Locally Growing Random Trees for Gaussian Processes
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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 availabel 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/


Contents
========

.. toctree::
    :maxdepth: 1

    demo_1D
    specs