public void FinishLearning()
{
train_file.Close();
train_file = null;
train_file2.Close();
train_file2 = null;
System.IO.StreamReader trainingStreamReader = new System.IO.StreamReader(train_file_path);
SharpEntropy.ITrainingEventReader eventReader = new SharpEntropy.BasicEventReader(new SharpEntropy.PlainTextByLineDataReader(trainingStreamReader));
SharpEntropy.GisTrainer trainer = new SharpEntropy.GisTrainer();
System.Console.WriteLine("Training MaxEnt...");
trainer.TrainModel(eventReader);
mModel = new SharpEntropy.GisModel(trainer);
string modelDataFile = @"maxent_model.txt";
//SharpEntropy.IO.BinaryGisModelWriter writer = new SharpEntropy.IO.BinaryGisModelWriter();
SharpEntropy.IO.PlainTextGisModelWriter writer = new SharpEntropy.IO.PlainTextGisModelWriter();
writer.Persist(mModel, modelDataFile);
result_label2id = new Dictionary <string, int>();
foreach (string label in result_labels)
{
int id = mModel.GetOutcomeIndex(label);
result_label2id.Add(label, id);
}
return;
}
private static void ConvertBinaryGisFileToPlainText(string inputFilePath, string outputFilePath)
{
var reader = new BinaryGisModelReader(inputFilePath);
var model = new GisModel(reader);
var writer = new PlainTextGisModelWriter();
writer.Persist(model, outputFilePath);
}
