hep.aida.ref.fitter.fitmethod

Class UnbinnedMaximumLikelihoodFitMethod

java.lang.Object

hep.aida.ref.fitter.fitmethod.AbstractFitMethod

hep.aida.ref.fitter.fitmethod.UnbinnedMaximumLikelihoodFitMethod

All Implemented Interfaces:

IFitMethod

public class UnbinnedMaximumLikelihoodFitMethod
extends AbstractFitMethod

Field Summary

Fields inherited from interface hep.aida.ext.IFitMethod

BINNED_FIT, UNBINNED_FIT

Constructor Summary

Constructors

Constructor and Description
UnbinnedMaximumLikelihoodFitMethod()

Method Summary

Modifier and Type	Method and Description
double[]	evaluateGradientSumElement(IDevFitDataIterator dataIter, IFunction function) Evaluate the the sum contribution to the Objective Function gradient.
double	evaluateSumElement(IDevFitDataIterator dataIter, IFunction function) Evaluate the the sum contribution to the Objective Function value.

Methods inherited from class hep.aida.ref.fitter.fitmethod.AbstractFitMethod

clear, correlationObject, evaluate, evaluateGradient, fitMethodNames, fitType, setCorrelationObject

Methods inherited from class java.lang.Object

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

Constructor Detail

UnbinnedMaximumLikelihoodFitMethod

public UnbinnedMaximumLikelihoodFitMethod()

Method Detail

evaluateSumElement

public double evaluateSumElement(IDevFitDataIterator dataIter,
                                 IFunction function)

Description copied from interface: IFitMethod

Evaluate the the sum contribution to the Objective Function value.

evaluateGradientSumElement

public double[] evaluateGradientSumElement(IDevFitDataIterator dataIter,
                                           IFunction function)

Description copied from interface: IFitMethod

Evaluate the the sum contribution to the Objective Function gradient.