Package net.bmahe.genetics4j.samples.mixturemodel

Class MooGPU

java.lang.Object

net.bmahe.genetics4j.samples.mixturemodel.MooGPU

public class MooGPU
extends Object

Field Summary

Fields

Modifier and Type	Field	Description
private final String	baseDir
private final Comparator<Genotype>	deduplicator
private final int	distributionNumParameters
static final org.apache.logging.log4j.Logger	logger
private final int	maxGenerations

Constructor Summary

Constructors

Constructor	Description
MooGPU(int _distributionNumParameters, Comparator<Genotype> _deduplicator, String _baseDir, int _maxGenerations)

Method Summary

Modifier and Type	Method	Description
DataSupplier<float[]>	computeSideData(int maxPossibleDistributions)
final FitnessExtractor<FitnessVector<Float>>	fitnessExtractor(int maxPossibleDistributions, double[][] samples)
void	run(int maxPossibleDistributions, int numDistributions, double[][] samplesDouble, float[][] samples, float[] x, float[] y, String algorithmName, Collection<Genotype> seedPopulation, EvolutionResult<FitnessVector<Float>> bestCPUResult)

Methods inherited from class java.lang.Object

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

Field Details

logger

public static final org.apache.logging.log4j.Logger logger

distributionNumParameters

private final int distributionNumParameters

deduplicator

private final Comparator<Genotype> deduplicator

baseDir

private final String baseDir

maxGenerations

private final int maxGenerations

Constructor Details

MooGPU

public MooGPU(int _distributionNumParameters,
 Comparator<Genotype> _deduplicator,
 String _baseDir,
 int _maxGenerations)

Method Details

fitnessExtractor

public final FitnessExtractor<FitnessVector<Float>> fitnessExtractor(int maxPossibleDistributions,
 double[][] samples)

computeSideData

public DataSupplier<float[]> computeSideData(int maxPossibleDistributions)

run

public void run(int maxPossibleDistributions,
 int numDistributions,
 double[][] samplesDouble,
 float[][] samples,
 float[] x,
 float[] y,
 String algorithmName,
 Collection<Genotype> seedPopulation,
 EvolutionResult<FitnessVector<Float>> bestCPUResult)
         throws IOException

Throws:

IOException