public void GAMClassificationEstimator()
{
var(pipe, dataView) = GetBinaryClassificationPipeline();
var trainer = new BinaryClassificationGamTrainer(Env, new BinaryClassificationGamTrainer.Options
{
GainConfidenceLevel = 0,
NumIterations = 15,
});
var pipeWithTrainer = pipe.Append(trainer);
TestEstimatorCore(pipeWithTrainer, dataView);
var transformedDataView = pipe.Fit(dataView).Transform(dataView);
var model = trainer.Train(transformedDataView, transformedDataView);
Done();
}
public void GAMClassificationEstimator()
{
var(pipe, dataView) = GetBinaryClassificationPipeline();
var trainer = new BinaryClassificationGamTrainer(Env, "Label", "Features", advancedSettings: s =>
{
s.GainConfidenceLevel = 0;
s.NumIterations = 15;
});
var pipeWithTrainer = pipe.Append(trainer);
TestEstimatorCore(pipeWithTrainer, dataView);
var transformedDataView = pipe.Fit(dataView).Transform(dataView);
var model = trainer.Train(transformedDataView, transformedDataView);
Done();
}
