com.rapidminer.operator.learner.functions.kernel.evosvm
Class RegressionEvoOptimization

java.lang.Object
  com.rapidminer.tools.math.optimization.ec.es.ESOptimization
      com.rapidminer.operator.learner.functions.kernel.evosvm.RegressionEvoOptimization

All Implemented Interfaces:

EvoOptimization, Optimization

public class RegressionEvoOptimization
extends ESOptimization
implements EvoOptimization

Evolutionary Strategy approach for SVM optimization. Currently only classification problems are supported.

Author:

Ingo Mierswa

Field Summary

Fields inherited from class com.rapidminer.tools.math.optimization.ec.es.ESOptimization

BOLTZMANN_SELECTION, CUT_SELECTION, GAUSSIAN_MUTATION, INIT_TYPE_MAX, INIT_TYPE_MIN, INIT_TYPE_ONE, INIT_TYPE_RANDOM, INIT_TYPE_ZERO, MUTATION_TYPES, NO_MUTATION, NON_DOMINATED_SORTING_SELECTION, POPULATION_INIT_TYPES, RANK_SELECTION, ROULETTE_WHEEL, SELECTION_TYPES, SPARSITY_MUTATION, STOCHASTIC_UNIVERSAL, SWITCHING_MUTATION, TOURNAMENT_SELECTION, UNIFORM_SELECTION

Constructor Summary

RegressionEvoOptimization(ExampleSet exampleSet, Kernel kernel, double c, double epsilon, int initType, int maxIterations, int generationsWithoutImprovement, int popSize, int selectionType, double tournamentFraction, boolean keepBest, int mutationType, double crossoverProb, boolean showConvergencePlot, boolean showPopulationPlot, RandomGenerator random, LoggingHandler logging)
Creates a new evolutionary SVM optimization.

Method Summary

PerformanceVector	evaluateIndividual(Individual individual) Subclasses must implement this method to calculate the fitness of the given individual.
PerformanceVector	getOptimizationPerformance() Delivers the fitness of the best individual as performance vector.
EvoSVMModel	train() Trains the SVM.

Methods inherited from class com.rapidminer.tools.math.optimization.ec.es.ESOptimization

evaluate, getBestFitnessEver, getBestFitnessInGeneration, getBestPerformanceEver, getBestValuesEver, getGeneration, getMax, getMin, getPopulation, getValueType, increaseCurrentEvaluationCounter, increaseTotalEvaluationCounter, nextIteration, optimize, setMax, setMin, setValueType

Methods inherited from class java.lang.Object

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

Constructor Detail

RegressionEvoOptimization

public RegressionEvoOptimization(ExampleSet exampleSet,
                                 Kernel kernel,
                                 double c,
                                 double epsilon,
                                 int initType,
                                 int maxIterations,
                                 int generationsWithoutImprovement,
                                 int popSize,
                                 int selectionType,
                                 double tournamentFraction,
                                 boolean keepBest,
                                 int mutationType,
                                 double crossoverProb,
                                 boolean showConvergencePlot,
                                 boolean showPopulationPlot,
                                 RandomGenerator random,
                                 LoggingHandler logging)

Creates a new evolutionary SVM optimization.

Method Detail

evaluateIndividual

public PerformanceVector evaluateIndividual(Individual individual)

Description copied from class: ESOptimization

Subclasses must implement this method to calculate the fitness of the given individual. Please note that null might be returned for non-valid individuals. The fitness will be maximized.

Specified by:

evaluateIndividual in class ESOptimization

train

public EvoSVMModel train()
                  throws OperatorException

Trains the SVM. In this case an evolutionary strategy approach is applied to determine the best alpha values.

Specified by:

train in interface EvoOptimization

Throws:

OperatorException

getOptimizationPerformance

public PerformanceVector getOptimizationPerformance()

Delivers the fitness of the best individual as performance vector.

Specified by:

getOptimizationPerformance in interface EvoOptimization