/* * 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.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 int getFileVersion() { return 1; } /** * {@inheritDoc} */ @Override public String getPersistClassString() { return "TrainingContinuation"; } /** * {@inheritDoc} */ @Override public 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 = section .parseDoubleArray(params, key); result.put(key, list); } } } } return result; } /** * {@inheritDoc} */ @Override public 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(); } }