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LSST Data Management Base Package
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Interface for a prior probability function. More...
#include <prior.h>
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 = "." |
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virtualdefault |
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pure virtual |
Evaluate the log likelihood and residual-dependent terms.
calc_jacobians | Whether to compute the Jacobian and residual terms. |
normalize_loglike | Whether to add the constant (sigma-dependent) factors to the log likehood. |
Implemented in lsst::gauss2d::fit::GaussianPrior, and lsst::gauss2d::fit::ShapePrior.
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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.
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inlinestaticinherited |
Definition at line 49 of file object.h.
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pure virtualinherited |
Return a full, callable string representation of this.
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. |
Implemented in lsst::gauss2d::Centroid, lsst::gauss2d::CentroidData, lsst::gauss2d::CentroidValues, lsst::gauss2d::ConvolvedGaussian, lsst::gauss2d::ConvolvedGaussians, lsst::gauss2d::CoordinateSystem, lsst::gauss2d::Covariance, lsst::gauss2d::detail::GradientsExtra< t, Data, Indices >, lsst::gauss2d::Ellipse, lsst::gauss2d::EllipseData, lsst::gauss2d::EllipseMajor, lsst::gauss2d::EllipseValues, lsst::gauss2d::fit::CentroidParameters, lsst::gauss2d::fit::Channel, lsst::gauss2d::fit::Data< T, I, M >, lsst::gauss2d::fit::Data< T, Image, Mask >, lsst::gauss2d::fit::Data< T, Image, Mask >, 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::IntegralSize, 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::SersicEllipseData, lsst::gauss2d::fit::SersicMixComponent, lsst::gauss2d::fit::SersicMixValues, lsst::gauss2d::fit::SersicModelIntegral, lsst::gauss2d::fit::SersicParametricEllipse, lsst::gauss2d::fit::ShapePrior, lsst::gauss2d::fit::ShapePriorOptions, lsst::gauss2d::fit::Source, lsst::gauss2d::Gaussian, lsst::gauss2d::GaussianEvaluator< T, Data, Indices >, lsst::gauss2d::GaussianEvaluator< T, Image, Indices >, lsst::gauss2d::GaussianEvaluator< T, Image, Indices >, lsst::gauss2d::GaussianIntegral, lsst::gauss2d::GaussianIntegralValue, lsst::gauss2d::Gaussians, lsst::gauss2d::Image< T, C >, lsst::gauss2d::Image< bool, M >, lsst::gauss2d::Image< bool, M >, lsst::gauss2d::Image< idx_type, Indices >, lsst::gauss2d::Image< idx_type, Indices >, lsst::gauss2d::Image< T, Data >, lsst::gauss2d::Image< T, Data >, lsst::gauss2d::Image< t, Data >, lsst::gauss2d::Image< T, I >, lsst::gauss2d::Image< T, I >, lsst::gauss2d::Image< T, Image< T > >, lsst::gauss2d::Image< T, VectorImage< T > >, lsst::gauss2d::ImageArray< T, C >, lsst::gauss2d::ImageArray< double, Image >, lsst::gauss2d::ImageArray< double, Image >, lsst::gauss2d::ImageArray< T, Data >, lsst::gauss2d::ImageArray< T, Data >, and lsst::gauss2d::ImageArray< t, Data >.
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pure virtual |
Implemented in lsst::gauss2d::fit::GaussianPrior, and lsst::gauss2d::fit::ShapePrior.
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pure virtualinherited |
Return a brief, human-readable string representation of this.
Implemented in lsst::gauss2d::Centroid, lsst::gauss2d::CentroidData, lsst::gauss2d::CentroidValues, lsst::gauss2d::ConvolvedGaussian, lsst::gauss2d::ConvolvedGaussians, lsst::gauss2d::CoordinateSystem, lsst::gauss2d::Covariance, lsst::gauss2d::detail::GradientsExtra< t, Data, Indices >, lsst::gauss2d::Ellipse, lsst::gauss2d::EllipseData, lsst::gauss2d::EllipseMajor, lsst::gauss2d::EllipseValues, lsst::gauss2d::fit::CentroidParameters, lsst::gauss2d::fit::Channel, lsst::gauss2d::fit::Data< T, I, M >, lsst::gauss2d::fit::Data< T, Image, Mask >, lsst::gauss2d::fit::Data< T, Image, Mask >, 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::IntegralSize, 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::SersicEllipseData, lsst::gauss2d::fit::SersicMixComponent, lsst::gauss2d::fit::SersicMixValues, lsst::gauss2d::fit::SersicModelIntegral, lsst::gauss2d::fit::SersicParametricEllipse, lsst::gauss2d::fit::ShapePrior, lsst::gauss2d::fit::ShapePriorOptions, lsst::gauss2d::fit::Source, lsst::gauss2d::Gaussian, lsst::gauss2d::GaussianEvaluator< T, Data, Indices >, lsst::gauss2d::GaussianEvaluator< T, Image, Indices >, lsst::gauss2d::GaussianEvaluator< T, Image, Indices >, lsst::gauss2d::GaussianIntegral, lsst::gauss2d::GaussianIntegralValue, lsst::gauss2d::Gaussians, lsst::gauss2d::Image< T, C >, lsst::gauss2d::Image< bool, M >, lsst::gauss2d::Image< bool, M >, lsst::gauss2d::Image< idx_type, Indices >, lsst::gauss2d::Image< idx_type, Indices >, lsst::gauss2d::Image< T, Data >, lsst::gauss2d::Image< T, Data >, lsst::gauss2d::Image< t, Data >, lsst::gauss2d::Image< T, I >, lsst::gauss2d::Image< T, I >, lsst::gauss2d::Image< T, Image< T > >, lsst::gauss2d::Image< T, VectorImage< T > >, lsst::gauss2d::ImageArray< T, C >, lsst::gauss2d::ImageArray< double, Image >, lsst::gauss2d::ImageArray< double, Image >, lsst::gauss2d::ImageArray< T, Data >, lsst::gauss2d::ImageArray< T, Data >, and lsst::gauss2d::ImageArray< t, Data >.
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staticconstexprinherited |
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staticconstexprinherited |
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staticconstexprinherited |