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