GPErks

A Python library to (bene)fit Gaussian Process Emulators.

Information

Status: Actively developed

Type: Personal project

Development years: 2020-2021

Authors: stelong, ShadowTemplate

Getting Started

Prerequisites

• Python3 (>=3.8)
• virtualenv (optional)

Installing

Create a Python3 virtual environment (optional)

python3 -m venv venv
source venv/bin/activate
pip install --upgrade pip setuptools wheel

Install using pip:

pip install GPErks

or, install from the project repository:

git clone https://github.com/stelong/GPErks.git
cd GPErks/
pip install .

Usage

Full documentation under construction. For the moment, please refer to the example notebooks.

Contributing

stelong and ShadowTemplate are the only maintainers. Any contribution is welcome!

License

This project is licensed under the MIT license. Please refer to the LICENSE.md file for details.

This README.md complies with this project template. Feel free to adopt it and reuse it.