Metadata-Version: 2.1
Name: lgrt4gps
Version: 0.0.2
Summary: Locally growing random trees for Gaussian processes
Home-page: https://github.com/jumlauft/LGRT4GPs
Author: Jonas Umlauft
Author-email: jumlauft@gmail.com
License: MIT
Platform: UNKNOWN
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Requires-Dist: numpy
Requires-Dist: scipy
Requires-Dist: paramz
Requires-Dist: gpy
Requires-Dist: six
Requires-Dist: binarytree
Requires-Dist: matplotlib

Locally Growing Random Trees for Gaussian Processes
---------------------------------------------------

Welcome to the documentation for **lgrt4gps**!

**lgrt4gps** is a Python library which provides a simple API for 
locally growing random trees for Gaussian processes.
For more details, we refer to the publication on ArXiv_.
Written by Jonas Umlauft and Patricia M. Strutz.

Requirements
============

- Python 3.6+

Documentation
=============

A documentation is available on readthedocs_.
The academic publication can be found at ArXiv_.

Installation
============

To install a stable version from PyPi_:

.. code-block:: bash

    ~$ pip install lgrt4gps

The latest version is available on GitHub_:



.. _PyPi: https://pypi.org/project/lgrt4gps/
.. _GitHub: https://github.com/jumlauft/LGRT4GPs
.. _ArXiv: https://arxiv.org/abs/2006.09446
.. _readthedocs: https://lgrt4gps.readthedocs.io/en/latest/


