/* * Licensed to the Apache Software Foundation (ASF) under one or more * contributor license agreements. See the NOTICE file distributed with * this work for additional information regarding copyright ownership. * The ASF licenses this file to You under the Apache License, Version 2.0 * (the "License"); you may not use this file except in compliance with * the License. You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. */ package opennlp.tools.cmdline.postag; import java.io.File; import java.io.FileNotFoundException; import java.io.FileOutputStream; import java.io.IOException; import java.io.OutputStream; import java.util.Map; import opennlp.tools.cmdline.AbstractCrossValidatorTool; import opennlp.tools.cmdline.CmdLineUtil; import opennlp.tools.cmdline.TerminateToolException; import opennlp.tools.cmdline.namefind.TokenNameFinderTrainerTool; import opennlp.tools.cmdline.params.CVParams; import opennlp.tools.cmdline.params.FineGrainedEvaluatorParams; import opennlp.tools.cmdline.postag.POSTaggerCrossValidatorTool.CVToolParams; import opennlp.tools.postag.POSSample; import opennlp.tools.postag.POSTaggerCrossValidator; import opennlp.tools.postag.POSTaggerEvaluationMonitor; import opennlp.tools.util.model.ModelUtil; public final class POSTaggerCrossValidatorTool extends AbstractCrossValidatorTool<POSSample, CVToolParams> { interface CVToolParams extends CVParams, TrainingParams, FineGrainedEvaluatorParams { } public POSTaggerCrossValidatorTool() { super(POSSample.class, CVToolParams.class); } public String getShortDescription() { return "K-fold cross validator for the learnable POS tagger"; } public void run(String format, String[] args) { super.run(format, args); mlParams = CmdLineUtil.loadTrainingParameters(params.getParams(), false); if (mlParams == null) { mlParams = ModelUtil.createDefaultTrainingParameters(); } POSTaggerEvaluationMonitor missclassifiedListener = null; if (params.getMisclassified()) { missclassifiedListener = new POSEvaluationErrorListener(); } POSTaggerFineGrainedReportListener reportListener = null; File reportFile = params.getReportOutputFile(); 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 createTerminationIOException(e); } } Map<String, Object> resources; try { resources = TokenNameFinderTrainerTool.loadResources(params.getResources(), params.getFeaturegen()); } catch (IOException e) { throw new TerminateToolException(-1,"IO error while loading resources", e); } byte[] featureGeneratorBytes = TokenNameFinderTrainerTool.openFeatureGeneratorBytes(params.getFeaturegen()); POSTaggerCrossValidator validator; try { validator = new POSTaggerCrossValidator(params.getLang(), mlParams, params.getDict(), featureGeneratorBytes, resources, params.getTagDictCutoff(), params.getFactory(), missclassifiedListener, reportListener); validator.evaluate(sampleStream, params.getFolds()); } catch (IOException e) { throw new TerminateToolException(-1, "IO error while reading training data or indexing data: " + e.getMessage(), e); } finally { try { sampleStream.close(); } catch (IOException e) { // sorry that this can fail } } System.out.println("done"); if (reportListener != null) { System.out.println("Writing fine-grained report to " + params.getReportOutputFile().getAbsolutePath()); reportListener.writeReport(); try { // TODO: is it a problem to close the stream now? reportOutputStream.close(); } catch (IOException e) { // nothing to do } } System.out.println(); System.out.println("Accuracy: " + validator.getWordAccuracy()); } }