public void TrainModel()
{
StreamReader trainingReader = new StreamReader(testPath);
GisModel model;
ITrainingEventReader eventReader = new BasicEventReader(new PlainTextByLineDataReader(trainingReader));
GisTrainer trainer = new GisTrainer();
trainer.TrainModel(eventReader);
model = new GisModel(trainer);
string modelDataFile = testPath.Replace(".txt", ".nbin"); // + ".nbin";
IO.BinaryGisModelWriter writer = new IO.BinaryGisModelWriter();
writer.Persist(model, modelDataFile);
}
private static SharpEntropy.GisModel Train(SharpEntropy.ITrainingEventReader eventReader, int iterations, int cutoff)
{
SharpEntropy.GisTrainer trainer = new SharpEntropy.GisTrainer();
trainer.TrainModel(iterations, new SharpEntropy.TwoPassDataIndexer(eventReader, cutoff));
return(new SharpEntropy.GisModel(trainer));
}
/// <summary>
/// Trains a POS tag maximum entropy model.
/// </summary>
/// <param name="eventStream">
/// Stream of training events
/// </param>
/// <param name="iterations">
/// number of training iterations to perform.
/// </param>
/// <param name="cut">
/// cutoff value to use for the data indexer.
/// </param>
/// <returns>
/// Trained GIS model.
/// </returns>
public static SharpEntropy.GisModel Train(SharpEntropy.ITrainingEventReader eventStream, int iterations, int cut)
{
SharpEntropy.GisTrainer trainer = new SharpEntropy.GisTrainer();
trainer.TrainModel(iterations, new SharpEntropy.TwoPassDataIndexer(eventStream, cut));
return(new SharpEntropy.GisModel(trainer));
}