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LSST Data Management Base Package
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gaussianprior.cc File Reference
#include <memory>
#include <pybind11/pybind11.h>
#include <pybind11/stl.h>
#include "lsst/gauss2d/fit/gaussianprior.h"
#include "lsst/gauss2d/fit/param_defs.h"
#include "lsst/gauss2d/fit/prior.h"
#include "pybind11.h"

Go to the source code of this file.

Functions

void bind_gaussianprior (py::module &m)
 

Function Documentation

◆ bind_gaussianprior()

void bind_gaussianprior ( py::module & m)

Definition at line 40 of file gaussianprior.cc.

40 {
41 auto _e = py::classh<g2f::GaussianPrior, g2f::Prior>(m, "GaussianPrior")
42 .def(py::init<std::shared_ptr<const g2f::ParamBase>, double, double, bool>(),
43 "param"_a = nullptr, "mean"_a = 0, "stddev"_a = 1., "transformed"_a = false)
44 .def("evaluate", &g2f::GaussianPrior::evaluate, "calc_jacobians"_a = false,
45 "normalize_loglike"_a = false)
46 .def_property_readonly("loglike_const_terms",
49 .def_property_readonly("param", &g2f::GaussianPrior::get_param)
50 .def_property("stddev", &g2f::GaussianPrior::get_stddev,
52 .def_property("transformed", &g2f::GaussianPrior::get_transformed,
54 .def("__len__", &g2f::GaussianPrior::size)
55 .def("__repr__", [](const g2f::GaussianPrior &self) { return self.repr(true); })
56 .def("__str__", &g2f::GaussianPrior::str);
57}
A 1D Gaussian prior for a single Parameter.
PriorEvaluation evaluate(bool calc_jacobians=false, bool normalize_loglike=false) const override
Evaluate the log likelihood and residual-dependent terms.
size_t size() const override
void set_transformed(bool transformed)
std::string str() const override
Return a brief, human-readable string representation of this.
std::vector< double > get_loglike_const_terms() const override
Return the constant terms of the log likelihood (dependent on stddevs only)
const ParamBase & get_param() const
std::string repr(bool name_keywords=false, std::string_view namespace_separator=Object::CC_NAMESPACE_SEPARATOR) const override
Return a full, callable string representation of this.