private void Train(ExperimentModifier settings)
{
var setup = MulticlassExperimentSettingsHelper.SetupExperiment(_mLContext, settings, settings.Paths, settings.ForPrs);
try
{
// Start experiment
var textLoader = _mLContext.Data.CreateTextLoader(setup.columnInference.TextLoaderOptions);
var paths = settings.Paths;
// train once:
var experimentResult = MulticlassExperimentHelper.Train(
_mLContext, settings.LabelColumnName, setup.experimentSettings, new MulticlassExperimentProgressHandler(), paths, textLoader);
// train twice
var refitModel = MulticlassExperimentHelper.Retrain(experimentResult,
"refit model",
new MultiFileSource(paths.TrainPath, paths.ValidatePath),
paths.ValidatePath,
paths.FittedModelPath, textLoader, _mLContext);
// final train:
refitModel = MulticlassExperimentHelper.Retrain(_mLContext, experimentResult, setup.columnInference, paths);
}
catch (Exception ex)
{
Trace.WriteLine(ex);
}
}
public void Test(DataFilePaths files, bool forPrs)
{
MulticlassExperimentHelper.TestPrediction(_mLContext, files, forPrs: forPrs);
}
