gaussianProcess.cc File Reference

#include <pybind11/pybind11.h>
#include <pybind11/stl.h>
#include "ndarray/pybind11.h"
#include "lsst/afw/math/GaussianProcess.h"

Go to the source code of this file.

Functions
template<typename T >
void	declareKdTree (py::module &mod, const std::string &suffix)
template<typename T >
void	declareCovariograms (py::module &mod, const std::string &suffix)
template<typename T >
void	declareGaussianProcess (py::module &mod, const std::string &suffix)
	PYBIND11_MODULE (gaussianProcess, mod)

Function Documentation

declareCovariograms()

template<typename T >

void declareCovariograms	(	py::module &	mod,
		const std::string &	suffix
	)

Definition at line 50 of file gaussianProcess.cc.

                                                                 {
    /* Covariogram */
    py::class_<Covariogram<T>, std::shared_ptr<Covariogram<T>>> clsCovariogram(
            mod, ("Covariogram" + suffix).c_str());
    clsCovariogram.def(py::init<>());
    clsCovariogram.def("__call__", &Covariogram<T>::operator());
 
    /* SquaredExpCovariogram */
    py::class_<SquaredExpCovariogram<T>, std::shared_ptr<SquaredExpCovariogram<T>>, Covariogram<T>>
            clsSquaredExpCovariogram(mod, ("SquaredExpCovariogram" + suffix).c_str());
    clsSquaredExpCovariogram.def(py::init<>());
    clsSquaredExpCovariogram.def("__call__", &SquaredExpCovariogram<T>::operator());
    clsSquaredExpCovariogram.def("setEllSquared", &SquaredExpCovariogram<T>::setEllSquared);
 
    /* SquaredExpCovariogram */
    py::class_<NeuralNetCovariogram<T>, std::shared_ptr<NeuralNetCovariogram<T>>, Covariogram<T>>
            clsNeuralNetCovariogram(mod, ("NeuralNetCovariogram" + suffix).c_str());
    clsNeuralNetCovariogram.def(py::init<>());
    clsNeuralNetCovariogram.def("setSigma0", &NeuralNetCovariogram<T>::setSigma0);
    clsNeuralNetCovariogram.def("setSigma1", &NeuralNetCovariogram<T>::setSigma1);
};

declareGaussianProcess()

template<typename T >

void declareGaussianProcess	(	py::module &	mod,
		const std::string &	suffix
	)

Definition at line 73 of file gaussianProcess.cc.

                                                                    {
    py::class_<GaussianProcess<T>> clsGaussianProcess(mod, ("GaussianProcess" + suffix).c_str());
    /* Constructors */
    clsGaussianProcess.def(py::init<ndarray::Array<T, 2, 2> const &, ndarray::Array<T, 1, 1> const &,
                                    std::shared_ptr<Covariogram<T>> const &>());
    clsGaussianProcess.def(py::init<ndarray::Array<T, 2, 2> const &, ndarray::Array<T, 1, 1> const &,
                                    ndarray::Array<T, 1, 1> const &, ndarray::Array<T, 1, 1> const &,
                                    std::shared_ptr<Covariogram<T>> const &>());
    clsGaussianProcess.def(py::init<ndarray::Array<T, 2, 2> const &, ndarray::Array<T, 2, 2> const &,
                                    std::shared_ptr<Covariogram<T>> const &>());
    clsGaussianProcess.def(py::init<ndarray::Array<T, 2, 2> const &, ndarray::Array<T, 1, 1> const &,
                                    ndarray::Array<T, 1, 1> const &, ndarray::Array<T, 2, 2> const &,
                                    std::shared_ptr<Covariogram<T>> const &>());
    /* Members */
    clsGaussianProcess.def(
            "interpolate",
            (T (GaussianProcess<T>::*)(ndarray::Array<T, 1, 1>, ndarray::Array<T, 1, 1> const &, int) const) &
                    GaussianProcess<T>::interpolate);
    clsGaussianProcess.def("interpolate",
                           (void (GaussianProcess<T>::*)(ndarray::Array<T, 1, 1>, ndarray::Array<T, 1, 1>,
                                                         ndarray::Array<T, 1, 1> const &, int) const) &
                                   GaussianProcess<T>::interpolate);
    clsGaussianProcess.def("selfInterpolate",
                           (T (GaussianProcess<T>::*)(ndarray::Array<T, 1, 1>, int, int) const) &
                                   GaussianProcess<T>::selfInterpolate);
    clsGaussianProcess.def(
            "selfInterpolate",
            (void (GaussianProcess<T>::*)(ndarray::Array<T, 1, 1>, ndarray::Array<T, 1, 1>, int, int) const) &
                    GaussianProcess<T>::selfInterpolate);
    clsGaussianProcess.def("setLambda", &GaussianProcess<T>::setLambda);
    clsGaussianProcess.def("setCovariogram", &GaussianProcess<T>::setCovariogram);
    clsGaussianProcess.def("addPoint", (void (GaussianProcess<T>::*)(ndarray::Array<T, 1, 1> const &, T)) &
                                               GaussianProcess<T>::addPoint);
    clsGaussianProcess.def("addPoint", (void (GaussianProcess<T>::*)(ndarray::Array<T, 1, 1> const &,
                                                                     ndarray::Array<T, 1, 1> const &)) &
                                               GaussianProcess<T>::addPoint);
    clsGaussianProcess.def("batchInterpolate",
                           (void (GaussianProcess<T>::*)(ndarray::Array<T, 1, 1>, ndarray::Array<T, 1, 1>,
                                                         ndarray::Array<T, 2, 2> const &) const) &
                                   GaussianProcess<T>::batchInterpolate);
    clsGaussianProcess.def(
            "batchInterpolate",
            (void (GaussianProcess<T>::*)(ndarray::Array<T, 1, 1>, ndarray::Array<T, 2, 2> const &) const) &
                    GaussianProcess<T>::batchInterpolate);
    clsGaussianProcess.def("batchInterpolate",
                           (void (GaussianProcess<T>::*)(ndarray::Array<T, 2, 2>, ndarray::Array<T, 2, 2>,
                                                         ndarray::Array<T, 2, 2> const &) const) &
                                   GaussianProcess<T>::batchInterpolate);
    clsGaussianProcess.def(
            "batchInterpolate",
            (void (GaussianProcess<T>::*)(ndarray::Array<T, 2, 2>, ndarray::Array<T, 2, 2> const &) const) &
                    GaussianProcess<T>::batchInterpolate);
    clsGaussianProcess.def("setKrigingParameter", &GaussianProcess<T>::setKrigingParameter);
    clsGaussianProcess.def("removePoint", &GaussianProcess<T>::removePoint);
    clsGaussianProcess.def("getNPoints", &GaussianProcess<T>::getNPoints);
    clsGaussianProcess.def("getData",
                           (void (GaussianProcess<T>::*)(ndarray::Array<T, 2, 2>, ndarray::Array<T, 1, 1>,
                                                         ndarray::Array<int, 1, 1>) const) &
                                   GaussianProcess<T>::getData);
    clsGaussianProcess.def("getData",
                           (void (GaussianProcess<T>::*)(ndarray::Array<T, 2, 2>, ndarray::Array<T, 2, 2>,
                                                         ndarray::Array<int, 1, 1>) const) &
                                   GaussianProcess<T>::getData);
};

declareKdTree()

template<typename T >

void declareKdTree	(	py::module &	mod,
		const std::string &	suffix
	)

Definition at line 36 of file gaussianProcess.cc.

                                                           {
    py::class_<KdTree<T>> clsKdTree(mod, ("KdTree" + suffix).c_str());
    clsKdTree.def(py::init<>());
    clsKdTree.def("Initialize", &KdTree<T>::Initialize);
    clsKdTree.def("removePoint", &KdTree<T>::removePoint);
    clsKdTree.def("getData", (T (KdTree<T>::*)(int, int) const) & KdTree<T>::getData);
    clsKdTree.def("getData", (ndarray::Array<T, 1, 1> (KdTree<T>::*)(int) const) & KdTree<T>::getData);
    clsKdTree.def("addPoint", &KdTree<T>::addPoint);
    clsKdTree.def("getNPoints", &KdTree<T>::getNPoints);
    clsKdTree.def("getTreeNode", &KdTree<T>::getTreeNode);
    clsKdTree.def("findNeighbors", &KdTree<T>::findNeighbors);
};

PYBIND11_MODULE()

PYBIND11_MODULE	(	gaussianProcess	,
		mod
	)

Definition at line 138 of file gaussianProcess.cc.

                                      {
    declareCovariograms<double>(mod, "D");
    declareGaussianProcess<double>(mod, "D");
    declareKdTree<double>(mod, "D");
}