com.rapidminer.operator.features.weighting
Class WeightingMutation

java.lang.Object
  com.rapidminer.operator.features.IndividualOperator
      com.rapidminer.operator.features.weighting.WeightingMutation

All Implemented Interfaces:

PopulationOperator

public class WeightingMutation
extends IndividualOperator

Changes the weight for all attributes by multiplying them with a gaussian distribution.

Author:

Ingo Mierswa Exp $

Constructor Summary

WeightingMutation(double variance, boolean bounded, java.util.Random random)

Method Summary

double	getVariance()
java.util.List<Individual>	operate(Individual individual) Subclasses must implement this method providing a list of new individuals.
void	setVariance(double variance)

Methods inherited from class com.rapidminer.operator.features.IndividualOperator

operate, performOperation

Methods inherited from class java.lang.Object

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

Constructor Detail

WeightingMutation

public WeightingMutation(double variance,
                         boolean bounded,
                         java.util.Random random)

Method Detail

setVariance

public void setVariance(double variance)

getVariance

public double getVariance()

operate

public java.util.List<Individual> operate(Individual individual)

Description copied from class: IndividualOperator

Subclasses must implement this method providing a list of new individuals. individual will be removed from the population so it might be useful to return a list of size 1 containing only the modified individual. If the original individual should also be part of the new population it must also be added to the result list.

Specified by:

operate in class IndividualOperator