opennlp.tools.cmdline.parser.ParserEvaluatorTool 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.parser;
import java.io.IOException;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import opennlp.tools.cmdline.AbstractEvaluatorTool;
import opennlp.tools.cmdline.TerminateToolException;
import opennlp.tools.cmdline.params.EvaluatorParams;
import opennlp.tools.parser.Parse;
import opennlp.tools.parser.Parser;
import opennlp.tools.parser.ParserEvaluator;
import opennlp.tools.parser.ParserFactory;
import opennlp.tools.parser.ParserModel;
/**
* A default {@link Parse}-centric implementation of {@link AbstractEvaluatorTool}
* that prints to an output stream.
*
* @see AbstractEvaluatorTool
* @see EvaluatorParams
*/
public class ParserEvaluatorTool extends AbstractEvaluatorTool {
private static final Logger logger = LoggerFactory.getLogger(ParserEvaluatorTool.class);
public ParserEvaluatorTool() {
super(Parse.class, EvaluatorParams.class);
}
@Override
public String getShortDescription() {
return "Measures the performance of the Parser model with the reference data";
}
@Override
public void run(String format, String[] args) {
super.run(format, args);
ParserModel model = new ParserModelLoader().load(params.getModel());
Parser parser = ParserFactory.create(model);
ParserEvaluator evaluator = new ParserEvaluator(parser);
logger.info("Evaluating ... ");
try {
evaluator.evaluate(sampleStream);
}
catch (IOException e) {
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
}
}
logger.info("done");
logger.info(evaluator.getFMeasure().toString());
}
}