resolving more review comments

Author: artidoro

src/Microsoft.ML.OnnxTransform/OnnxCatalog.cs

@@ -11,10 +11,12 @@ public static class OnnxCatalog
     {
         /// <summary>
         /// Applies a pre-trained Onnx model.
+        /// </summary>
+        /// <remarks>
         /// All column names are provided, the input data column names/types must exactly match
         /// all model input names. All possible output columns are then generated, with names/types
         /// specified by the model.
-        /// </summary>
+        /// </remarks>
         /// <param name="catalog">The transform's catalog.</param>
         /// <param name="modelFile">The path of the file containing the ONNX model.</param>
         /// <param name="gpuDeviceId">Optional GPU device ID to run execution on, <see langword="null" /> to run on CPU.</param>
@@ -30,8 +32,8 @@ public static OnnxScoringEstimator ApplyOnnxModel(this TransformsCatalog catalog
         /// </summary>
         /// <param name="catalog">The transform's catalog.</param>
         /// <param name="modelFile">The path of the file containing the ONNX model.</param>
-        /// <param name="outputColumnName">The input column.</param>
-        /// <param name="inputColumnName">The output column resulting from the transformation.</param>
+        /// <param name="outputColumnName">The output column resulting from the transformation.</param>
+        /// <param name="inputColumnName">The input column.</param>
         /// <param name="gpuDeviceId">Optional GPU device ID to run execution on, <see langword="null" /> to run on CPU.</param>
         /// <param name="fallbackToCpu">If GPU error, raise exception or fallback to CPU.</param>
         public static OnnxScoringEstimator ApplyOnnxModel(this TransformsCatalog catalog,
@@ -47,8 +49,8 @@ public static OnnxScoringEstimator ApplyOnnxModel(this TransformsCatalog catalog
         /// </summary>
         /// <param name="catalog">The transform's catalog.</param>
         /// <param name="modelFile">The path of the file containing the ONNX model.</param>
-        /// <param name="outputColumnNames">The input columns.</param>
-        /// <param name="inputColumnNames">The output columns resulting from the transformation.</param>
+        /// <param name="outputColumnNames">The output columns resulting from the transformation.</param>
+        /// <param name="inputColumnNames">The input columns.</param>
         /// <param name="gpuDeviceId">Optional GPU device ID to run execution on, <see langword="null" /> to run on CPU.</param>
         /// <param name="fallbackToCpu">If GPU error, raise exception or fallback to CPU.</param>
         public static OnnxScoringEstimator ApplyOnnxModel(this TransformsCatalog catalog,

src/Microsoft.ML.Transforms/KeyToVectorMapping.cs

@@ -58,7 +58,9 @@ private static VersionInfo GetVersionInfo()
 
         private const string RegistrationName = "KeyToBinary";
 
-        // The names of the output and input column pairs on which the transformation is performed.
+        /// <summary>
+        /// The names of the output and input column pairs on which the transformation is performed.
+        /// </summary>
         public IReadOnlyCollection<(string outputColumnName, string inputColumnName)> Columns => ColumnPairs.AsReadOnly();
 
         private string TestIsKey(ColumnType type)