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LSST Data Management Base Package
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gaussianprior.cc
Go to the documentation of this file.
1/*
2 * This file is part of gauss2d_fit.
3 *
4 * Developed for the LSST Data Management System.
5 * This product includes software developed by the LSST Project
6 * (https://www.lsst.org).
7 * See the COPYRIGHT file at the top-level directory of this distribution
8 * for details of code ownership.
9 *
10 * This program is free software: you can redistribute it and/or modify
11 * it under the terms of the GNU General Public License as published by
12 * the Free Software Foundation, either version 3 of the License, or
13 * (at your option) any later version.
14 *
15 * This program is distributed in the hope that it will be useful,
16 * but WITHOUT ANY WARRANTY; without even the implied warranty of
17 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
18 * GNU General Public License for more details.
19 *
20 * You should have received a copy of the GNU General Public License
21 * along with this program. If not, see <https://www.gnu.org/licenses/>.
22 */
23
24#include <memory>
25
26#include <pybind11/pybind11.h>
27#include <pybind11/stl.h>
28
32
33#include "pybind11.h"
34
35namespace py = pybind11;
36using namespace pybind11::literals;
37
38namespace g2f = lsst::gauss2d::fit;
39
40void bind_gaussianprior(py::module &m) {
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.
void bind_gaussianprior(py::module &m)