public override void run(string format, string[] args)
{
base.run(format, args);
POSModel model = (new POSModelLoader()).load(@params.Model);
POSTaggerEvaluationMonitor missclassifiedListener = null;
if (@params.Misclassified.Value)
{
missclassifiedListener = new POSEvaluationErrorListener();
}
POSTaggerFineGrainedReportListener reportListener = null;
File reportFile = @params.ReportOutputFile;
OutputStream reportOutputStream = null;
if (reportFile != null)
{
CmdLineUtil.checkOutputFile("Report Output File", reportFile);
try
{
reportOutputStream = new FileOutputStream(reportFile);
reportListener = new POSTaggerFineGrainedReportListener(reportOutputStream);
}
catch (FileNotFoundException e)
{
throw new TerminateToolException(-1, "IO error while creating POS Tagger fine-grained report file: " + e.Message);
}
}
POSEvaluator evaluator = new POSEvaluator(new opennlp.tools.postag.POSTaggerME(model), missclassifiedListener, reportListener);
Console.Write("Evaluating ... ");
try
{
evaluator.evaluate(sampleStream);
}
catch (IOException e)
{
Console.Error.WriteLine("failed");
throw new TerminateToolException(-1, "IO error while reading test data: " + e.Message, e);
}
finally
{
try
{
sampleStream.close();
}
catch (IOException)
{
// sorry that this can fail
}
}
Console.WriteLine("done");
if (reportListener != null)
{
Console.WriteLine("Writing fine-grained report to " + @params.ReportOutputFile.AbsolutePath);
reportListener.writeReport();
try
{
// TODO: is it a problem to close the stream now?
reportOutputStream.close();
}
catch (IOException)
{
// nothing to do
}
}
Console.WriteLine();
Console.WriteLine("Accuracy: " + evaluator.WordAccuracy);
}
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);
}
POSTaggerEvaluationMonitor missclassifiedListener = null;
if (@params.Misclassified.Value)
{
missclassifiedListener = new POSEvaluationErrorListener();
}
POSTaggerFineGrainedReportListener reportListener = null;
Jfile reportFile = @params.ReportOutputFile;
OutputStream reportOutputStream = null;
if (reportFile != null)
{
CmdLineUtil.checkOutputFile("Report Output File", reportFile);
try
{
reportOutputStream = new FileOutputStream(reportFile);
reportListener = new POSTaggerFineGrainedReportListener(reportOutputStream);
}
catch (FileNotFoundException e)
{
throw new TerminateToolException(-1, "IO error while creating POS Tagger fine-grained report file: " + e.Message);
}
}
POSTaggerCrossValidator validator;
try
{
validator = new POSTaggerCrossValidator(@params.Lang, mlParams, @params.Dict, @params.Ngram, @params.TagDictCutoff, @params.Factory, missclassifiedListener, reportListener);
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
}
}
Console.WriteLine("done");
if (reportListener != null)
{
Console.WriteLine("Writing fine-grained report to " + @params.ReportOutputFile.AbsolutePath);
reportListener.writeReport();
try
{
// TODO: is it a problem to close the stream now?
reportOutputStream.close();
}
catch (IOException)
{
// nothing to do
}
}
Console.WriteLine();
Console.WriteLine("Accuracy: " + validator.WordAccuracy);
}
public Stats(POSTaggerFineGrainedReportListener outerInstance)
{
this.outerInstance = outerInstance;
}
