Package org.encog.persist

Examples of org.encog.persist.EncogWriteHelper.addColumn()

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    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();
    }
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        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.flush();
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    out.writeProperty(PersistConst.DEPTH, neat.getNetworkDepth());
    out.writeProperty(PersistConst.SNAPSHOT, neat.isSnapshot());
   
    out.addSubSection("NEURONS");
    for (NEATNeuron neatNeuron : neat.getNeurons() ) {
      out.addColumn(neatNeuron.getNeuronID());
      out.addColumn(PersistNEATPopulation.neuronTypeToString(neatNeuron.getNeuronType()));
      out.addColumn(neatNeuron.getActivationResponse());
      out.addColumn(neatNeuron.getSplitX());
      out.addColumn(neatNeuron.getSplitY());
      out.writeLine();
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    out.writeProperty(PersistConst.SNAPSHOT, neat.isSnapshot());
   
    out.addSubSection("NEURONS");
    for (NEATNeuron neatNeuron : neat.getNeurons() ) {
      out.addColumn(neatNeuron.getNeuronID());
      out.addColumn(PersistNEATPopulation.neuronTypeToString(neatNeuron.getNeuronType()));
      out.addColumn(neatNeuron.getActivationResponse());
      out.addColumn(neatNeuron.getSplitX());
      out.addColumn(neatNeuron.getSplitY());
      out.writeLine();
    }
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    out.addSubSection("NEURONS");
    for (NEATNeuron neatNeuron : neat.getNeurons() ) {
      out.addColumn(neatNeuron.getNeuronID());
      out.addColumn(PersistNEATPopulation.neuronTypeToString(neatNeuron.getNeuronType()));
      out.addColumn(neatNeuron.getActivationResponse());
      out.addColumn(neatNeuron.getSplitX());
      out.addColumn(neatNeuron.getSplitY());
      out.writeLine();
    }
   
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    out.addSubSection("NEURONS");
    for (NEATNeuron neatNeuron : neat.getNeurons() ) {
      out.addColumn(neatNeuron.getNeuronID());
      out.addColumn(PersistNEATPopulation.neuronTypeToString(neatNeuron.getNeuronType()));
      out.addColumn(neatNeuron.getActivationResponse());
      out.addColumn(neatNeuron.getSplitX());
      out.addColumn(neatNeuron.getSplitY());
      out.writeLine();
    }
   
    out.addSubSection("LINKS");
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    for (NEATNeuron neatNeuron : neat.getNeurons() ) {
      out.addColumn(neatNeuron.getNeuronID());
      out.addColumn(PersistNEATPopulation.neuronTypeToString(neatNeuron.getNeuronType()));
      out.addColumn(neatNeuron.getActivationResponse());
      out.addColumn(neatNeuron.getSplitX());
      out.addColumn(neatNeuron.getSplitY());
      out.writeLine();
    }
   
    out.addSubSection("LINKS");
    for (NEATNeuron neatNeuron : neat.getNeurons() ) {
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    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();
    }
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        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()) {
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      }
      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]);
      }
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