treegp is a python gaussian process code that perform 1D and 2D interpolation.
treegp have some specific features compared to other gaussian processes available code:
- It is possible to use informations from the 2-points correlation function to estimate hyperparameters
- It is possible to perform the gaussian process interpolation around a mean function
- Tools are given to compute the mean function
Waiting the paper, the description of the training can be found in french at least for the mean function here .
The easiest way to install is usually:
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:
git clone https://github.com/PFLeget/treegp.git cd treegp/ python setup.py install
treegp has for now the following dependencies (see the quick installs below):
- libraries listed in the requirements file
treegp is regularly tested on Python 2.7, 3.5, 3.6, and 3.7. It may work in other versions of Python (e.g. pypy or 3.8), but these are not currently supported.
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