/*
* 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.chunker;
import java.io.IOException;
import java.util.LinkedList;
import java.util.List;
import opennlp.tools.chunker.ChunkSample;
import opennlp.tools.chunker.ChunkerCrossValidator;
import opennlp.tools.chunker.ChunkerEvaluationMonitor;
import opennlp.tools.chunker.ChunkerFactory;
import opennlp.tools.cmdline.AbstractCrossValidatorTool;
import opennlp.tools.cmdline.CmdLineUtil;
import opennlp.tools.cmdline.TerminateToolException;
import opennlp.tools.cmdline.chunker.ChunkerCrossValidatorTool.CVToolParams;
import opennlp.tools.cmdline.params.CVParams;
import opennlp.tools.cmdline.params.DetailedFMeasureEvaluatorParams;
import opennlp.tools.util.eval.EvaluationMonitor;
import opennlp.tools.util.eval.FMeasure;
import opennlp.tools.util.model.ModelUtil;
public final class ChunkerCrossValidatorTool
extends AbstractCrossValidatorTool<ChunkSample, CVToolParams> {
interface CVToolParams extends TrainingParams, CVParams, DetailedFMeasureEvaluatorParams {
}
public ChunkerCrossValidatorTool() {
super(ChunkSample.class, CVToolParams.class);
}
public String getShortDescription() {
return "K-fold cross validator for the chunker";
}
public void run(String format, String[] args) {
super.run(format, args);
mlParams = CmdLineUtil.loadTrainingParameters(params.getParams(), false);
if (mlParams == null) {
mlParams = ModelUtil.createTrainingParameters(params.getIterations(),
params.getCutoff());
}
List<EvaluationMonitor<ChunkSample>> listeners = new LinkedList<EvaluationMonitor<ChunkSample>>();
ChunkerDetailedFMeasureListener detailedFMeasureListener = null;
if (params.getMisclassified()) {
listeners.add(new ChunkEvaluationErrorListener());
}
if (params.getDetailedF()) {
detailedFMeasureListener = new ChunkerDetailedFMeasureListener();
listeners.add(detailedFMeasureListener);
}
ChunkerCrossValidator validator;
try {
ChunkerFactory chunkerFactory = ChunkerFactory
.create(params.getFactory());
validator = new ChunkerCrossValidator(params.getLang(), mlParams,
chunkerFactory,
listeners.toArray(new ChunkerEvaluationMonitor[listeners.size()]));
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
}
}
if (detailedFMeasureListener == null) {
FMeasure result = validator.getFMeasure();
System.out.println(result.toString());
} else {
System.out.println(detailedFMeasureListener.toString());
}
}
}