/* * Encog(tm) Core v3.4 - Java Version * http://www.heatonresearch.com/encog/ * https://github.com/encog/encog-java-core * Copyright 2008-2016 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(); } }