treegp 1.0.0

treegp

[](https://github.com/PFLeget/treegp/actions) [](https://codecov.io/gh/PFLeget/treegp) [](https://treegp.readthedocs.io/en/latest/?badge=latest) [](https://arxiv.org/abs/2103.09881) [](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.