public override void run(string format, string[] args)
{
base.run(format, args);
mlParams = CmdLineUtil.loadTrainingParameters(@params.Params, false);
if (mlParams != null)
{
if (TrainUtil.isSequenceTraining(mlParams.Settings))
{
throw new TerminateToolException(1, "Sequence training is not supported!");
}
}
if (mlParams == null)
{
mlParams = ModelUtil.createTrainingParameters(@params.Iterations.Value, @params.Cutoff.Value);
}
Jfile modelOutFile = @params.Model;
CmdLineUtil.checkOutputFile("sentence detector model", modelOutFile);
char[] eos = null;
if (@params.EosChars != null)
{
eos = @params.EosChars.ToCharArray();
}
SentenceModel model;
try
{
Dictionary dict = loadDict(@params.AbbDict);
SentenceDetectorFactory sdFactory = SentenceDetectorFactory.create(@params.Factory, @params.Lang, true, dict, eos);
model = SentenceDetectorME.train(@params.Lang, sampleStream, sdFactory, mlParams);
}
catch (IOException e)
{
throw new TerminateToolException(-1, "IO error while reading training data or indexing data: " + e.Message, e);
}
finally
{
try
{
sampleStream.close();
}
catch (IOException)
{
// sorry that this can fail
}
}
CmdLineUtil.writeModel("sentence detector", modelOutFile, model);
}
public override void run(string format, string[] args)
{
base.run(format, args);
mlParams = CmdLineUtil.loadTrainingParameters(@params.Params, false);
if (mlParams == null)
{
mlParams = ModelUtil.createTrainingParameters(@params.Iterations.Value, @params.Cutoff.Value);
}
SDCrossValidator validator;
SentenceDetectorEvaluationMonitor errorListener = null;
if (@params.Misclassified.Value)
{
errorListener = new SentenceEvaluationErrorListener();
}
char[] eos = null;
if (@params.EosChars != null)
{
eos = @params.EosChars.ToCharArray();
}
try
{
Dictionary abbreviations = SentenceDetectorTrainerTool.loadDict(@params.AbbDict);
SentenceDetectorFactory sdFactory = SentenceDetectorFactory.create(@params.Factory, @params.Lang, true, abbreviations, eos);
validator = new SDCrossValidator(@params.Lang, mlParams, sdFactory, errorListener);
validator.evaluate(sampleStream, @params.Folds.Value);
}
catch (IOException e)
{
throw new TerminateToolException(-1, "IO error while reading training data or indexing data: " + e.Message, e);
}
finally
{
try
{
sampleStream.close();
}
catch (IOException)
{
// sorry that this can fail
}
}
FMeasure result = validator.FMeasure;
Console.WriteLine(result.ToString());
}