/*
* 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.File;
import java.io.IOException;
import java.nio.charset.Charset;
import opennlp.tools.cmdline.ArgumentParser;
import opennlp.tools.cmdline.CLI;
import opennlp.tools.cmdline.CmdLineTool;
import opennlp.tools.cmdline.CmdLineUtil;
import opennlp.tools.cmdline.TerminateToolException;
import opennlp.tools.cmdline.params.CVParams;
import opennlp.tools.dictionary.Dictionary;
import opennlp.tools.tokenize.TokenSample;
import opennlp.tools.tokenize.TokenizerCrossValidator;
import opennlp.tools.tokenize.TokenizerEvaluationMonitor;
import opennlp.tools.util.ObjectStream;
import opennlp.tools.util.eval.FMeasure;
public final class TokenizerCrossValidatorTool implements CmdLineTool {
interface CVToolParams extends CVParams, TrainingParams {
}
public String getName() {
return "TokenizerCrossValidator";
}
public String getShortDescription() {
return "K-fold cross validator for the learnable tokenizer";
}
public String getHelp() {
return "Usage: " + CLI.CMD + " " + getName() + " "
+ ArgumentParser.createUsage(CVToolParams.class);
}
public void run(String[] args) {
if (!ArgumentParser.validateArguments(args, CVToolParams.class)) {
System.err.println(getHelp());
throw new TerminateToolException(1);
}
CVToolParams params = ArgumentParser.parse(args, CVToolParams.class);
opennlp.tools.util.TrainingParameters mlParams = CmdLineUtil
.loadTrainingParameters(params.getParams(), false);
File trainingDataInFile = params.getData();
CmdLineUtil.checkInputFile("Training Data", trainingDataInFile);
Charset encoding = params.getEncoding();
ObjectStream<TokenSample> sampleStream =
TokenizerTrainerTool.openSampleData("Training Data",
trainingDataInFile, encoding);
TokenizerCrossValidator validator;
if (mlParams == null)
mlParams = TokenizerTrainerTool.createTrainingParameters(
params.getIterations(), params.getCutoff());
TokenizerEvaluationMonitor listener = null;
if (params.getMisclassified()) {
listener = new TokenEvaluationErrorListener();
}
try {
Dictionary dict = TokenizerTrainerTool.loadDict(params.getAbbDict());
validator = new opennlp.tools.tokenize.TokenizerCrossValidator(
params.getLang(), dict, params.getAlphaNumOpt(), mlParams, listener);
validator.evaluate(sampleStream, params.getFolds());
}
catch (IOException e) {
CmdLineUtil.printTrainingIoError(e);
throw new TerminateToolException(-1);
}
finally {
try {
sampleStream.close();
} catch (IOException e) {
// sorry that this can fail
}
}
FMeasure result = validator.getFMeasure();
System.out.println(result.toString());
}
}