model.h File Reference

#include <algorithm>
#include <map>
#include <memory>
#include <stdexcept>
#include <string>
#include "lsst/gauss2d/evaluate.h"
#include "lsst/gauss2d/image.h"
#include "lsst/gauss2d/to_string.h"
#include "lsst/gauss2d/type_name.h"
#include "data.h"
#include "math.h"
#include "parameters.h"
#include "parametricmodel.h"
#include "param_filter.h"
#include "prior.h"
#include "psfmodel.h"
#include "source.h"
#include "util.h"

Go to the source code of this file.

Classes
struct	lsst::gauss2d::fit::HessianOptions
class	lsst::gauss2d::fit::Model< T, Image, Indices, Mask >
	A collection of Sources comprising a ParametricModel of Data. More...

Namespaces
namespace	lsst
namespace	lsst::gauss2d
namespace	lsst::gauss2d::fit

Typedefs
typedef std::vector< std::shared_ptr< PsfModel > >	lsst::gauss2d::fit::PsfModels
typedef std::vector< std::shared_ptr< Source > >	lsst::gauss2d::fit::Sources
typedef std::vector< std::shared_ptr< Prior > >	lsst::gauss2d::fit::Priors

Enumerations
enum class	lsst::gauss2d::fit::EvaluatorMode {   lsst::gauss2d::fit::image , lsst::gauss2d::fit::loglike , lsst::gauss2d::fit::loglike_image , lsst::gauss2d::fit::loglike_grad ,   lsst::gauss2d::fit::jacobian }
	Valid modes to initialize lsst::gauss2d::GaussianEvaluator instances for. More...