Package opennlp.tools.cmdline.postag

Source Code of opennlp.tools.cmdline.postag.POSTaggerCrossValidatorTool$CVToolParams

/*
* 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.postag;

import java.io.File;
import java.io.FileNotFoundException;
import java.io.FileOutputStream;
import java.io.IOException;
import java.io.OutputStream;

import opennlp.tools.cmdline.AbstractCrossValidatorTool;
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.CVParams;
import opennlp.tools.cmdline.postag.POSTaggerCrossValidatorTool.CVToolParams;
import opennlp.tools.postag.POSSample;
import opennlp.tools.postag.POSTaggerCrossValidator;
import opennlp.tools.postag.POSTaggerEvaluationMonitor;
import opennlp.tools.util.model.ModelUtil;

public final class POSTaggerCrossValidatorTool
    extends AbstractCrossValidatorTool<POSSample, CVToolParams> {
 
  interface CVToolParams extends CVParams, TrainingParams {
    @ParameterDescription(valueName = "outputFile",
        description = "the path of the fine-grained report file.")
    @OptionalParameter
    File getReportOutputFile();
  }

  public POSTaggerCrossValidatorTool() {
    super(POSSample.class, CVToolParams.class);
  }

  public String getShortDescription() {
    return "K-fold cross validator for the learnable POS tagger";
  }

  public void run(String format, String[] args) {
    super.run(format, args);

    mlParams = CmdLineUtil.loadTrainingParameters(params.getParams(), false);
    if (mlParams == null) {
      mlParams = ModelUtil.createTrainingParameters(params.getIterations(), params.getCutoff());
    }

    POSTaggerEvaluationMonitor missclassifiedListener = null;
    if (params.getMisclassified()) {
      missclassifiedListener = new POSEvaluationErrorListener();
    }

    POSTaggerFineGrainedReportListener 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 POSTaggerFineGrainedReportListener(
            reportOutputStream);
      } catch (FileNotFoundException e) {
        throw new TerminateToolException(-1,
            "IO error while creating POS Tagger fine-grained report file: "
                + e.getMessage());
      }
    }

    POSTaggerCrossValidator validator;
    try {
      validator = new POSTaggerCrossValidator(params.getLang(), mlParams,
          params.getDict(), params.getNgram(), params.getTagDictCutoff(),
          params.getFactory(), missclassifiedListener, reportListener);
     
      validator.evaluate(sampleStream, params.getFolds());
    } catch (IOException e) {
      throw new TerminateToolException(-1, "IO error while reading training data or indexing 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: " + validator.getWordAccuracy());
  }
}
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