Examples of org.encog.ml.prg.EncogProgramContext

org.encog.ml.prg.EncogProgramContext
Every EncogProgram must belong to a context. When programs are in a population, they must all share a common context. The context defines attributes that are common to all programs. The following information is stored in a context. The number formatting used. Namely, what type of radix point should strings be parsed/rendered to. The functions, or opcodes, that are available to the program. This defines the set of functions & operators that a program might use. For an Encog Program all operators are treated as functions internally. A operator is essentially a shortcut notation for common functions. The defined variables. These variables are constant for the run of the program, but typically change for each run. They are essentially the variables that make up an algebraic expression. Finally, the return value mapping for the programs.

        MLTrainFactory.TYPE_EPL_GA);
    this.script.getProperties().setProperty(
        ScriptProperties.ML_TRAIN_TARGET_ERROR, this.maxError);
    
    // add in the opcodes
    EncogProgramContext context = new EncogProgramContext();
    
    if( this.getGoal()==AnalystGoal.Regression) {
      StandardExtensions.createNumericOperators(context);
    } else {
      StandardExtensions.createNumericOperators(context);
      StandardExtensions.createBooleanOperators(context);
    }
    for(ProgramExtensionTemplate temp : context.getFunctions().getOpCodes() ) {
      this.script.getOpcodes().add(new ScriptOpcode(temp));
    }
  }

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    final int populationSize = holder.getInt(
        MLMethodFactory.PROPERTY_POPULATION_SIZE, false, 1000);
    String variables = holder.getString("vars", false, "x");
    String funct = holder.getString("funct", false, null);
    
    EncogProgramContext context = new EncogProgramContext();
    StringTokenizer tok = new StringTokenizer(variables,",");
    while(tok.hasMoreElements()) {
      context.defineVariable(tok.nextToken());
    }


    if( "numeric".equalsIgnoreCase(funct) ) {
      StandardExtensions.createNumericOperators(context);
    }
    
    PrgPopulation pop = new PrgPopulation(context,populationSize);
    
    if( context.getFunctions().size()>0 ) {
      (new RampedHalfAndHalf(context,2,6)).generate(new Random(), pop);
    }
    return pop;
  }

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  @Override
  public void performOperation(final Random rnd, final Genome[] parents,
      final int parentIndex, final Genome[] offspring,
      final int offspringIndex) {
    final EncogProgram program = (EncogProgram) parents[0];
    final EncogProgramContext context = program.getContext();
    final EncogProgram result = context.cloneProgram(program);
    mutateNode(rnd, result.getRootNode());
    offspring[0] = result;
  }

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      final int offspringIndex) {
    final EncogProgram parent1 = (EncogProgram) parents[0];
    final EncogProgram parent2 = (EncogProgram) parents[1];
    offspring[0] = null;


    final EncogProgramContext context = parent1.getContext();
    final int size1 = parent1.getRootNode().size();
    final int size2 = parent2.getRootNode().size();


    boolean done = false;
    int tries = 100;


    while (!done) {
      final int p1Index = rnd.nextInt(size1);
      final int p2Index = rnd.nextInt(size2);


      final LevelHolder holder1 = new LevelHolder(p1Index);
      final LevelHolder holder2 = new LevelHolder(p2Index);


      final List<ValueType> types = new ArrayList<ValueType>();
      types.add(context.getResult().getVariableType());


      findNode(rnd, parent1.getRootNode(), types, holder1);
      findNode(rnd, parent2.getRootNode(), types, holder2);


      if (LevelHolder.compatibleTypes(holder1.getTypes(),
          holder2.getTypes())) {
        final EncogProgram result = context.cloneProgram(parent1);
        final ProgramNode resultNode = parent1.findNode(p1Index);
        final ProgramNode p2Node = parent2.findNode(p2Index);
        final ProgramNode newInsert = context.cloneBranch(result,
            p2Node);
        result.replaceNode(resultNode, newInsert);
        offspring[0] = result;
        done = true;
      } else {

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  @Override
  public void performOperation(final Random rnd, final Genome[] parents,
      final int parentIndex, final Genome[] offspring,
      final int offspringIndex) {
    final EncogProgram program = (EncogProgram) parents[0];
    final EncogProgramContext context = program.getContext();
    final EncogProgram result = context.cloneProgram(program);


    final List<ValueType> types = new ArrayList<ValueType>();
    types.add(context.getResult().getVariableType());
    final int[] globalIndex = new int[1];
    globalIndex[0] = rnd.nextInt(result.getRootNode().size());
    findNode(rnd, result, result.getRootNode(), types, globalIndex);


    offspring[0] = result;

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import org.encog.parse.expression.common.RenderCommonExpression;


public class TestRewriteAlgebraic extends TestCase {
  
  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);

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  public final File EG_FILENAME = TEMP_DIR.createFile("encogtest.eg");
  public final File SERIAL_FILENAME = TEMP_DIR.createFile("encogtest.ser");
    
  private PrgPopulation create()
  {
    EncogProgramContext context = new EncogProgramContext();
    context.defineVariable("x");
    StandardExtensions.createAll(context);
    PrgPopulation pop = new PrgPopulation(context,10);
    EncogProgram prg1 = new EncogProgram(context);
    EncogProgram prg2 = new EncogProgram(context);
    prg1.compileExpression("x+1");

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import org.encog.parse.expression.common.RenderCommonExpression;


public class TestGenerate extends TestCase {


  public void testDepth() {
    EncogProgramContext context = new EncogProgramContext();
    context.defineVariable("x");
    
    StandardExtensions.createAll(context);
    
    PrgGrowGenerator rnd = new PrgGrowGenerator(context,2);
    EncogProgram prg = rnd.generate(new Random());

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org.encog.app.analyst.wizard.AnalystWizard

org.encog.EncogError

org.encog.ml.ea.exception.EARuntimeError

org.encog.ml.factory.method.EPLFactory

org.encog.ml.prg.expvalue.ExpressionValue

org.encog.ml.prg.extension.FunctionFactory

org.encog.ml.prg.opp.ConstMutation

org.encog.ml.prg.opp.SubtreeCrossover

org.encog.ml.prg.opp.SubtreeMutation

org.encog.ml.prg.train.rewrite.TestRewriteAlgebraic

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