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

Interface for a prior probability function. More...

#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
	Evaluate the log likelihood and residual-dependent terms.
virtual size_t	size () const =0
virtual	~Prior ()=default
virtual std::string	repr (bool name_keywords=false, std::string_view namespace_separator=CC_NAMESPACE_SEPARATOR) const =0
	Return a full, callable string representation of this.
virtual std::string	str () const =0
	Return a brief, human-readable string representation of this.

Static Public Member Functions
static std::string_view	null_str (const std::string_view &namespace_separator)

Static Public Attributes
static constexpr std::string_view	CC_NAMESPACE_SEPARATOR = "::"
	The C++ namespace separator.
static constexpr std::string_view	NULL_STR_GENERAL = "None"
static constexpr std::string_view	PY_NAMESPACE_SEPARATOR = "."

Detailed Description

Interface for a prior probability function.

Definition at line 38 of file prior.h.

Constructor & Destructor Documentation

~Prior()

virtual lsst::gauss2d::fit::Prior::~Prior ( )

virtualdefault

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.

null_str()

static std::string_view lsst::gauss2d::Object::null_str ( const std::string_view & namespace_separator )

inlinestaticinherited

Definition at line 49 of file object.h.

                                                                              {
        return namespace_separator == CC_NAMESPACE_SEPARATOR ? "nullptr" : NULL_STR_GENERAL;
    }

repr()

virtual std::string lsst::gauss2d::Object::repr ( bool name_keywords = false, std::string_view namespace_separator = CC_NAMESPACE_SEPARATOR ) const

pure virtualinherited

Return a full, callable string representation of this.

Parameters

name_keywords	Whether to prefix arguments with "{name}=", where name is the arg name in the header (as with keyword arguments in Python).
namespace_separator	The string to use to delimit namespaces, i.e. :: in C++ and . in Python.

Returns

A callable string representation of this, which should return an an identical object to this.

Note

The representation with name_keywords=false must be callable in C++. The representation with name_keywords=true should be callable in Python, if there are any bindings.

Implemented in lsst::gauss2d::CentroidValues, lsst::gauss2d::Image< idx_type, Indices >, lsst::gauss2d::Image< t, Data >, lsst::gauss2d::Image< T, Image< T > >, lsst::gauss2d::Image< T, VectorImage< T > >, lsst::gauss2d::Image< T, C >, lsst::gauss2d::ImageArray< T, Data >, lsst::gauss2d::ImageArray< t, Data >, lsst::gauss2d::ImageArray< T, C >, lsst::gauss2d::fit::SersicEllipseData, lsst::gauss2d::fit::SersicModelIntegral, lsst::gauss2d::Centroid, lsst::gauss2d::CoordinateSystem, lsst::gauss2d::Covariance, lsst::gauss2d::EllipseValues, lsst::gauss2d::Ellipse, lsst::gauss2d::EllipseMajor, lsst::gauss2d::detail::GradientsExtra< t, Data, Indices >, lsst::gauss2d::GaussianEvaluator< T, Data, Indices >, lsst::gauss2d::GaussianIntegralValue, lsst::gauss2d::Gaussian, lsst::gauss2d::Gaussians, lsst::gauss2d::ConvolvedGaussian, lsst::gauss2d::ConvolvedGaussians, lsst::gauss2d::fit::CentroidParameters, lsst::gauss2d::fit::Channel, lsst::gauss2d::fit::Data< T, I, M >, lsst::gauss2d::fit::EllipticalComponent, lsst::gauss2d::fit::FractionalIntegralModel, lsst::gauss2d::fit::GaussianComponent, lsst::gauss2d::fit::GaussianModelIntegral, lsst::gauss2d::fit::GaussianParametricEllipse, lsst::gauss2d::fit::GaussianPrior, lsst::gauss2d::fit::LinearIntegralModel, lsst::gauss2d::fit::LinearSersicMixInterpolator, lsst::gauss2d::fit::Model< T, Image, Indices, Mask >, lsst::gauss2d::fit::Observation< T, I, M >, lsst::gauss2d::fit::ParametricGaussian1D, lsst::gauss2d::fit::PriorEvaluation, lsst::gauss2d::fit::PsfModel, lsst::gauss2d::fit::IntegralSize, lsst::gauss2d::fit::SersicMixValues, lsst::gauss2d::fit::SersicMixComponent, lsst::gauss2d::fit::SersicParametricEllipse, lsst::gauss2d::fit::ShapePriorOptions, lsst::gauss2d::fit::ShapePrior, lsst::gauss2d::fit::Source, lsst::gauss2d::CentroidData, lsst::gauss2d::EllipseData, and lsst::gauss2d::GaussianIntegral.

size()

virtual size_t lsst::gauss2d::fit::Prior::size ( ) const

pure virtual

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

str()

virtual std::string lsst::gauss2d::Object::str ( ) const

pure virtualinherited

Return a brief, human-readable string representation of this.

Implemented in lsst::gauss2d::CentroidValues, lsst::gauss2d::Centroid, lsst::gauss2d::CoordinateSystem, lsst::gauss2d::Covariance, lsst::gauss2d::EllipseValues, lsst::gauss2d::Ellipse, lsst::gauss2d::EllipseMajor, lsst::gauss2d::detail::GradientsExtra< t, Data, Indices >, lsst::gauss2d::GaussianEvaluator< T, Data, Indices >, lsst::gauss2d::GaussianIntegralValue, lsst::gauss2d::Gaussian, lsst::gauss2d::Gaussians, lsst::gauss2d::ConvolvedGaussian, lsst::gauss2d::ConvolvedGaussians, lsst::gauss2d::Image< idx_type, Indices >, lsst::gauss2d::Image< t, Data >, lsst::gauss2d::Image< T, Image< T > >, lsst::gauss2d::Image< T, VectorImage< T > >, lsst::gauss2d::Image< T, C >, lsst::gauss2d::ImageArray< T, Data >, lsst::gauss2d::ImageArray< t, Data >, lsst::gauss2d::ImageArray< T, C >, lsst::gauss2d::fit::CentroidParameters, lsst::gauss2d::fit::Channel, lsst::gauss2d::fit::Data< T, I, M >, lsst::gauss2d::fit::EllipticalComponent, lsst::gauss2d::fit::FractionalIntegralModel, lsst::gauss2d::fit::GaussianComponent, lsst::gauss2d::fit::GaussianModelIntegral, lsst::gauss2d::fit::GaussianParametricEllipse, lsst::gauss2d::fit::GaussianPrior, lsst::gauss2d::fit::LinearIntegralModel, lsst::gauss2d::fit::LinearSersicMixInterpolator, lsst::gauss2d::fit::Model< T, Image, Indices, Mask >, lsst::gauss2d::fit::Observation< T, I, M >, lsst::gauss2d::fit::ParametricGaussian1D, lsst::gauss2d::fit::PriorEvaluation, lsst::gauss2d::fit::PsfModel, lsst::gauss2d::fit::IntegralSize, lsst::gauss2d::fit::SersicMixValues, lsst::gauss2d::fit::SersicMixComponent, lsst::gauss2d::fit::SersicParametricEllipse, lsst::gauss2d::fit::ShapePriorOptions, lsst::gauss2d::fit::ShapePrior, lsst::gauss2d::fit::Source, lsst::gauss2d::fit::SersicEllipseData, lsst::gauss2d::fit::SersicModelIntegral, lsst::gauss2d::CentroidData, lsst::gauss2d::EllipseData, and lsst::gauss2d::GaussianIntegral.

Member Data Documentation

CC_NAMESPACE_SEPARATOR

constexpr std::string_view lsst::gauss2d::Object::CC_NAMESPACE_SEPARATOR = "::"

staticconstexprinherited

The C++ namespace separator.

Definition at line 45 of file object.h.

NULL_STR_GENERAL

constexpr std::string_view lsst::gauss2d::Object::NULL_STR_GENERAL = "None"

staticconstexprinherited

Definition at line 46 of file object.h.

PY_NAMESPACE_SEPARATOR

constexpr std::string_view lsst::gauss2d::Object::PY_NAMESPACE_SEPARATOR = "."

staticconstexprinherited

Definition at line 47 of file object.h.

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

• /j/snowflake/release/lsstsw/stack/lsst-scipipe-9.0.0/Linux64/gauss2d_fit/gb58c049af0+ace264a4f2/include/lsst/gauss2d/fit/prior.h