/*
* 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.namefind;
import java.io.IOException;
import java.util.LinkedList;
import java.util.List;
import java.util.Map;
import opennlp.tools.cmdline.AbstractCrossValidatorTool;
import opennlp.tools.cmdline.CmdLineUtil;
import opennlp.tools.cmdline.TerminateToolException;
import opennlp.tools.cmdline.namefind.TokenNameFinderCrossValidatorTool.CVToolParams;
import opennlp.tools.cmdline.params.CVParams;
import opennlp.tools.cmdline.params.DetailedFMeasureEvaluatorParams;
import opennlp.tools.namefind.NameSample;
import opennlp.tools.namefind.TokenNameFinderCrossValidator;
import opennlp.tools.namefind.TokenNameFinderEvaluationMonitor;
import opennlp.tools.util.eval.EvaluationMonitor;
import opennlp.tools.util.model.ModelUtil;
public final class TokenNameFinderCrossValidatorTool
extends AbstractCrossValidatorTool<NameSample, CVToolParams> {
interface CVToolParams extends TrainingParams, CVParams, DetailedFMeasureEvaluatorParams {
}
public TokenNameFinderCrossValidatorTool() {
super(NameSample.class, CVToolParams.class);
}
public String getShortDescription() {
return "K-fold cross validator for the learnable Name Finder";
}
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());
}
byte featureGeneratorBytes[] =
TokenNameFinderTrainerTool.openFeatureGeneratorBytes(params.getFeaturegen());
Map<String, Object> resources =
TokenNameFinderTrainerTool.loadResources(params.getResources());
List<EvaluationMonitor<NameSample>> listeners = new LinkedList<EvaluationMonitor<NameSample>>();
if (params.getMisclassified()) {
listeners.add(new NameEvaluationErrorListener());
}
TokenNameFinderDetailedFMeasureListener detailedFListener = null;
if (params.getDetailedF()) {
detailedFListener = new TokenNameFinderDetailedFMeasureListener();
listeners.add(detailedFListener);
}
TokenNameFinderCrossValidator validator;
try {
validator = new TokenNameFinderCrossValidator(params.getLang(),
params.getType(), mlParams, featureGeneratorBytes, resources,
listeners.toArray(new TokenNameFinderEvaluationMonitor[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
}
}
System.out.println("done");
System.out.println();
if(detailedFListener == null) {
System.out.println(validator.getFMeasure());
} else {
System.out.println(detailedFListener.toString());
}
}
}