/*
* 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.tokenizer;
import java.io.IOException;
import opennlp.tools.cmdline.AbstractCrossValidatorTool;
import opennlp.tools.cmdline.CmdLineUtil;
import opennlp.tools.cmdline.TerminateToolException;
import opennlp.tools.cmdline.params.CVParams;
import opennlp.tools.cmdline.tokenizer.TokenizerCrossValidatorTool.CVToolParams;
import opennlp.tools.dictionary.Dictionary;
import opennlp.tools.tokenize.TokenSample;
import opennlp.tools.tokenize.TokenizerCrossValidator;
import opennlp.tools.tokenize.TokenizerEvaluationMonitor;
import opennlp.tools.tokenize.TokenizerFactory;
import opennlp.tools.util.eval.FMeasure;
import opennlp.tools.util.model.ModelUtil;
public final class TokenizerCrossValidatorTool
extends AbstractCrossValidatorTool<TokenSample, CVToolParams> {
interface CVToolParams extends CVParams, TrainingParams {
}
public TokenizerCrossValidatorTool() {
super(TokenSample.class, CVToolParams.class);
}
public String getShortDescription() {
return "K-fold cross validator for the learnable tokenizer";
}
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());
}
TokenizerCrossValidator validator;
TokenizerEvaluationMonitor listener = null;
if (params.getMisclassified()) {
listener = new TokenEvaluationErrorListener();
}
try {
Dictionary dict = TokenizerTrainerTool.loadDict(params.getAbbDict());
TokenizerFactory tokFactory = TokenizerFactory.create(
params.getFactory(), params.getLang(), dict,
params.getAlphaNumOpt(), null);
validator = new opennlp.tools.tokenize.TokenizerCrossValidator(mlParams,
tokFactory, listener);
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
}
}
FMeasure result = validator.getFMeasure();
System.out.println(result.toString());
}
}