/*
* 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());
}
}