/** * Save the tasks. * @param out The output file. */ private void saveTasks(final EncogWriteHelper out) { out.addSection("TASKS"); final List<String> list = new ArrayList<String>(); list.addAll(this.script.getTasks().keySet()); Collections.sort(list); for (final String key : list) { final AnalystTask task = this.script.getTask(key); out.addSubSection(task.getName()); for (final String line : task.getLines()) { out.addLine(line); } } } }
/** * {@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(); }
final EncogWriteHelper out = new EncogWriteHelper(os); final BayesianNetwork b = (BayesianNetwork) obj; out.addSection("BAYES-NETWORK"); out.addSubSection("BAYES-PARAM"); String queryType = "";
/** * Save a subsection. * @param out The output file. * @param section The section. * @param subSection The subsection. */ private void saveSubSection(final EncogWriteHelper out, final String section, final String subSection) { if (!section.equals(out.getCurrentSection())) { out.addSection(section); } out.addSubSection(subSection); final List<PropertyEntry> list = PropertyConstraints.getInstance() .getEntries(section, subSection); if (list != null) { Collections.sort(list); for (final PropertyEntry entry : list) { final String key = section + ":" + subSection + "_" + entry.getName(); final String value = this.script.getProperties() .getPropertyString(key); if (value != null) { out.writeProperty(entry.getName(), value); } else { out.writeProperty(entry.getName(), ""); } } } }
/** * {@inheritDoc} */ @Override public 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.getOutputCount()); out.flush(); }
/** * {@inheritDoc} */ @Override public void save(final OutputStream os, final Object obj) { final EncogWriteHelper out = new EncogWriteHelper(os); final HopfieldNetwork hopfield = (HopfieldNetwork) obj; out.addSection("HOPFIELD"); out.addSubSection("PARAMS"); out.addProperties(hopfield.getProperties()); out.addSubSection("NETWORK"); out.writeProperty(PersistConst.WEIGHTS, hopfield.getWeights()); out.writeProperty(PersistConst.OUTPUT, hopfield.getCurrentState() .getData()); out.writeProperty(PersistConst.NEURON_COUNT, hopfield.getNeuronCount()); out.flush(); }
/** * {@inheritDoc} */ @Override public 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(); }
final HiddenMarkovModel net = (HiddenMarkovModel) obj; out.addSection("HMM"); out.addSubSection("PARAMS"); out.addProperties(net.getProperties());
final EncogWriteHelper out = new EncogWriteHelper(os); final SVM svm2 = (SVM) obj; out.addSection("SVM"); out.addSubSection("PARAMS"); out.addProperties(svm2.getProperties());
/** * {@inheritDoc} */ @Override public 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(); }
final EncogWriteHelper out = new EncogWriteHelper(os); final BasicUniverse universe = (BasicUniverse) obj; out.addSection("BasicUniverse"); out.addSubSection("PARAMS"); out.addProperties(universe.getProperties());
final BasicNetwork net = (BasicNetwork) obj; final FlatNetwork flat = net.getStructure().getFlat(); out.addSection("BASIC"); out.addSubSection("PARAMS"); out.addProperties(net.getProperties());
final EncogWriteHelper out = new EncogWriteHelper(os); final NEATPopulation pop = (NEATPopulation) obj; out.addSection("NEAT-POPULATION"); out.addSubSection("CONFIG"); out.writeProperty(PersistConst.ACTIVATION_CYCLES,
/** * {@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(); }
final BasicFloatNetwork net = (BasicFloatNetwork) obj; final FlatNetwork flat = net.getStructure().getFlat(); out.addSection("BASIC"); out.addSubSection("PARAMS"); out.addProperties(net.getProperties());
final RBFNetwork net = (RBFNetwork) obj; final FlatNetworkRBF flat = (FlatNetworkRBF) net.getFlat(); out.addSection("RBF-NETWORK"); out.addSubSection("PARAMS"); out.addProperties(net.getProperties());
/** * {@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(); }
final PrgPopulation pop = (PrgPopulation) obj; out.addSection("BASIC"); out.addSubSection("PARAMS"); out.addProperties(pop.getProperties());
final EncogWriteHelper out = new EncogWriteHelper(os); final BasicPNN pnn = (BasicPNN) obj; out.addSection("PNN"); out.addSubSection("PARAMS"); out.addProperties(pnn.getProperties());