treegp
Project description
[![Build Status](https://github.com/PFLeget/treegp/actions/workflows/test_treegp.yaml/badge.svg)](https://github.com/PFLeget/treegp/actions) [![Codecov](https://codecov.io/gh/PFLeget/treegp/branch/master/graph/badge.svg)](https://codecov.io/gh/PFLeget/treegp) [![Read the Docs](https://readthedocs.org/projects/treegp/badge/?version=latest)](https://treegp.readthedocs.io/en/latest/?badge=latest) [![astro-ph.IM](https://img.shields.io/badge/astro–ph.IM-2103.09881-red)](https://arxiv.org/abs/2103.09881) [![DOI](https://img.shields.io/badge/DOI-10.1051%2F0004–6361%2F202140463-blue.svg)](https://doi.org/10.1051/0004-6361/202140463)
## Overview
treegp is a python gaussian process code that perform 1D and 2D interpolation.
treegp has some special features compared to other available Gaussian Processes codes:
Hyperparameters estimation will scale in $cal{O}(n log(n))$ with the 2-points correlation function estimation compared to $cal{O}(n^3)$ with the classical maximum likelihood.
Gaussian process interpolation can be performed around a mean function
A tool is provided to compute the mean function (meanify)
treegp was originally developed for Point Spread Function interpolation within [Piff](https://github.com/rmjarvis/Piff). There is a specific article that describes the math used in treegp in the context of modeling astrometric shifts of the Subaru Telescope due to atmospheric turbulences. This article can be found [here]( https://doi.org/10.1051/0004-6361/202140463).
## Installation
The easiest way to install is usually:
`bash pip install treegp `
which will install the latest released version.
If you would instead like to install the development version, you can do so via:
`bash git clone https://github.com/PFLeget/treegp.git cd treegp/ python setup.py install `
## Dependencies
treegp has for now the following dependencies (see the quick installs below):
libraries listed in the [requirements](requirements.txt) file
## Python
treegp is regularly tested on Python 3.7, 3.8, 3.9 and 3.10 It may work in other versions of Python (e.g. pypy), but these are not currently supported.
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