/** {@inheritDoc} */
@Override
public final void save(final OutputStream os, final Object obj) {
final EncogWriteHelper out = new EncogWriteHelper(os);
final SOM som = (SOM) obj;
out.addSection("SOM");
out.addSubSection("PARAMS");
out.addProperties(som.getProperties());
out.addSubSection("NETWORK");
out.writeProperty(PersistConst.WEIGHTS, som.getWeights());
out.writeProperty(PersistConst.INPUT_COUNT, som.getInputCount());
out.writeProperty(PersistConst.OUTPUT_COUNT, som.getOutputNeuronCount());
out.flush();
}
/** {@inheritDoc} */
@Override
public final void save(final OutputStream os, final Object obj) {
final EncogWriteHelper out = new EncogWriteHelper(os);
final BAM bam = (BAM) obj;
out.addSection("BAM");
out.addSubSection("PARAMS");
out.addProperties(bam.getProperties());
out.addSubSection("NETWORK");
out.writeProperty(PersistConst.PROPERTY_F1_COUNT, bam.getF1Count());
out.writeProperty(PersistConst.PROPERTY_F2_COUNT, bam.getF2Count());
out.writeProperty(PersistConst.PROPERTY_WEIGHTS_F1_F2, bam.getWeightsF1toF2());
out.writeProperty(PersistConst.PROPERTY_WEIGHTS_F2_F1, bam.getWeightsF2toF1());
out.flush();
}
/** {@inheritDoc} */
@Override
public void save(final OutputStream os, final Object obj) {
final EncogWriteHelper out = new EncogWriteHelper(os);
final RBFNetwork net = (RBFNetwork) obj;
final FlatNetworkRBF flat = (FlatNetworkRBF) net.getFlat();
out.addSection("RBF-NETWORK");
out.addSubSection("PARAMS");
out.addProperties(net.getProperties());
out.addSubSection("NETWORK");
out.writeProperty(BasicNetwork.TAG_BEGIN_TRAINING, flat.getBeginTraining());
out.writeProperty(BasicNetwork.TAG_CONNECTION_LIMIT, flat.getConnectionLimit());
out.writeProperty(BasicNetwork.TAG_CONTEXT_TARGET_OFFSET, flat.getContextTargetOffset());
out.writeProperty(BasicNetwork.TAG_CONTEXT_TARGET_SIZE, flat.getContextTargetSize());
out.writeProperty(BasicNetwork.TAG_END_TRAINING, flat.getEndTraining());
out.writeProperty(BasicNetwork.TAG_HAS_CONTEXT, flat.getHasContext());
out.writeProperty(PersistConst.INPUT_COUNT, flat.getInputCount());
out.writeProperty(BasicNetwork.TAG_LAYER_COUNTS, flat.getLayerCounts());
out.writeProperty(BasicNetwork.TAG_LAYER_FEED_COUNTS, flat.getLayerFeedCounts());
out.writeProperty(BasicNetwork.TAG_LAYER_CONTEXT_COUNT, flat.getLayerContextCount());
out.writeProperty(BasicNetwork.TAG_LAYER_INDEX, flat.getLayerIndex());
out.writeProperty(PersistConst.OUTPUT, flat.getLayerOutput());
out.writeProperty(PersistConst.OUTPUT_COUNT, flat.getOutputCount());
out.writeProperty(BasicNetwork.TAG_WEIGHT_INDEX, flat.getWeightIndex());
out.writeProperty(PersistConst.WEIGHTS, flat.getWeights());
out.writeProperty(BasicNetwork.TAG_BIAS_ACTIVATION, flat.getBiasActivation());
out.addSubSection("ACTIVATION");
for (final ActivationFunction af : flat.getActivationFunctions()) {
out.addColumn(af.getClass().getSimpleName());
for (int i = 0; i < af.getParams().length; i++) {
out.addColumn(af.getParams()[i]);
}
out.writeLine();
}
out.addSubSection("RBF");
for (final RadialBasisFunction rbf : flat.getRBF()) {
out.addColumn(rbf.getClass().getSimpleName());
out.addColumn(rbf.getWidth());
out.addColumn(rbf.getPeak());
for (int i = 0; i < rbf.getCenters().length; i++) {
out.addColumn(rbf.getCenters()[i]);
}
out.writeLine();
}
out.flush();
}
/** {@inheritDoc} */
@Override
public final void save(final OutputStream os, final Object obj) {
final EncogWriteHelper out = new EncogWriteHelper(os);
final CPN cpn = (CPN) obj;
out.addSection("CPN");
out.addSubSection("PARAMS");
out.addProperties(cpn.getProperties());
out.addSubSection("NETWORK");
out.writeProperty(PersistConst.INPUT_COUNT, cpn.getInputCount());
out.writeProperty(PersistConst.INSTAR, cpn.getInstarCount());
out.writeProperty(PersistConst.OUTPUT_COUNT, cpn.getOutputCount());
out.writeProperty(PersistCPN.PROPERTY_inputToInstar, cpn.getWeightsInputToInstar());
out.writeProperty(PersistCPN.PROPERTY_instarToInput, cpn.getWeightsInstarToOutstar());
out.writeProperty(PersistCPN.PROPERTY_winnerCount, cpn.getWinnerCount());
out.flush();
}
/** {@inheritDoc} */
@Override
public void save(final OutputStream os, final Object obj) {
final EncogWriteHelper out = new EncogWriteHelper(os);
final BasicNetwork net = (BasicNetwork) obj;
final FlatNetwork flat = net.getStructure().getFlat();
out.addSection("BASIC");
out.addSubSection("PARAMS");
out.addProperties(net.getProperties());
out.addSubSection("NETWORK");
out.writeProperty(BasicNetwork.TAG_BEGIN_TRAINING, flat.getBeginTraining());
out.writeProperty(BasicNetwork.TAG_CONNECTION_LIMIT, flat.getConnectionLimit());
out.writeProperty(BasicNetwork.TAG_CONTEXT_TARGET_OFFSET, flat.getContextTargetOffset());
out.writeProperty(BasicNetwork.TAG_CONTEXT_TARGET_SIZE, flat.getContextTargetSize());
out.writeProperty(BasicNetwork.TAG_END_TRAINING, flat.getEndTraining());
out.writeProperty(BasicNetwork.TAG_HAS_CONTEXT, flat.getHasContext());
out.writeProperty(PersistConst.INPUT_COUNT, flat.getInputCount());
out.writeProperty(BasicNetwork.TAG_LAYER_COUNTS, flat.getLayerCounts());
out.writeProperty(BasicNetwork.TAG_LAYER_FEED_COUNTS, flat.getLayerFeedCounts());
out.writeProperty(BasicNetwork.TAG_LAYER_CONTEXT_COUNT, flat.getLayerContextCount());
out.writeProperty(BasicNetwork.TAG_LAYER_INDEX, flat.getLayerIndex());
out.writeProperty(PersistConst.OUTPUT, flat.getLayerOutput());
out.writeProperty(PersistConst.OUTPUT_COUNT, flat.getOutputCount());
out.writeProperty(BasicNetwork.TAG_WEIGHT_INDEX, flat.getWeightIndex());
out.writeProperty(PersistConst.WEIGHTS, flat.getWeights());
out.writeProperty(BasicNetwork.TAG_BIAS_ACTIVATION, flat.getBiasActivation());
out.addSubSection("ACTIVATION");
for (final ActivationFunction af : flat.getActivationFunctions()) {
String sn = af.getClass().getSimpleName();
// if this is an Encog class then only add the simple name, so it works with C#
if (sn.startsWith("org.encog.")) {
out.addColumn(sn);
} else {
out.addColumn(af.getClass().getName());
}
for (int i = 0; i < af.getParams().length; i++) {
out.addColumn(af.getParams()[i]);
}
out.writeLine();
}
out.flush();
}
/** {@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();
}
/** {@inheritDoc} */
@Override
public void save(final OutputStream os, final Object obj) {
final EncogWriteHelper out = new EncogWriteHelper(os);
final ART1 art1 = (ART1) obj;
out.addSection("ART1");
out.addSubSection("PARAMS");
out.addProperties(art1.getProperties());
out.addSubSection("NETWORK");
out.writeProperty(ART.PROPERTY_A1, art1.getA1());
out.writeProperty(ART.PROPERTY_B1, art1.getB1());
out.writeProperty(ART.PROPERTY_C1, art1.getC1());
out.writeProperty(ART.PROPERTY_D1, art1.getD1());
out.writeProperty(PersistConst.PROPERTY_F1_COUNT, art1.getF1Count());
out.writeProperty(PersistConst.PROPERTY_F2_COUNT, art1.getF2Count());
out.writeProperty(ART.PROPERTY_NO_WINNER, art1.getNoWinner());
out.writeProperty(ART.PROPERTY_L, art1.getL());
out.writeProperty(ART.PROPERTY_VIGILANCE, art1.getVigilance());
out.writeProperty(PersistConst.PROPERTY_WEIGHTS_F1_F2, art1.getWeightsF1toF2());
out.writeProperty(PersistConst.PROPERTY_WEIGHTS_F2_F1, art1.getWeightsF2toF1());
out.flush();
}
/** {@inheritDoc} */
@Override
public final void save(final OutputStream os, final Object obj) {
final EncogWriteHelper out = new EncogWriteHelper(os);
final BayesianNetwork b = (BayesianNetwork) obj;
out.addSection("BAYES-NETWORK");
out.addSubSection("BAYES-PARAM");
String queryType = "";
String queryStr = b.getClassificationStructure();
if (b.getQuery() != null) {
queryType = b.getQuery().getClass().getSimpleName();
}
out.writeProperty("queryType", queryType);
out.writeProperty("query", queryStr);
out.writeProperty("contents", b.getContents());
out.addSubSection("BAYES-PROPERTIES");
out.addProperties(b.getProperties());
out.addSubSection("BAYES-TABLE");
for (BayesianEvent event : b.getEvents()) {
for (TableLine line : event.getTable().getLines()) {
if (line == null) continue;
StringBuilder str = new StringBuilder();
str.append("P(");
str.append(BayesianEvent.formatEventName(event, line.getResult()));
if (event.getParents().size() > 0) {
str.append("|");
}
int index = 0;
boolean first = true;
for (BayesianEvent parentEvent : event.getParents()) {
if (!first) {
str.append(",");
}
first = false;
int arg = line.getArguments()[index++];
if (parentEvent.isBoolean()) {
if (arg == 0) {
str.append("+");
} else {
str.append("-");
}
}
str.append(parentEvent.getLabel());
if (!parentEvent.isBoolean()) {
str.append("=");
if (arg >= parentEvent.getChoices().size()) {
throw new BayesianError(
"Argument value " + arg + " is out of range for event " + parentEvent.toString());
}
str.append(parentEvent.getChoice(arg));
}
}
str.append(")=");
str.append(line.getProbability());
str.append("\n");
out.write(str.toString());
}
}
out.flush();
}