public void ArbitraryPrediction_Test_With_Enum_Label()
{
ArbitraryPrediction minimumPredictionValue = new ArbitraryPrediction
{
FirstTestFeature = 1.0m,
SecondTestFeature = 10.0m,
ThirdTestFeature = 1.2m
};
Prediction<ArbitraryPrediction>(
new DecisionTreeGenerator(50),
ArbitraryPrediction.GetData(),
minimumPredictionValue,
ap => ap.OutcomeLabel == ArbitraryPrediction.PredictionLabel.Minimum
);
ArbitraryPrediction maximumPredictionValue = new ArbitraryPrediction
{
FirstTestFeature = 1.0m,
SecondTestFeature = 55.0m,
ThirdTestFeature = 1.2m
};
Prediction<ArbitraryPrediction>(
new DecisionTreeGenerator(50),
ArbitraryPrediction.GetData(),
maximumPredictionValue,
ap => ap.OutcomeLabel == ArbitraryPrediction.PredictionLabel.Maximum
);
}
public void ArbitraryPrediction_Test_With_Enum_Label()
{
var data = ArbitraryPrediction.GetData();
var description = Descriptor.Create<ArbitraryPrediction>();
var generator = new DecisionTreeGenerator(50);
var model = generator.Generate(description, data);
ArbitraryPrediction minimumPredictionValue = new ArbitraryPrediction
{
FirstTestFeature = 1.0m,
SecondTestFeature = 10.0m,
ThirdTestFeature = 1.2m
};
ArbitraryPrediction maximumPredictionValue = new ArbitraryPrediction
{
FirstTestFeature = 1.0m,
SecondTestFeature = 55.0m,
ThirdTestFeature = 1.2m
};
var expectedMinimum = model.Predict<ArbitraryPrediction>(minimumPredictionValue).OutcomeLabel;
var expectedMaximum = model.Predict<ArbitraryPrediction>(maximumPredictionValue).OutcomeLabel;
//The value should be minimum, however, maximum is returned
Assert.AreEqual(ArbitraryPrediction.PredictionLabel.Minimum, expectedMinimum);
//Maximum is returned as expected
Assert.AreEqual(ArbitraryPrediction.PredictionLabel.Maximum, expectedMaximum);
}
public void ArbitraryPrediction_Test_With_Named_Iterator()
{
var data = ArbitraryPrediction.GetDataUsingNamedIterator();
var description = Descriptor.Create<ArbitraryPrediction>();
var generator = new DecisionTreeGenerator(50);
var model = generator.Generate(description, data);
ArbitraryPrediction minimumPredictionValue = new ArbitraryPrediction
{
FirstTestFeature = 1.0m,
SecondTestFeature = 10.0m,
ThirdTestFeature = 1.2m
};
ArbitraryPrediction maximumPredictionValue = new ArbitraryPrediction
{
FirstTestFeature = 1.0m,
SecondTestFeature = 57.0m,
ThirdTestFeature = 1.2m
};
var expectedMinimum = model.Predict<ArbitraryPrediction>(minimumPredictionValue).OutcomeLabel;
var expectedMaximum = model.Predict<ArbitraryPrediction>(maximumPredictionValue).OutcomeLabel;
Assert.AreEqual(ArbitraryPrediction.PredictionLabel.Minimum, expectedMinimum);
Assert.AreEqual(ArbitraryPrediction.PredictionLabel.Maximum, expectedMaximum);
}
public void ArbitraryPrediction_Test_With_Feature_Value_Greater_Than_Trained_Instances()
{
ArbitraryPrediction predictionValue = new ArbitraryPrediction
{
FirstTestFeature = 1.0m,
//This value is greater than any of the trained instances
SecondTestFeature = 106.0m,
ThirdTestFeature = 1.2m
};
Prediction<ArbitraryPrediction>(
new DecisionTreeGenerator(50),
ArbitraryPrediction.GetData(),
predictionValue,
ap => ap.OutcomeLabel == ArbitraryPrediction.PredictionLabel.Maximum
);
}
public void ArbitraryPrediction_Test_With_Feature_Value_Greater_Than_Trained_Instances()
{
var data = ArbitraryPrediction.GetData();
var description = Descriptor.Create<ArbitraryPrediction>();
var generator = new DecisionTreeGenerator(50);
var model = generator.Generate(description, data);
ArbitraryPrediction predictionValue = new ArbitraryPrediction
{
FirstTestFeature = 1.0m,
//This value is greater than any of the trained instances
SecondTestFeature = 106.0m,
ThirdTestFeature = 1.2m
};
var expectedValue = model.Predict<ArbitraryPrediction>(predictionValue).OutcomeLabel;
Assert.AreEqual(ArbitraryPrediction.PredictionLabel.Maximum, expectedValue);
}