Package com.imsl.datamining.neural

Class QuasiNewtonTrainer.GradObjective

java.lang.Object

com.imsl.datamining.neural.QuasiNewtonTrainer.Objective

com.imsl.datamining.neural.QuasiNewtonTrainer.GradObjective

All Implemented Interfaces:

MinUnconMultiVar.Function, MinUnconMultiVar.Gradient

Direct Known Subclasses:

QuasiNewtonTrainer.BlockGradObjective

Enclosing class:

QuasiNewtonTrainer

protected class QuasiNewtonTrainer.GradObjective
extends QuasiNewtonTrainer.Objective
implements MinUnconMultiVar.Gradient

The Objective class is passed to the optimizer.

Field Summary

Fields

Modifier and Type	Field	Description
protected int	nFunctionEvaluations
protected int	nObs
protected int	nY

Method Summary

Modifier and Type	Method	Description
void	gradient(double[] weights, double[] gradient)	Public interface for the gradient of the multivariate function to be minimized.

Methods inherited from class com.imsl.datamining.neural.QuasiNewtonTrainer.Objective

f

Methods inherited from class java.lang.Object

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

Methods inherited from interface com.imsl.math.MinUnconMultiVar.Function

f

Field Details

nObs

protected int nObs

nY

protected int nY

nFunctionEvaluations

protected int nFunctionEvaluations

Method Details

gradient

public void gradient(double[] weights,
 double[] gradient)

Description copied from interface: MinUnconMultiVar.Gradient

Public interface for the gradient of the multivariate function to be minimized.

Specified by:

gradient in interface MinUnconMultiVar.Gradient

Parameters:

weights - a double array, the point at which the gradient of the function is to be evaluated

gradient - a double array, the value of the gradient of the function at x