.. lsqfitgp/docs/index.rst .. .. Copyright (c) 2020, 2022, 2023, Giacomo Petrillo .. .. This file is part of lsqfitgp. .. .. lsqfitgp is free software: you can redistribute it and/or modify .. it under the terms of the GNU General Public License as published by .. the Free Software Foundation, either version 3 of the License, or .. (at your option) any later version. .. .. lsqfitgp is distributed in the hope that it will be useful, .. but WITHOUT ANY WARRANTY; without even the implied warranty of .. MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the .. GNU General Public License for more details. .. .. You should have received a copy of the GNU General Public License .. along with lsqfitgp. If not, see . .. module:: lsqfitgp lsqfitgp ======== This is the documentation of the Python module :mod:`lsqfitgp`. It provides a simple but powerful interface to use Gaussian processes for inference. The code is open source, available on `github `_ under the `GNU General Public License `_. Gaussian processes are a statistical tool for fitting unknown functions. If you want to know more about Gaussian processes, the book `Gaussian Processes for Machine Learning `_ is a good reference available for free. However, understanding the technical details is not necessary to use the basic functionality of the module. To start, read the :ref:`installation` section, and then :ref:`sine`. To report bugs or request features, `open an issue `_ on github. Contents -------- .. toctree:: :maxdepth: 2 userguide/userguide.rst reference/reference.rst examplesref.rst development/development.rst * :ref:`genindex` * :ref:`search` Manual for older versions ------------------------- * `Latest development version `_ * `0.20.2 `_ * `0.20 `_ * `0.19 `_ * `0.18 `_ * `0.17 `_ * `0.16 `_ * `0.15 `_ * `0.14 `_ * `0.13 `_ * `0.12 `_ * `0.11 `_ * `0.10 `_ * `0.9 `_ * `0.8 `_