diff --git a/src/Microsoft.Data.Analysis/DataFrameColumn.cs b/src/Microsoft.Data.Analysis/DataFrameColumn.cs
index b88ffc93d7..81ee51b888 100644
--- a/src/Microsoft.Data.Analysis/DataFrameColumn.cs
+++ b/src/Microsoft.Data.Analysis/DataFrameColumn.cs
@@ -410,7 +410,7 @@ protected Dictionary<long, ICollection<long>> GetGroupedOccurrences<TKey>(DataFr
         public virtual bool HasDescription() => false;
 
         /// <summary>
-        /// Returns a <see cref="StringDataFrameColumn"/> containing the DataType and Length of this column
+        /// Returns a <see cref="StringDataFrameColumn"/> containing the DataType and Length of this column.
         /// </summary>
         public virtual StringDataFrameColumn Info()
         {
diff --git a/src/Microsoft.ML.AutoML/TrainerExtensions/BinaryTrainerExtensions.cs b/src/Microsoft.ML.AutoML/TrainerExtensions/BinaryTrainerExtensions.cs
index 493a6dc731..315379dea3 100644
--- a/src/Microsoft.ML.AutoML/TrainerExtensions/BinaryTrainerExtensions.cs
+++ b/src/Microsoft.ML.AutoML/TrainerExtensions/BinaryTrainerExtensions.cs
@@ -226,6 +226,26 @@ public ITrainerEstimator CreateInstance(MLContext mlContext, IEnumerable<Sweepab
             return mlContext.BinaryClassification.Trainers.SymbolicSgdLogisticRegression(options);
         }
 
+        public PipelineNode CreatePipelineNode(IEnumerable<SweepableParam> sweepParams, ColumnInformation columnInfo)
+        {
+            return TrainerExtensionUtil.BuildPipelineNode(TrainerExtensionCatalog.GetTrainerName(this), sweepParams,
+                columnInfo.LabelColumnName);
+        }
+    }
+    internal class FieldAwareFactorizationMachineBinaryExtension : ITrainerExtension
+    {
+        public IEnumerable<SweepableParam> GetHyperparamSweepRanges()
+        {
+            return SweepableParams.BuildSdcaParams();
+        }
+
+        public ITrainerEstimator CreateInstance(MLContext mlContext, IEnumerable<SweepableParam> sweepParams,
+            ColumnInformation columnInfo, IDataView validationSet)
+        {
+            var options = TrainerExtensionUtil.CreateOptions<Microsoft.ML.Trainers.FieldAwareFactorizationMachineTrainer.Options>(sweepParams, columnInfo.LabelColumnName);
+            return mlContext.BinaryClassification.Trainers.FieldAwareFactorizationMachine(options);
+        }
+
         public PipelineNode CreatePipelineNode(IEnumerable<SweepableParam> sweepParams, ColumnInformation columnInfo)
         {
             return TrainerExtensionUtil.BuildPipelineNode(TrainerExtensionCatalog.GetTrainerName(this), sweepParams,