weka.classifiers.functions
Class Logistic.OptEng

java.lang.Object
  weka.core.Optimization
      weka.classifiers.functions.Logistic.OptEng

Enclosing class:

Logistic

private class Logistic.OptEng

extends Optimization

Field Summary

private int[]	cls
private double[]	weights

Fields inherited from class weka.core.Optimization

m_ALF, m_BETA, m_Debug, m_Epsilon, m_f, m_MAXITS, m_STPMX, m_TOLX, m_Zero

Constructor Summary

private

Logistic.OptEng()

Method Summary

protected double[]	evaluateGradient(double[] x) Evaluate Jacobian vector
protected double	objectiveFunction(double[] x) Evaluate objective function
void	setClassLabels(int[] c)
void	setWeights(double[] w)

Methods inherited from class weka.core.Optimization

evaluateHessian, findArgmin, getMinFunction, getVarbValues, lnsrch, setDebug, setMaxIteration, solveTriangle, updateCholeskyFactor

Methods inherited from class java.lang.Object

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

Field Detail

weights

private double[] weights

cls

private int[] cls

Constructor Detail

Logistic.OptEng

private Logistic.OptEng()

Method Detail

setWeights

public void setWeights(double[] w)

setClassLabels

public void setClassLabels(int[] c)

objectiveFunction

protected double objectiveFunction(double[] x)

Evaluate objective function

Specified by:

objectiveFunction in class Optimization

Parameters:

x - the current values of variables

Returns:

the value of the objective function

evaluateGradient

protected double[] evaluateGradient(double[] x)

Evaluate Jacobian vector

Specified by:

evaluateGradient in class Optimization

Parameters:

x - the current values of variables

Returns:

the gradient vector