diff --git a/XamlBrewer.Uwp.MachineLearningSample/Models/Automation/AutomationModel.cs b/XamlBrewer.Uwp.MachineLearningSample/Models/Automation/AutomationModel.cs
index fc9af11..0d72f0d 100644
--- a/XamlBrewer.Uwp.MachineLearningSample/Models/Automation/AutomationModel.cs
+++ b/XamlBrewer.Uwp.MachineLearningSample/Models/Automation/AutomationModel.cs
@@ -76,7 +76,7 @@ public void SetUpExperiment()
             {
                 MaxExperimentTimeInSeconds = 180,
                 OptimizingMetric = MulticlassClassificationMetric.LogLoss,
-                CacheDirectory = null
+                CacheDirectoryName = null,
             };
 
             // These two trainers yield no metrics in UWP:
@@ -105,7 +105,7 @@ public void HyperParameterize()
             {
                 MaxExperimentTimeInSeconds = 180,
                 OptimizingMetric = MulticlassClassificationMetric.LogLoss,
-                CacheDirectory = null
+                CacheDirectoryName = null
             };
 
             // There can be only one.
diff --git a/XamlBrewer.Uwp.MachineLearningSample/Models/Regression/RegressionModel.cs b/XamlBrewer.Uwp.MachineLearningSample/Models/Regression/RegressionModel.cs
index 7f1f90e..36ee5a5 100644
--- a/XamlBrewer.Uwp.MachineLearningSample/Models/Regression/RegressionModel.cs
+++ b/XamlBrewer.Uwp.MachineLearningSample/Models/Regression/RegressionModel.cs
@@ -41,9 +41,9 @@ public IEnumerable<RegressionData> Load(string trainingDataPath)
             return _mlContext.Data.CreateEnumerable<RegressionData>(trainingData, reuseRowObject: false);
         }
 
-        public void BuildAndTrain()
+        public void BuildAndTrain(string regressionTrainer)
         {
-            var pipeline = _mlContext.Transforms.ReplaceMissingValues("Age", "Age", MissingValueReplacingEstimator.ReplacementMode.Mean)
+            var prepipeline = _mlContext.Transforms.ReplaceMissingValues("Age", "Age", MissingValueReplacingEstimator.ReplacementMode.Mean)
                 .Append(_mlContext.Transforms.ReplaceMissingValues("Ws", "Ws", MissingValueReplacingEstimator.ReplacementMode.Mean))
                 .Append(_mlContext.Transforms.ReplaceMissingValues("Bmp", "Bmp", MissingValueReplacingEstimator.ReplacementMode.Mean))
                 .Append(_mlContext.Transforms.ReplaceMissingValues("NBA_DraftNumber", "NBA_DraftNumber", MissingValueReplacingEstimator.ReplacementMode.Mean))
@@ -53,15 +53,43 @@ public void BuildAndTrain()
                 .Append(_mlContext.Transforms.NormalizeMeanVariance("Bmp", "Bmp"))
                 .Append(_mlContext.Transforms.Concatenate(
                     "Features",
-                    new[] { "NBA_DraftNumber", "Age", "Ws", "Bmp" }))
-                // .Append(_mlContext.Regression.Trainers.FastTree()); // PlatformNotSupportedException
-                // .Append(_mlContext.Regression.Trainers.OnlineGradientDescent(new OnlineGradientDescentTrainer.Options { })); // InvalidOperationException if you don't normalize.
-                // .Append(_mlContext.Regression.Trainers.StochasticDualCoordinateAscent());       
-                // .Append(_mlContext.Regression.Trainers.PoissonRegression());
-                .Append(_mlContext.Regression.Trainers.Gam());
-
-            Model = pipeline.Fit(trainingData);
-
+                    new[] { "NBA_DraftNumber", "Age", "Ws", "Bmp" }));
+            // .Append(_mlContext.Regression.Trainers.FastTree()); // PlatformNotSupportedException
+            // .Append(_mlContext.Regression.Trainers.OnlineGradientDescent(new OnlineGradientDescentTrainer.Options { })); // InvalidOperationException if you don't normalize.
+            // .Append(_mlContext.Regression.Trainers.StochasticDualCoordinateAscent());       
+            // .Append(_mlContext.Regression.Trainers.PoissonRegression());
+            //.Append(_mlContext.Regression.Trainers.Gam());
+            switch (regressionTrainer)
+            {
+                //case "FastTree": // PlatformNotSupportedException
+                //    var pipelineFastTree = prepipeline.Append(_mlContext.Regression.Trainers.FastTree());
+                //    Model = pipelineFastTree.Fit(trainingData);
+                //    break;
+                //case "FastTreeTweedie": // PlatformNotSupportedException
+                //    var pipelineFastTreeTweedie = prepipeline.Append(_mlContext.Regression.Trainers.FastTreeTweedie());
+                //    Model = pipelineFastTreeTweedie.Fit(trainingData);
+                //    break;
+                case "Gam":
+                    var pipelineGam = prepipeline.Append(_mlContext.Regression.Trainers.Gam());
+                    Model = pipelineGam.Fit(trainingData);
+                    break;
+                case "LightGbm":
+                    var pipelineLightGbm = prepipeline.Append(_mlContext.Regression.Trainers.LightGbm());
+                    Model = pipelineLightGbm.Fit(trainingData);
+                    break;
+                case "Ols":
+                    var pipelineOls = prepipeline.Append(_mlContext.Regression.Trainers.Ols());
+                    Model = pipelineOls.Fit(trainingData);
+                    break;
+                case "Sdca":
+                    var pipelineSdca = prepipeline.Append(_mlContext.Regression.Trainers.Sdca());
+                    Model = pipelineSdca.Fit(trainingData);
+                    break;
+                default:
+                    var pipeline = prepipeline.Append(_mlContext.Regression.Trainers.Gam());
+                    Model = pipeline.Fit(trainingData);
+                    break;
+            }
             predictionEngine = _mlContext.Model.CreatePredictionEngine<RegressionData, RegressionPrediction>(Model);
         }
 
diff --git a/XamlBrewer.Uwp.MachineLearningSample/ViewModels/RegressionPageViewModel.cs b/XamlBrewer.Uwp.MachineLearningSample/ViewModels/RegressionPageViewModel.cs
index 94c9067..6a001e2 100644
--- a/XamlBrewer.Uwp.MachineLearningSample/ViewModels/RegressionPageViewModel.cs
+++ b/XamlBrewer.Uwp.MachineLearningSample/ViewModels/RegressionPageViewModel.cs
@@ -17,11 +17,11 @@ public Task<IEnumerable<RegressionData>> Load(string trainingDataPath)
             });
         }
 
-        public Task BuildAndTrain()
+        public Task BuildAndTrain(string regressionTrainer)
         {
             return Task.Run(() =>
             {
-                _model.BuildAndTrain();
+                _model.BuildAndTrain(regressionTrainer);
             });
         }
 
diff --git a/XamlBrewer.Uwp.MachineLearningSample/Views/RegressionPage.xaml b/XamlBrewer.Uwp.MachineLearningSample/Views/RegressionPage.xaml
index 582805f..dffe07f 100644
--- a/XamlBrewer.Uwp.MachineLearningSample/Views/RegressionPage.xaml
+++ b/XamlBrewer.Uwp.MachineLearningSample/Views/RegressionPage.xaml
@@ -105,9 +105,14 @@
                           IsChecked="False"
                           Grid.Row="4"
                           Grid.Column="1" />
-                <Button x:Name="RestartButton"
-                        Click="Page_Loaded"
-                        Grid.Row="5">Restart</Button>
+                <StackPanel Orientation="Horizontal"
+                            Grid.Row="5">
+                    <ComboBox x:Name="RegressionTrainersCombo"
+                          SelectionChanged="RegressionTrainersCombo_SelectionChanged"
+                          Header="Regression trainer" />
+                    <Button x:Name="RestartButton" Margin="20"
+                        Click="Page_Loaded">Restart</Button>
+                </StackPanel>
                 <controls:AnimatedVisualPlayer x:Name="BusyIndicator"
                                                Visibility="Collapsed"
                                                Height="180"
diff --git a/XamlBrewer.Uwp.MachineLearningSample/Views/RegressionPage.xaml.cs b/XamlBrewer.Uwp.MachineLearningSample/Views/RegressionPage.xaml.cs
index 66c4ebc..0536b94 100644
--- a/XamlBrewer.Uwp.MachineLearningSample/Views/RegressionPage.xaml.cs
+++ b/XamlBrewer.Uwp.MachineLearningSample/Views/RegressionPage.xaml.cs
@@ -19,6 +19,8 @@ public RegressionPage()
             this.DataContext = new RegressionPageViewModel();
 
             Loaded += Page_Loaded;
+            RegressionTrainersCombo.ItemsSource = new[] { "Gam", "LightGbm", "Ols", "Sdca" };
+            RegressionTrainersCombo.SelectedIndex = 0;
         }
 
         private RegressionPageViewModel ViewModel => DataContext as RegressionPageViewModel;
@@ -50,7 +52,7 @@ private async void Page_Loaded(object sender, Windows.UI.Xaml.RoutedEventArgs e)
 
             // Create and train the model      
             TrainingBox.IsChecked = true;
-            await ViewModel.BuildAndTrain();
+            await ViewModel.BuildAndTrain(RegressionTrainersCombo.SelectedItem.ToString());
 
             // Save the model.
             await ViewModel.Save("regressionModel.zip");
@@ -172,5 +174,10 @@ private async void Slider_ValueChanged(object sender, Windows.UI.Xaml.Controls.P
             Diagram.Model.Annotations.Add(annotation);
             Diagram.InvalidatePlot();
         }
+
+        private void RegressionTrainersCombo_SelectionChanged(object sender, SelectionChangedEventArgs e)
+        {
+        }
+
     }
 }
diff --git a/XamlBrewer.Uwp.MachineLearningSample/XamlBrewer.Uwp.MachineLearningSample.csproj b/XamlBrewer.Uwp.MachineLearningSample/XamlBrewer.Uwp.MachineLearningSample.csproj
index 536b2ca..5fe9f45 100644
--- a/XamlBrewer.Uwp.MachineLearningSample/XamlBrewer.Uwp.MachineLearningSample.csproj
+++ b/XamlBrewer.Uwp.MachineLearningSample/XamlBrewer.Uwp.MachineLearningSample.csproj
@@ -333,22 +333,22 @@
   </ItemGroup>
   <ItemGroup>
     <PackageReference Include="Microsoft.ML">
-      <Version>1.5.1</Version>
+      <Version>1.7.0</Version>
     </PackageReference>
     <PackageReference Include="Microsoft.ML.AutoML">
-      <Version>0.17.1</Version>
+      <Version>0.19.0</Version>
     </PackageReference>
     <PackageReference Include="Microsoft.ML.FastTree">
-      <Version>1.5.1</Version>
+      <Version>1.7.0</Version>
     </PackageReference>
     <PackageReference Include="Microsoft.ML.Recommender">
-      <Version>0.17.1</Version>
+      <Version>0.19.0</Version>
     </PackageReference>
     <PackageReference Include="Microsoft.NETCore.UniversalWindowsPlatform">
-      <Version>6.2.10</Version>
+      <Version>6.2.13</Version>
     </PackageReference>
     <PackageReference Include="Microsoft.Toolkit.Uwp.UI.Lottie">
-      <Version>6.1.0</Version>
+      <Version>7.1.0</Version>
     </PackageReference>
     <PackageReference Include="OxyPlot.Windows">
       <Version>2.0.0-unstable1035</Version>