PR feedback.

Author: codemzs

src/Microsoft.ML.PCA/PCACatalog.cs

@@ -40,7 +40,7 @@ internal static PrincipalComponentAnalyzer ProjectToPrincipalComponents(this Tra
             => new PrincipalComponentAnalyzer(CatalogUtils.GetEnvironment(catalog), columns);
 
         /// <summary>
-        /// Creates a <see cref="RandomizedPcaTrainer"/>, which trains an approximate principal component analysis (PCA) model using randomized SVD algorithm.
+        /// Create <see cref="RandomizedPcaTrainer"/>, which trains an approximate principal component analysis (PCA) model using randomized SVD algorithm.
         /// </summary>
         /// <param name="catalog">The anomaly detection catalog trainer object.</param>
         /// <param name="featureColumnName">The name of the feature column. The column data must be a known-sized vector of <see cref="System.Single"/>.</param>
@@ -69,7 +69,7 @@ public static RandomizedPcaTrainer RandomizedPca(this AnomalyDetectionCatalog.An
         }
 
         /// <summary>
-        /// TCreates a <see cref="RandomizedPcaTrainer"/>, which trains an approximate principal component analysis (PCA) model using randomized SVD algorithm with advanced options.
+        /// Create <see cref="RandomizedPcaTrainer"/> using advanced options, which trains an approximate principal component analysis (PCA) model using randomized SVD algorithm.
         /// </summary>
         /// <param name="catalog">The anomaly detection catalog trainer object.</param>
         /// <param name="options">Advanced options to the algorithm.</param>

src/Microsoft.ML.PCA/PcaTrainer.cs

@@ -46,7 +46,7 @@ namespace Microsoft.ML.Trainers
     /// |  |  |
     /// | -- | -- |
     /// | Machine learning task | Anomaly Detection |
-    /// | Is normalization required? | Yes |
+    /// | Is normalization required? | No |
     /// | Is caching required? | No |
     /// | Required NuGet in addition to Microsoft.ML | None |
     ///
@@ -55,8 +55,8 @@ namespace Microsoft.ML.Trainers
     /// ]]>
     /// </format>
     /// </remarks>
-    /// <seealso cref="Microsoft.ML.PcaCatalog.RandomizedPca(Microsoft.ML.AnomalyDetectionCatalog.AnomalyDetectionTrainers,System.String,System.String,System.Int32,System.Int32,System.Boolean,System.Nullable{System.Int32})"/>
-    /// <seealso cref="Microsoft.ML.PcaCatalog.RandomizedPca(Microsoft.ML.AnomalyDetectionCatalog.AnomalyDetectionTrainers,Microsoft.ML.Trainers.RandomizedPcaTrainer.Options)"/>
+    /// <seealso cref="PcaCatalog.RandomizedPca(AnomalyDetectionCatalog.AnomalyDetectionTrainers, string, string, int, int, bool, int?)"/>
+    /// <seealso cref="PcaCatalog.RandomizedPca(AnomalyDetectionCatalog.AnomalyDetectionTrainers, RandomizedPcaTrainer.Options)"/>
     /// <seealso cref="Options"/>
     public sealed class RandomizedPcaTrainer : TrainerEstimatorBase<AnomalyPredictionTransformer<PcaModelParameters>, PcaModelParameters>
     {