opennlp.tools.cmdline.lemmatizer.LemmatizerEvaluatorTool Maven / Gradle / Ivy
/*
* 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.lemmatizer;
import java.io.File;
import java.io.FileNotFoundException;
import java.io.FileOutputStream;
import java.io.IOException;
import java.io.OutputStream;
import opennlp.tools.cmdline.AbstractEvaluatorTool;
import opennlp.tools.cmdline.ArgumentParser.OptionalParameter;
import opennlp.tools.cmdline.ArgumentParser.ParameterDescription;
import opennlp.tools.cmdline.CmdLineUtil;
import opennlp.tools.cmdline.TerminateToolException;
import opennlp.tools.cmdline.params.EvaluatorParams;
import opennlp.tools.lemmatizer.LemmaSample;
import opennlp.tools.lemmatizer.LemmatizerEvaluationMonitor;
import opennlp.tools.lemmatizer.LemmatizerEvaluator;
import opennlp.tools.lemmatizer.LemmatizerModel;
public final class LemmatizerEvaluatorTool
extends AbstractEvaluatorTool {
public LemmatizerEvaluatorTool() {
super(LemmaSample.class, EvalToolParams.class);
}
public String getShortDescription() {
return "Measures the performance of the Lemmatizer model with the reference data";
}
public void run(String format, String[] args) {
super.run(format, args);
LemmatizerModel model = new LemmatizerModelLoader().load(params.getModel());
LemmatizerEvaluationMonitor missclassifiedListener = null;
if (params.getMisclassified()) {
missclassifiedListener = new LemmaEvaluationErrorListener();
}
LemmatizerFineGrainedReportListener 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 LemmatizerFineGrainedReportListener(
reportOutputStream);
} catch (FileNotFoundException e) {
throw new TerminateToolException(-1,
"IO error while creating Lemmatizer fine-grained report file: "
+ e.getMessage());
}
}
LemmatizerEvaluator evaluator = new LemmatizerEvaluator(
new opennlp.tools.lemmatizer.LemmatizerME(model),
missclassifiedListener, reportListener);
System.out.print("Evaluating ... ");
try {
evaluator.evaluate(sampleStream);
} catch (IOException e) {
System.err.println("failed");
throw new TerminateToolException(-1,
"IO error while reading test 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: " + evaluator.getWordAccuracy());
}
interface EvalToolParams extends EvaluatorParams {
@ParameterDescription(valueName = "outputFile", description = "the path of the fine-grained report file.")
@OptionalParameter
File getReportOutputFile();
}
}