lsst::gauss2d::fit::Prior Class Reference

#include <prior.h>

Inheritance diagram for lsst::gauss2d::fit::Prior:

Public Member Functions
virtual std::vector< double >	get_loglike_const_terms () const =0
	Return the constant terms of the log likelihood (dependent on stddevs only)
virtual PriorEvaluation	evaluate (bool calc_jacobians=false, bool normalize_loglike=true) const =0
virtual size_t	size () const =0

Detailed Description

Interface for a prior probability function.

Member Function Documentation

evaluate()

virtual PriorEvaluation lsst::gauss2d::fit::Prior::evaluate ( bool calc_jacobians = false, bool normalize_loglike = true ) const

pure virtual

Evaluate the log likelihood and residual-dependent terms.

Parameters

calc_jacobians	Whether to compute the Jacobian and residual terms.
normalize_loglike	Whether to add the constant (sigma-dependent) factors to the log likehood.

Returns

The result of the evaluation.

Implemented in lsst::gauss2d::fit::GaussianPrior, and lsst::gauss2d::fit::ShapePrior.

get_loglike_const_terms()

virtual std::vector< double > lsst::gauss2d::fit::Prior::get_loglike_const_terms ( ) const

pure virtual

Return the constant terms of the log likelihood (dependent on stddevs only)

Implemented in lsst::gauss2d::fit::GaussianPrior, and lsst::gauss2d::fit::ShapePrior.

---

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

• include/lsst/gauss2d/fit/prior.h