LSST Applications  21.0.0+c4f5df5339,21.0.0+e70536a077,21.0.0-1-ga51b5d4+7c60f8a6ea,21.0.0-10-gcf60f90+74aa0801fd,21.0.0-12-g63909ac9+643a1044a5,21.0.0-15-gedb9d5423+1041c3824f,21.0.0-2-g103fe59+a356b2badb,21.0.0-2-g1367e85+6d3f3f41db,21.0.0-2-g45278ab+e70536a077,21.0.0-2-g5242d73+6d3f3f41db,21.0.0-2-g7f82c8f+8d7c04eab9,21.0.0-2-g8f08a60+9c9a9cfcc8,21.0.0-2-ga326454+8d7c04eab9,21.0.0-2-gde069b7+bedfc5e1fb,21.0.0-2-gecfae73+6cb6558258,21.0.0-2-gfc62afb+6d3f3f41db,21.0.0-3-g21c7a62+f6e98b25aa,21.0.0-3-g357aad2+bd62456bea,21.0.0-3-g4be5c26+6d3f3f41db,21.0.0-3-g65f322c+03a4076c01,21.0.0-3-g7d9da8d+c4f5df5339,21.0.0-3-gaa929c8+c6b98066dc,21.0.0-3-gc44e71e+a26d5c1aea,21.0.0-3-ge02ed75+04b527a9d5,21.0.0-35-g64f566ff+b27e5ef93e,21.0.0-4-g591bb35+04b527a9d5,21.0.0-4-g88306b8+8773047b2e,21.0.0-4-gc004bbf+80a0b7acb7,21.0.0-4-gccdca77+a5c54364a0,21.0.0-4-ge8fba5a+ccfc328107,21.0.0-5-gdf36809+87b8d260e6,21.0.0-6-g00874e7+7eeda2b6ba,21.0.0-6-g2d4f3f3+e70536a077,21.0.0-6-g4e60332+04b527a9d5,21.0.0-6-g5ef7dad+f53629abd8,21.0.0-7-gc8ca178+b63e69433b,21.0.0-8-gfbe0b4b+c6b98066dc,w.2021.06
LSST Data Management Base Package
Functions
leastSquares.cc File Reference
#include <pybind11/pybind11.h>
#include "ndarray/pybind11.h"
#include "lsst/afw/math/LeastSquares.h"

Go to the source code of this file.

Functions

template<typename T1 , typename T2 , int C1, int C2>
void declareLeastSquares (py::module &mod)
 
 PYBIND11_MODULE (leastSquares, mod)
 

Function Documentation

◆ declareLeastSquares()

template<typename T1 , typename T2 , int C1, int C2>
void declareLeastSquares ( py::module &  mod)

Definition at line 38 of file leastSquares.cc.

38  {
39  py::class_<LeastSquares> cls(mod, "LeastSquares");
40  py::enum_<LeastSquares::Factorization>(cls, "Factorization")
41  .value("NORMAL_EIGENSYSTEM", LeastSquares::Factorization::NORMAL_EIGENSYSTEM)
42  .value("NORMAL_CHOLESKY", LeastSquares::Factorization::NORMAL_CHOLESKY)
43  .value("DIRECT_SVD", LeastSquares::Factorization::DIRECT_SVD)
44  .export_values();
45  cls.def_static("fromDesignMatrix",
46  (LeastSquares(*)(ndarray::Array<T1, 2, C1> const &, ndarray::Array<T2, 1, C2> const &,
48  LeastSquares::fromDesignMatrix<T1, T2, C1, C2>,
49  "design"_a, "data"_a, "factorization"_a = LeastSquares::NORMAL_EIGENSYSTEM);
50  cls.def_static("fromNormalEquations",
51  (LeastSquares(*)(ndarray::Array<T1, 2, C1> const &, ndarray::Array<T2, 1, C2> const &,
53  LeastSquares::fromNormalEquations<T1, T2, C1, C2>,
54  "fisher"_a, "rhs"_a, "factorization"_a = LeastSquares::NORMAL_EIGENSYSTEM);
55  cls.def("getRank", &LeastSquares::getRank);
56  cls.def("setDesignMatrix",
57  (void (LeastSquares::*)(ndarray::Array<T1, 2, C1> const &, ndarray::Array<T2, 1, C2> const &)) &
58  LeastSquares::setDesignMatrix<T1, T2, C1, C2>);
59  cls.def("getDimension", &LeastSquares::getDimension);
60  cls.def("setNormalEquations",
61  (void (LeastSquares::*)(ndarray::Array<T1, 2, C1> const &, ndarray::Array<T2, 1, C2> const &)) &
62  LeastSquares::setNormalEquations<T1, T2, C1, C2>);
63  cls.def("getSolution", &LeastSquares::getSolution);
64  cls.def("getFisherMatrix", &LeastSquares::getFisherMatrix);
65  cls.def("getCovariance", &LeastSquares::getCovariance);
66  cls.def("getFactorization", &LeastSquares::getFactorization);
67  cls.def("getDiagnostic", &LeastSquares::getDiagnostic);
68  cls.def("getThreshold", &LeastSquares::getThreshold);
69  cls.def("setThreshold", &LeastSquares::setThreshold);
70 };
Solver for linear least-squares problems.
Definition: LeastSquares.h:67
Factorization
Private implementation; forward-declared publicly so we can inherit from it in .cc.
Definition: LeastSquares.h:71

◆ PYBIND11_MODULE()

PYBIND11_MODULE ( leastSquares  ,
mod   
)

Definition at line 72 of file leastSquares.cc.

72  {
73  declareLeastSquares<double, double, 0, 0>(mod);
74 }