public override void run(string format, string[] args)
{
base.run(format, args);
TokenNameFinderModel model = (new TokenNameFinderModelLoader()).load(@params.Model);
IList <EvaluationMonitor <NameSample> > listeners = new LinkedList <EvaluationMonitor <NameSample> >();
if (@params.Misclassified.Value)
{
listeners.Add(new NameEvaluationErrorListener());
}
TokenNameFinderDetailedFMeasureListener detailedFListener = null;
if (@params.DetailedF.Value)
{
detailedFListener = new TokenNameFinderDetailedFMeasureListener();
listeners.Add(detailedFListener);
}
TokenNameFinderEvaluator evaluator = new TokenNameFinderEvaluator(new NameFinderME(model), listeners.ToArray());
PerformanceMonitor monitor = new PerformanceMonitor("sent");
ObjectStream <NameSample> measuredSampleStream = new ObjectStreamAnonymousInnerClassHelper(this, monitor);
monitor.startAndPrintThroughput();
try
{
evaluator.evaluate(measuredSampleStream);
}
catch (IOException e)
{
Console.Error.WriteLine("failed");
throw new TerminateToolException(-1, "IO error while reading test data: " + e.Message, e);
}
finally
{
try
{
measuredSampleStream.close();
}
catch (IOException)
{
// sorry that this can fail
}
}
monitor.stopAndPrintFinalResult();
Console.WriteLine();
if (detailedFListener == null)
{
Console.WriteLine(evaluator.FMeasure);
}
else
{
Console.WriteLine(detailedFListener.ToString());
}
}
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);
}
sbyte[] featureGeneratorBytes = TokenNameFinderTrainerTool.openFeatureGeneratorBytes(@params.Featuregen);
IDictionary <string, object> resources = TokenNameFinderTrainerTool.loadResources(@params.Resources);
IList <EvaluationMonitor <NameSample> > listeners = new LinkedList <EvaluationMonitor <NameSample> >();
if (@params.Misclassified.Value)
{
listeners.Add(new NameEvaluationErrorListener());
}
TokenNameFinderDetailedFMeasureListener detailedFListener = null;
if (@params.DetailedF.Value)
{
detailedFListener = new TokenNameFinderDetailedFMeasureListener();
listeners.Add(detailedFListener);
}
TokenNameFinderCrossValidator validator;
try
{
validator = new TokenNameFinderCrossValidator(@params.Lang, @params.Type, mlParams, featureGeneratorBytes, resources, listeners.ToArray());
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");
Console.WriteLine();
if (detailedFListener == null)
{
Console.WriteLine(validator.FMeasure);
}
else
{
Console.WriteLine(detailedFListener.ToString());
}
}