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opennlp.tools.cmdline.chunker.ChunkerEvaluatorTool 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.chunker;
import java.io.File;
import java.io.IOException;
import java.nio.charset.Charset;
import opennlp.tools.chunker.ChunkSample;
import opennlp.tools.chunker.ChunkerEvaluator;
import opennlp.tools.chunker.ChunkerME;
import opennlp.tools.chunker.ChunkerModel;
import opennlp.tools.cmdline.ArgumentParser;
import opennlp.tools.cmdline.ArgumentParser.OptionalParameter;
import opennlp.tools.cmdline.ArgumentParser.ParameterDescription;
import opennlp.tools.cmdline.CLI;
import opennlp.tools.cmdline.CmdLineTool;
import opennlp.tools.cmdline.CmdLineUtil;
import opennlp.tools.cmdline.PerformanceMonitor;
import opennlp.tools.cmdline.TerminateToolException;
import opennlp.tools.util.ObjectStream;
public final class ChunkerEvaluatorTool implements CmdLineTool {
/**
* Create a list of expected parameters.
*/
interface Parameters {
@ParameterDescription(valueName = "charsetName")
@OptionalParameter(defaultValue="UTF-8")
String getEncoding();
@ParameterDescription(valueName = "model")
String getModel();
@ParameterDescription(valueName = "data")
String getData();
}
public String getName() {
return "ChunkerEvaluator";
}
public String getShortDescription() {
return "Measures the performance of the Chunker model with the reference data";
}
public String getHelp() {
return "Usage: " + CLI.CMD + " " + getName() + " " + ArgumentParser.createUsage(Parameters.class);
}
public void run(String[] args) {
if (!ArgumentParser.validateArguments(args, Parameters.class)) {
System.err.println(getHelp());
throw new TerminateToolException(1);
}
Parameters params = ArgumentParser.parse(args, Parameters.class);
File testData = new File(params.getData());
CmdLineUtil.checkInputFile("Test data", testData);
Charset encoding = Charset.forName(params.getEncoding());
if (encoding == null) {
System.out.println(getHelp());
throw new TerminateToolException(1);
}
ChunkerModel model = new ChunkerModelLoader().load(new File(params.getModel()));
ChunkerEvaluator evaluator = new ChunkerEvaluator(new ChunkerME(model));
final ObjectStream sampleStream = ChunkerTrainerTool.openSampleData("Test",
testData, encoding);
final PerformanceMonitor monitor = new PerformanceMonitor("sent");
ObjectStream measuredSampleStream = new ObjectStream() {
public ChunkSample read() throws IOException {
monitor.incrementCounter();
return sampleStream.read();
}
public void reset() throws IOException {
sampleStream.reset();
}
public void close() throws IOException {
sampleStream.close();
}
};
monitor.startAndPrintThroughput();
try {
evaluator.evaluate(measuredSampleStream);
} catch (IOException e) {
System.err.println("failed");
System.err.println("Reading test data error " + e.getMessage());
throw new TerminateToolException(-1);
} finally {
try {
measuredSampleStream.close();
} catch (IOException e) {
// sorry that this can fail
}
}
monitor.stopAndPrintFinalResult();
System.out.println();
System.out.println(evaluator.getFMeasure());
}
}
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