Examples of ZeroEvalScoreFunction

org.encog.ml.prg.train.ZeroEvalScoreFunction
This is a very simple evaluation function that simply passes in all zeros for the input arguments. Make sure that the genome you are testing supports floating point numbers for inputs. This evaluation function is useful to test to very quickly verify that a genome is valid and does not generate any obvious division by zero issues. This allows a population generator to quickly eliminate some invalid genomes.

Examples of org.encog.ml.prg.train.ZeroEvalScoreFunction

  
  public void eval(String start, String expect) {
    EncogProgramContext context = new EncogProgramContext();
    StandardExtensions.createNumericOperators(context);
    PrgPopulation pop = new PrgPopulation(context,1);
    CalculateScore score = new ZeroEvalScoreFunction();


    TrainEA genetic = new TrainEA(pop, score);
    genetic.setValidationMode(true);
    genetic.setCODEC(new PrgCODEC());
    genetic.addOperation(0.95, new SubtreeCrossover());

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