Examples of org.encog.ml.MLEncodable

org.encog.ml.MLEncodable
Defines a Machine Learning Method that can be encoded to a double array. This is very useful for certain training, such as genetic algorithms and simulated annealing.

      final BasicNetwork network = (BasicNetwork) method;
      for (int i = 0; i < network.getLayerCount() - 1; i++) {
        randomize(network, i);
      }
    } else if (method instanceof MLEncodable) {
      final MLEncodable encode = (MLEncodable) method;
      final double[] encoded = new double[encode.encodedArrayLength()];
      encode.encodeToArray(encoded);
      randomize(encoded);
      encode.decodeFromArray(encoded);
    }
  }

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      report.tablePair("Output Count",
          Format.formatInteger(reg.getOutputCount()));
    }


    if (method instanceof MLEncodable) {
      MLEncodable encode = (MLEncodable)method;
      report.tablePair("Encoded Length",
          Format.formatInteger(encode.encodedArrayLength()));
    }


    report.tablePair("Resettable",
        (method instanceof MLResettable) ? "true" : "false");

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   */
  private EncogProgramNode generateForMethod(
      final EncogProgramNode mainClass, final File method) {


    if (this.embedData) {
      final MLEncodable encodable = (MLEncodable) EncogDirectoryPersistence
          .loadObject(method);
      final double[] weights = new double[encodable.encodedArrayLength()];
      encodable.encodeToArray(weights);
      mainClass.createArray("WEIGHTS", weights);
    }


    return mainClass.createNetworkFunction("createNetwork", method);
  }

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      final BasicNetwork network = (BasicNetwork) method;
      for (int i = 0; i < network.getLayerCount() - 1; i++) {
        randomize(network, i);
      }
    } else if (method instanceof MLEncodable) {
      final MLEncodable encode = (MLEncodable) method;
      final double[] encoded = new double[encode.encodedArrayLength()];
      encode.encodeToArray(encoded);
      randomize(encoded);
      encode.decodeFromArray(encoded);
    }
  }

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  /**
   * {@inheritDoc}
   */
  @Override
  public Genome encode(final MLMethod phenotype) {
    final MLEncodable phenotype2 = (MLEncodable) phenotype;
    return new MLMethodGenome(phenotype2);
  }

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    // Create the population
    final Population population = new BasicPopulation(populationSize, null);
    final Species defaultSpecies = population.createSpecies();


    for (int i = 0; i < population.getPopulationSize(); i++) {
      final MLEncodable chromosomeNetwork = (MLEncodable) phenotypeFactory
          .factor();
      final MLMethodGenome genome = new MLMethodGenome(chromosomeNetwork);
      defaultSpecies.add(genome);
    }
    defaultSpecies.setLeader(defaultSpecies.getMembers().get(0));

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Related Classes of org.encog.ml.MLEncodable

org.encog.app.generate.EncogCodeGeneration

org.encog.mathutil.randomize.BasicRandomizer

org.encog.ml.genetic.MLEncodableCODEC

org.encog.ml.genetic.MLMethodGeneticAlgorithm

org.encog.workbench.tabs.mlmethod.MLMethodTab

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