs
+++ b/sdk/machinelearningservices/Azure.ResourceManager.MachineLearning/src/Generated/Models/AzureFileDatastore.cs
@@ -20,7 +20,7 @@ public partial class AzureFileDatastore : DatastoreProperties
         /// The available derived classes include <see cref="AccountKeyDatastoreCredentials"/>, <see cref="CertificateDatastoreCredentials"/>, <see cref="KerberosKeytabCredentials"/>, <see cref="KerberosPasswordCredentials"/>, <see cref="NoneDatastoreCredentials"/>, <see cref="SasDatastoreCredentials"/> and <see cref="ServicePrincipalDatastoreCredentials"/>.
         /// </param>
         /// <param name="accountName"> [Required] Storage account name. </param>
-        /// <param name="fileShareName"> [Required] TODO - File share name. </param>
+        /// <param name="fileShareName"> [Required] The name of the Azure file share that the datastore points to. </param>
         /// <exception cref="ArgumentNullException"> <paramref name="credentials"/>, <paramref name="accountName"/> or <paramref name="fileShareName"/> is null. </exception>
         public AzureFileDatastore(DatastoreCredentials credentials, string accountName, string fileShareName) : base(credentials)
         {
@@ -55,7 +55,7 @@ public AzureFileDatastore(DatastoreCredentials credentials, string accountName,
         /// <param name="isDefault"> Readonly property to indicate if datastore is the workspace default datastore. </param>
         /// <param name="accountName"> [Required] Storage account name. </param>
         /// <param name="endpoint"> Azure cloud endpoint for the storage account. </param>
-        /// <param name="fileShareName"> [Required] TODO - File share name. </param>
+        /// <param name="fileShareName"> [Required] The name of the Azure file share that the datastore points to. </param>
         /// <param name="protocol"> Protocol used to communicate with the storage account. </param>
         /// <param name="serviceDataAccessAuthIdentity"> Indicates which identity to use to authenticate service data access to customer&apos;s storage. </param>
         internal AzureFileDatastore(string description, IDictionary<string, string> properties, IDictionary<string, string> tags, DatastoreCredentials credentials, DatastoreType datastoreType, bool? isDefault, string accountName, string endpoint, string fileShareName, string protocol, ServiceDataAccessAuthIdentity? serviceDataAccessAuthIdentity) : base(description, properties, tags, credentials, datastoreType, isDefault)
@@ -72,7 +72,7 @@ internal AzureFileDatastore(string description, IDictionary<string, string> prop
         public string AccountName { get; set; }
         /// <summary> Azure cloud endpoint for the storage account. </summary>
         public string Endpoint { get; set; }
-        /// <summary> [Required] TODO - File share name. </summary>
+        /// <summary> [Required] The name of the Azure file share that the datastore points to. </summary>
         public string FileShareName { get; set; }
         /// <summary> Protocol used to communicate with the storage account. </summary>
         public string Protocol { get; set; }
diff --git a/sdk/machinelearningservices/Azure.ResourceManager.MachineLearning/src/Generated/Models/ForecastingModel.cs b/sdk/machinelearningservices/Azure.ResourceManager.MachineLearning/src/Generated/Models/ForecastingModel.cs
index 87322c460cdaa..b78e502661bb3 100644
--- a/sdk/machinelearningservices/Azure.ResourceManager.MachineLearning/src/Generated/Models/ForecastingModel.cs
+++ b/sdk/machinelearningservices/Azure.ResourceManager.MachineLearning/src/Generated/Models/ForecastingModel.cs
@@ -67,7 +67,7 @@ public ForecastingModel(string value)
         /// This method is suitable for forecasting when data is stationary/non stationary, and multivariate with any type of data pattern, i.e., level/trend /seasonality/cyclicity.
         /// </summary>
         public static ForecastingModel Arimax { get; } = new ForecastingModel(ArimaxValue);
-        /// <summary> TCNForecaster: Temporal Convolutional Networks Forecaster. //TODO: Ask forecasting team for brief intro. </summary>
+        /// <summary> TCNForecaster: Temporal Convolutional Networks Forecaster. </summary>
         public static ForecastingModel TCNForecaster { get; } = new ForecastingModel(TCNForecasterValue);
         /// <summary> Elastic net is a popular type of regularized linear regression that combines two popular penalties, specifically the L1 and L2 penalty functions. </summary>
         public static ForecastingModel ElasticNet { get; } = new ForecastingModel(ElasticNetValue);
diff --git a/sdk/machinelearningservices/Azure.ResourceManager.MachineLearning/src/Generated/Models/SkuScaleType.cs b/sdk/machinelearningservices/Azure.ResourceManager.MachineLearning/src/Generated/Models/SkuScaleType.cs
index 2d6102a082169..02e629be5201a 100644
--- a/sdk/machinelearningservices/Azure.ResourceManager.MachineLearning/src/Generated/Models/SkuScaleType.cs
+++ b/sdk/machinelearningservices/Azure.ResourceManager.MachineLearning/src/Generated/Models/SkuScaleType.cs
@@ -10,7 +10,7 @@
 
 namespace Azure.ResourceManager.MachineLearning.Models
 {
-    /// <summary> TODO - SKU scale type. </summary>
+    /// <summary> Node scaling setting for the compute sku. </summary>
     public readonly partial struct SkuScaleType : IEquatable<SkuScaleType>
     {
         private readonly string _value;
@@ -26,11 +26,11 @@ public SkuScaleType(string value)
         private const string ManualValue = "Manual";
         private const string NoneValue = "None";
 
-        /// <summary> Automatic. </summary>
+        /// <summary> Automatically scales node count. </summary>
         public static SkuScaleType Automatic { get; } = new SkuScaleType(AutomaticValue);
-        /// <summary> Manual. </summary>
+        /// <summary> Node count scaled upon user request. </summary>
         public static SkuScaleType Manual { get; } = new SkuScaleType(ManualValue);
-        /// <summary> None. </summary>
+        /// <summary> Fixed set of nodes. </summary>
         public static SkuScaleType None { get; } = new SkuScaleType(NoneValue);
         /// <summary> Determines if two <see cref="SkuScaleType"/> values are the same. </summary>
         public static bool operator ==(SkuScaleType left, SkuScaleType right) => left.Equals(right);
diff --git a/sdk/machinelearningservices/Azure.ResourceManager.MachineLearning/src/autorest.md b/sdk/machinelearningservices/Azure.ResourceManager.MachineLearning/src/autorest.md
index a96a8d3f6b22c..2357eb39613f5 100644
--- a/sdk/machinelearningservices/Azure.ResourceManager.MachineLearning/src/autorest.md
+++ b/sdk/machinelearningservices/Azure.ResourceManager.MachineLearning/src/autorest.md
@@ -7,7 +7,7 @@ Run `dotnet build /t:GenerateCode` to generate code.
 azure-arm: true
 library-name: MachineLearning
 namespace: Azure.ResourceManager.MachineLearning
-require: https://raw.githubusercontent.com/Azure/azure-rest-api-specs/0bff4d0f259847b1fc97a4ca8f98b8c40d672ba5/specification/machinelearningservices/resource-manager/readme.md
+require: /mnt/vss/_work/1/s/azure-rest-api-specs/specification/machinelearningservices/resource-manager/readme.md
 tag: package-2022-02-01-preview
 output-folder: $(this-folder)/Generated
 clear-output-folder: true