opennlp.tools.ml.maxent.io.QNModelReader 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.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);
}
}