FitnessEvaluation.SymbolicRegression
Class SymbolicRegressionInterpreter

java.lang.Object
  FitnessEvaluation.SymbolicRegression.SymbolicRegressionInterpreter

All Implemented Interfaces:

FitnessFunction, ParameterI, Stochastic

public class SymbolicRegressionInterpreter
extends java.lang.Object
implements FitnessFunction, Stochastic

Interpreter for symbolic regression.

Author:

erikhemberg

Constructor Summary

SymbolicRegressionInterpreter()

Method Summary

void	calculateTarget(java.lang.String target) Calcualte the value of the target function for each data point in the sample.
boolean	canCache() Return true if it is ok to cache the results of the fitness function
void	getFitness(Individual ind) Split the phenotype of the individual.
Range	getRange()
RandomNumberGenerator	getRNG() Get the number generator
void	setProperties(java.util.Properties p) Set properties
void	setRange(Range range)
void	setRNG(RandomNumberGenerator m) Set the number generator
void	setSamples(double[][] samples)
void	setX(double[] x)

Methods inherited from class java.lang.Object

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

Constructor Detail

SymbolicRegressionInterpreter

public SymbolicRegressionInterpreter()

Method Detail

getRange

public Range getRange()

setRange

public void setRange(Range range)

calculateTarget

public void calculateTarget(java.lang.String target)

Calcualte the value of the target function for each data point in the sample.

Parameters:

target - target function in prefix notation

setProperties

public void setProperties(java.util.Properties p)

Description copied from interface: ParameterI

Set properties

Specified by:

setProperties in interface ParameterI

Parameters:

p - object containing properties

getRNG

public RandomNumberGenerator getRNG()

Description copied from interface: Stochastic

Get the number generator

Specified by:

getRNG in interface Stochastic

Returns:

number generator

setRNG

public void setRNG(RandomNumberGenerator m)

Description copied from interface: Stochastic

Set the number generator

Specified by:

setRNG in interface Stochastic

Parameters:

m - number generator

getFitness

public void getFitness(Individual ind)

Split the phenotype of the individual. Calculate the fitness as the sum of the squared distance to the target. Errors in the calculation will lead to default fitness

Specified by:

getFitness in interface FitnessFunction

Parameters:

ind - Individual that will be evaluated and assigned fitness

canCache

public boolean canCache()

Description copied from interface: FitnessFunction

Return true if it is ok to cache the results of the fitness function

Specified by:

canCache in interface FitnessFunction

setSamples

public void setSamples(double[][] samples)

setX

public void setX(double[] x)