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gaussianprior.h
Go to the documentation of this file.
1#ifndef LSST_GAUSS2D_FIT_LSQPRIOR_H
2#define LSST_GAUSS2D_FIT_LSQPRIOR_H
3
4#include <memory>
5
7
8#include "param_defs.h"
9#include "prior.h"
10
11namespace lsst::gauss2d::fit {
15class GaussianPrior : public Prior {
16public:
25 explicit GaussianPrior(std::shared_ptr<const ParamBase> param, double mean, double stddev,
26 bool transformed);
28
29 PriorEvaluation evaluate(bool calc_jacobians = false, bool normalize_loglike = false) const override;
30
31 const ParamBase& get_param() const;
32
34 double get_mean() const;
35 double get_stddev() const;
36 bool get_transformed() const;
37
38 void set_mean(double mean);
39 void set_stddev(double stddev);
40 void set_transformed(bool transformed);
41
42 size_t size() const override;
43
44 std::string repr(bool name_keywords = false,
45 std::string_view namespace_separator = Object::CC_NAMESPACE_SEPARATOR) const override;
46 std::string str() const override;
47
48private:
50 double _mean;
51 double _stddev;
52 bool _transformed;
53};
54} // namespace lsst::gauss2d::fit
55
56#endif
static constexpr std::string_view CC_NAMESPACE_SEPARATOR
The C++ namespace separator.
Definition object.h:45
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.
GaussianPrior(std::shared_ptr< const ParamBase > param, double mean, double stddev, bool transformed)
Construct a GaussianPrior from a Parameter and mean/std.
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.
Results from the evaluation of a prior probability function.
Definition prior.h:16
Interface for a prior probability function.
Definition prior.h:38
Interface for parameters with values and metadata.
Definition parameter.h:58