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); } IList <EvaluationMonitor <ChunkSample> > listeners = new LinkedList <EvaluationMonitor <ChunkSample> >(); ChunkerDetailedFMeasureListener detailedFMeasureListener = null; if (@params.Misclassified.Value) { listeners.Add(new ChunkEvaluationErrorListener()); } if (@params.DetailedF.Value) { detailedFMeasureListener = new ChunkerDetailedFMeasureListener(); listeners.Add(detailedFMeasureListener); } ChunkerCrossValidator validator; try { ChunkerFactory chunkerFactory = ChunkerFactory.create(@params.Factory); validator = new ChunkerCrossValidator(@params.Lang, mlParams, chunkerFactory, 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 } } if (detailedFMeasureListener == null) { FMeasure result = validator.FMeasure; Console.WriteLine(result.ToString()); } else { Console.WriteLine(detailedFMeasureListener.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); } 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()); }
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); } TokenizerCrossValidator validator; TokenizerEvaluationMonitor listener = null; if (@params.Misclassified.Value) { listener = new TokenEvaluationErrorListener(); } try { Dictionary dict = TokenizerTrainerTool.loadDict(@params.AbbDict); TokenizerFactory tokFactory = TokenizerFactory.create(@params.Factory, @params.Lang, dict, @params.AlphaNumOpt.Value, null); validator = new TokenizerCrossValidator(mlParams, tokFactory, listener); 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()); }