/*
* 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.maxent.io;
import java.io.IOException;
import opennlp.maxent.quasinewton.QNModel;
import opennlp.model.AbstractModel;
import opennlp.model.AbstractModelWriter;
import opennlp.model.Context;
import opennlp.model.IndexHashTable;
public abstract class QNModelWriter extends AbstractModelWriter {
protected String[] outcomeNames;
protected String[] predNames;
protected Context[] params;
protected double[] predParams;
//protected EvalParameters evalParam;
protected IndexHashTable<String> pmap;
protected double[] parameters;
@SuppressWarnings("unchecked")
public QNModelWriter(AbstractModel model) {
Object[] data = model.getDataStructures();
params = (Context[]) data[0];
pmap = (IndexHashTable<String>) data[1];
outcomeNames = (String[]) data[2];
QNModel qnModel = (QNModel) model;
parameters = qnModel.getParameters();
}
@Override
public void persist() throws IOException {
// the type of model (QN)
writeUTF("QN");
// predNames
predNames = new String[pmap.size()];
pmap.toArray(predNames);
writeInt(predNames.length);
for (int i = 0; i < predNames.length; i++)
writeUTF(predNames[i]);
// outcomeNames
writeInt(outcomeNames.length);
for (int i = 0; i < outcomeNames.length; i++)
writeUTF(outcomeNames[i]);
// parameters
writeInt(params.length);
for (Context currContext : params) {
writeInt(currContext.getOutcomes().length);
for (int i = 0; i < currContext.getOutcomes().length; i++) {
writeInt(currContext.getOutcomes()[i]);
}
writeInt(currContext.getParameters().length);
for (int i = 0; i < currContext.getParameters().length; i++) {
writeDouble(currContext.getParameters()[i]);
}
}
// parameters 2
writeInt(parameters.length);
for (int i = 0; i < parameters.length; i++)
writeDouble(parameters[i]);
close();
}
}