edu.udo.cs.yale.operator.learner.kernel.evosvm
Class RegressionOptimizationFunction

java.lang.Object
  edu.udo.cs.yale.operator.learner.kernel.evosvm.RegressionOptimizationFunction

All Implemented Interfaces:

OptimizationFunction

public class RegressionOptimizationFunction
extends java.lang.Object
implements OptimizationFunction

This function must be maximized for the search for an optimal hyperplane for regression.

Version:

$Id: RegressionOptimizationFunction.java,v 1.2 2006/03/21 15:35:48 ingomierswa Exp $

Author:

Ingo Mierswa

Constructor Summary

RegressionOptimizationFunction(double epsilon)

Method Summary

double[]

getFitness(double[] alphas, double[] ys, Kernel kernel)

Methods inherited from class java.lang.Object

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

Constructor Detail

RegressionOptimizationFunction

public RegressionOptimizationFunction(double epsilon)

Method Detail

getFitness

public double[] getFitness(double[] alphas,
                           double[] ys,
                           Kernel kernel)

Specified by:

getFitness in interface OptimizationFunction