org.encog.ml.prg.train
Class PrgPopulation

java.lang.Object
  org.encog.ml.BasicML
      org.encog.ml.ea.population.BasicPopulation
          org.encog.ml.prg.train.PrgPopulation

All Implemented Interfaces:

Serializable, Population, MLInput, MLInputOutput, MLMethod, MLOutput, MLProperties, MLRegression

public class PrgPopulation
extends BasicPopulation
implements MLRegression

A population that contains EncogProgram's. The primary difference between this class and BasicPopulation is that a "compute" method is provided that automatically uses the "best" genome to provide a MLRegression compute method. This population type also holds the common context that all of the EncogProgram genomes make use of.

See Also:

Serialized Form

Constructor Summary

PrgPopulation(EncogProgramContext theContext, int thePopulationSize)
Construct the population.

Method Summary

MLData	compute(MLData input) Compute the output from the best Genome.
void	dumpMembers(int i) Dump the specified number of genomes.
EncogProgramContext	getContext()
int	getInputCount()
int	getOutputCount()

Methods inherited from class org.encog.ml.ea.population.BasicPopulation

clear, createSpecies, determineBestSpecies, flatten, getBestGenome, getGenomeFactory, getMaxIndividualSize, getName, getPopulationSize, getSpecies, purgeInvalidGenomes, setBestGenome, setGenomeFactory, setName, setPopulationSize, size, updateProperties

Methods inherited from class org.encog.ml.BasicML

getProperties, getPropertyDouble, getPropertyLong, getPropertyString, setProperty, setProperty, setProperty

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

PrgPopulation

public PrgPopulation(EncogProgramContext theContext,
                     int thePopulationSize)

Construct the population.

Parameters:

theContext - The context.

thePopulationSize - The population size.

Method Detail

compute

public MLData compute(MLData input)

Compute the output from the best Genome. Note: it is not safe to call this method while training is progressing.

Specified by:

compute in interface MLRegression

Parameters:

input - The input to the

Returns:

The output data.

dumpMembers

public void dumpMembers(int i)

Dump the specified number of genomes.

Parameters:

i - The specified number of genomes.

getContext

public EncogProgramContext getContext()

Returns:

The context for the programs.

getInputCount

public int getInputCount()

Specified by:

getInputCount in interface MLInput

Returns:

The input.

getOutputCount

public int getOutputCount()

Specified by:

getOutputCount in interface MLOutput

Returns:

The output count.