/*
* Encog(tm) Core v3.0 - Java Version
* http://www.heatonresearch.com/encog/
* http://code.google.com/p/encog-java/
* Copyright 2008-2011 Heaton Research, Inc.
*
* Licensed 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.
*
* For more information on Heaton Research copyrights, licenses
* and trademarks visit:
* http://www.heatonresearch.com/copyright
*/
package org.encog.neural.networks.training.propagation;
import java.io.InputStream;
import java.io.OutputStream;
import java.util.Map;
import org.encog.persist.EncogFileSection;
import org.encog.persist.EncogPersistor;
import org.encog.persist.EncogReadHelper;
import org.encog.persist.EncogWriteHelper;
/**
* Persist the training continuation.
*
*/
public class PersistTrainingContinuation implements EncogPersistor {
/**
* {@inheritDoc}
*/
@Override
public final int getFileVersion() {
return 1;
}
/**
* {@inheritDoc}
*/
@Override
public final String getPersistClassString() {
return "TrainingContinuation";
}
/**
* {@inheritDoc}
*/
@Override
public final Object read(final InputStream is) {
final TrainingContinuation result = new TrainingContinuation();
final EncogReadHelper in = new EncogReadHelper(is);
EncogFileSection section;
while ((section = in.readNextSection()) != null) {
if (section.getSectionName().equals("CONT")
&& section.getSubSectionName().equals("PARAMS")) {
final Map<String, String> params = section.parseParams();
for (final String key : params.keySet()) {
if (key.equalsIgnoreCase("type")) {
result.setTrainingType(params.get(key));
} else {
final double[] list = EncogFileSection
.parseDoubleArray(params, key);
result.put(key, list);
}
}
}
}
return result;
}
/**
* {@inheritDoc}
*/
@Override
public final void save(final OutputStream os, final Object obj) {
final EncogWriteHelper out = new EncogWriteHelper(os);
final TrainingContinuation cont = (TrainingContinuation) obj;
out.addSection("CONT");
out.addSubSection("PARAMS");
out.writeProperty("type", cont.getTrainingType());
for (final String key : cont.getContents().keySet()) {
final double[] list = (double[]) cont.get(key);
out.writeProperty(key, list);
}
out.flush();
}
}