diff --git a/src/Microsoft.ML.StandardTrainers/Standard/Simple/SimpleTrainers.cs b/src/Microsoft.ML.StandardTrainers/Standard/Simple/SimpleTrainers.cs
index b9f162c538..1cb786f084 100644
--- a/src/Microsoft.ML.StandardTrainers/Standard/Simple/SimpleTrainers.cs
+++ b/src/Microsoft.ML.StandardTrainers/Standard/Simple/SimpleTrainers.cs
@@ -176,7 +176,7 @@ private void MapDist(in VBuffer<float> src, ref float score, ref float prob)
     /// |  |  |
     /// | -- | -- |
     /// | Machine learning task | Binary classification |
-    /// | Is normalization required? | Yes |
+    /// | Is normalization required? | No |
     /// | Is caching required? | No |
     /// | Required NuGet in addition to Microsoft.ML | None |
     ///
@@ -186,7 +186,6 @@ private void MapDist(in VBuffer<float> src, ref float score, ref float prob)
     /// </format>
     /// </remarks>
     /// <seealso cref="Microsoft.ML.StandardTrainersCatalog.Prior(Microsoft.ML.BinaryClassificationCatalog.BinaryClassificationTrainers,System.String,System.String)"/>
-    /// <seealso cref="Options"/>
     public sealed class PriorTrainer : ITrainer<PriorModelParameters>,
         ITrainerEstimator<BinaryPredictionTransformer<PriorModelParameters>, PriorModelParameters>
     {
diff --git a/src/Microsoft.ML.StandardTrainers/StandardTrainersCatalog.cs b/src/Microsoft.ML.StandardTrainers/StandardTrainersCatalog.cs
index b60dc7ffb5..d491ac66d4 100644
--- a/src/Microsoft.ML.StandardTrainers/StandardTrainersCatalog.cs
+++ b/src/Microsoft.ML.StandardTrainers/StandardTrainersCatalog.cs
@@ -854,7 +854,7 @@ private static ICalibratorTrainer GetCalibratorTrainerOrThrow(IExceptionContext
         }
 
         /// <summary>
-        /// Creates <see cref="PriorTrainer"/>, which predict a target using a binary classification model.
+        /// Create <see cref="PriorTrainer"/>, which predict a target using a binary classification model.
         /// </summary>
         /// <remarks>
         /// This trainer uses the proportion of a label in the training set as the probability of that label.