EtaDerivatives Struct Reference

First-order derivatives of the likelihood with respect to selected nuisance parameters. More...

#include <GradientHelper.h>

Collaboration diagram for EtaDerivatives:

Public Attributes
std::vector< double >	g_eta
	NLL gradient restricted to the selected nuisance directions.
RealMatrix	J_eta
	Observable Jacobian with rows as observables and columns as nuisance directions.

Detailed Description

First-order derivatives of the likelihood with respect to selected nuisance parameters.

The vector g_eta contains finite-difference derivatives of the NLL with respect to nuisance parameters. The matrix J_eta contains the Jacobian of model predictions with respect to the same nuisance directions.

Definition at line 40 of file GradientHelper.h.

Member Data Documentation

g_eta

std::vector<double> EtaDerivatives::g_eta

NLL gradient restricted to the selected nuisance directions.

Definition at line 41 of file GradientHelper.h.

J_eta

RealMatrix EtaDerivatives::J_eta

Observable Jacobian with rows as observables and columns as nuisance directions.

Definition at line 42 of file GradientHelper.h.

---

The documentation for this struct was generated from the following file:

• /home/runner/work/Hyperiso/Hyperiso/Hyperiso/Hyperiso/core/src/Statistic/domain/Likelihood/GradientHelper.h