/*
* Encog(tm) Core v3.3 - Java Version
* http://www.heatonresearch.com/encog/
* https://github.com/encog/encog-java-core
* Copyright 2008-2014 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.thermal;
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;
import org.encog.persist.PersistConst;
import org.encog.util.csv.CSVFormat;
import org.encog.util.csv.NumberList;
/**
* Persist the Boltzmann machine.
*
*/
public class PersistBoltzmann implements EncogPersistor {
/**
* {@inheritDoc}
*/
@Override
public int getFileVersion() {
return 1;
}
/**
* {@inheritDoc}
*/
@Override
public String getPersistClassString() {
return "BoltzmannMachine";
}
/**
* {@inheritDoc}
*/
@Override
public Object read(final InputStream is) {
final BoltzmannMachine result = new BoltzmannMachine();
final EncogReadHelper in = new EncogReadHelper(is);
EncogFileSection section;
while ((section = in.readNextSection()) != null) {
if (section.getSectionName().equals("BOLTZMANN")
&& section.getSubSectionName().equals("PARAMS")) {
final Map<String, String> params = section.parseParams();
result.getProperties().putAll(params);
}
if (section.getSectionName().equals("BOLTZMANN")
&& section.getSubSectionName().equals("NETWORK")) {
final Map<String, String> params = section.parseParams();
result.setWeights(NumberList.fromList(CSVFormat.EG_FORMAT,
params.get(PersistConst.WEIGHTS)));
result.setCurrentState(NumberList.fromList(CSVFormat.EG_FORMAT,
params.get(PersistConst.OUTPUT)));
result.setNeuronCount(EncogFileSection.parseInt(params,
PersistConst.NEURON_COUNT));
result.setThreshold(NumberList.fromList(CSVFormat.EG_FORMAT,
params.get(PersistConst.THRESHOLDS)));
result.setAnnealCycles(EncogFileSection.parseInt(params,
BoltzmannMachine.ANNEAL_CYCLES));
result.setRunCycles(EncogFileSection.parseInt(params,
BoltzmannMachine.RUN_CYCLES));
result.setTemperature(EncogFileSection.parseDouble(params,
PersistConst.TEMPERATURE));
}
}
return result;
}
/**
* {@inheritDoc}
*/
@Override
public void save(final OutputStream os, final Object obj) {
final EncogWriteHelper out = new EncogWriteHelper(os);
final BoltzmannMachine boltz = (BoltzmannMachine) obj;
out.addSection("BOLTZMANN");
out.addSubSection("PARAMS");
out.addProperties(boltz.getProperties());
out.addSubSection("NETWORK");
out.writeProperty(PersistConst.WEIGHTS, boltz.getWeights());
out.writeProperty(PersistConst.OUTPUT, boltz.getCurrentState()
.getData());
out.writeProperty(PersistConst.NEURON_COUNT, boltz.getNeuronCount());
out.writeProperty(PersistConst.THRESHOLDS, boltz.getThreshold());
out.writeProperty(BoltzmannMachine.ANNEAL_CYCLES,
boltz.getAnnealCycles());
out.writeProperty(BoltzmannMachine.RUN_CYCLES, boltz.getRunCycles());
out.writeProperty(PersistConst.TEMPERATURE, boltz.getTemperature());
out.flush();
}
}