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Add regression trainer selector on the Regression. #6

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18d8c50
All libraries updated to the latest as of Feb. 2022
straygizmo Feb 26, 2022
833823c
Add regression trainer selector on the Regression.
straygizmo Feb 27, 2022
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4 changes: 2 additions & 2 deletions XamlBrewer.Uwp.MachineLearningSample/Models/Automation/AutomationModel.cs
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Expand Up @@ -76,7 +76,7 @@ public void SetUpExperiment()
{
MaxExperimentTimeInSeconds = 180,
OptimizingMetric = MulticlassClassificationMetric.LogLoss,
CacheDirectory = null
CacheDirectoryName = null,
};

// These two trainers yield no metrics in UWP:
Expand Down Expand Up @@ -105,7 +105,7 @@ public void HyperParameterize()
{
MaxExperimentTimeInSeconds = 180,
OptimizingMetric = MulticlassClassificationMetric.LogLoss,
CacheDirectory = null
CacheDirectoryName = null
};

// There can be only one.
Expand Down
50 changes: 39 additions & 11 deletions XamlBrewer.Uwp.MachineLearningSample/Models/Regression/RegressionModel.cs
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Expand Up @@ -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))
Expand All @@ -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);
}

Expand Down
4 changes: 2 additions & 2 deletions XamlBrewer.Uwp.MachineLearningSample/ViewModels/RegressionPageViewModel.cs
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Expand Up @@ -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);
});
}

Expand Down
11 changes: 8 additions & 3 deletions XamlBrewer.Uwp.MachineLearningSample/Views/RegressionPage.xaml
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Expand Up @@ -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"
Expand Down
9 changes: 8 additions & 1 deletion XamlBrewer.Uwp.MachineLearningSample/Views/RegressionPage.xaml.cs
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Expand Up @@ -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;
Expand Down Expand Up @@ -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");
Expand Down Expand Up @@ -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)
{
}

}
}
12 changes: 6 additions & 6 deletions XamlBrewer.Uwp.MachineLearningSample/XamlBrewer.Uwp.MachineLearningSample.csproj
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Expand Up @@ -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>
Expand Down