Package com.imsl.datamining.neural

Class QuasiNewtonTrainer.BlockObjective

java.lang.Object

com.imsl.datamining.neural.QuasiNewtonTrainer.Objective

com.imsl.datamining.neural.QuasiNewtonTrainer.BlockObjective

All Implemented Interfaces:

MinUnconMultiVar.Function

Enclosing class:

QuasiNewtonTrainer

protected class QuasiNewtonTrainer.BlockObjective
extends QuasiNewtonTrainer.Objective

Field Summary

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

nFunctionEvaluations, nObs, nY

Constructor Summary

Constructors

Modifier	Constructor	Description
protected	BlockObjective()

Method Summary

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

Methods inherited from class java.lang.Object

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

Constructor Details

BlockObjective

protected BlockObjective()

Method Details

f

public double f(double[] weights)

Description copied from interface: MinUnconMultiVar.Function

Public interface for the multivariate function to be minimized.

Specified by:

f in interface MinUnconMultiVar.Function

Overrides:

f in class QuasiNewtonTrainer.Objective

Parameters:

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

Returns:

a double, the value of the function at x