Package opennlp.tools.ml.maxent.io

Source Code of opennlp.tools.ml.maxent.io.QNModelReader

/*
* 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.ml.maxent.io;

import java.io.File;
import java.io.IOException;

import opennlp.tools.ml.maxent.quasinewton.QNModel;
import opennlp.tools.ml.model.Context;
import opennlp.tools.ml.model.DataReader;

public class QNModelReader extends GISModelReader {
  public QNModelReader(DataReader dataReader) {
    super(dataReader);
  }
 
  public QNModelReader(File file) throws IOException {
    super(file);
  }
 
  @Override
  public void checkModelType() throws IOException {
    String modelType = readUTF();
    if (!modelType.equals("QN"))
      System.out.println("Error: attempting to load a " + modelType
          + " model as a MAXENT_QN model." + " You should expect problems.");
  }

  public QNModel constructModel() throws IOException {
    String[] outcomeLabels = getOutcomes();
    int[][] outcomePatterns = getOutcomePatterns();
    String[] predLabels = getPredicates();
    Context[] params = getParameters(outcomePatterns);

    return new QNModel(params, predLabels, outcomeLabels);
  }
}
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