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opennlp.tools.cmdline.tokenizer.TokenizerMEEvaluatorTool 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.tokenizer;
import java.io.File;
import java.io.IOException;
import java.nio.charset.Charset;
import opennlp.tools.cmdline.CLI;
import opennlp.tools.cmdline.CmdLineTool;
import opennlp.tools.cmdline.CmdLineUtil;
import opennlp.tools.cmdline.TerminateToolException;
import opennlp.tools.tokenize.TokenSample;
import opennlp.tools.tokenize.TokenizerEvaluator;
import opennlp.tools.tokenize.TokenizerModel;
import opennlp.tools.util.ObjectStream;
public final class TokenizerMEEvaluatorTool implements CmdLineTool {
public String getName() {
return "TokenizerMEEvaluator";
}
public String getShortDescription() {
return "evaluator for the learnable tokenizer";
}
public String getHelp() {
return "Usage: " + CLI.CMD + " " + getName() + "-encoding charset -model model -data testData";
}
public void run(String[] args) {
if (args.length != 6) {
System.out.println(getHelp());
throw new TerminateToolException(1);
}
Charset encoding = CmdLineUtil.getEncodingParameter(args);
if (encoding == null) {
System.out.println(getHelp());
throw new TerminateToolException(1);
}
TokenizerModel model = new TokenizerModelLoader().load(
new File(CmdLineUtil.getParameter("-model", args)));
TokenizerEvaluator evaluator = new TokenizerEvaluator(
new opennlp.tools.tokenize.TokenizerME(model));
System.out.print("Evaluating ... ");
ObjectStream sampleStream = TokenizerTrainerTool.openSampleData(
"Test", new File(CmdLineUtil.getParameter("-data", args)), encoding);
try {
evaluator.evaluate(sampleStream);
} catch (IOException e) {
System.err.println("failed");
System.err.println("Reading test data error " + e.getMessage());
throw new TerminateToolException(-1);
} finally {
try {
sampleStream.close();
} catch (IOException e) {
// sorry that this can fail
}
}
System.out.println("done");
System.out.println();
System.out.println(evaluator.getFMeasure());
}
}
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