Metadata-Version: 2.1
Name: GPErks
Version: 0.1.0
Summary: A Python library to (bene)fit Gaussian Process Emulators.
Home-page: https://github.com/stelong/GPErks
Author: Stefano Longobardi, Gianvito Taneburgo
Author-email: stefano.longobardi.8@gmail.com, taneburgo+shadowtemplate@gmail.com
License: MIT
Project-URL: Bug Tracker, https://github.com/stelong/GPErks/issues
Project-URL: Source Code, https://github.com/stelong/GPErks
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Environment :: Console
Classifier: Intended Audience :: Developers
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: Implementation :: CPython
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Requires-Python: >=3.6
Description-Content-Type: text/markdown
Provides-Extra: dev
License-File: LICENSE

# GPErks

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

---
## Information

**Status**: `Actively developed`

**Type**: `Personal project`

**Development years**: `2020-2021`

**Authors**: [stelong](https://github.com/stelong), [ShadowTemplate](https://github.com/ShadowTemplate)

---
## Getting Started

### Prerequisites

* [Python3](https://www.python.org/) (>=3.8)
* [virtualenv](https://pypi.org/project/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](https://github.com/stelong) and [ShadowTemplate](https://github.com/ShadowTemplate) are the only maintainers. Any contribution is welcome!

---
## License

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

---
*This README.md complies with [this project template](
https://github.com/ShadowTemplate/project-template). Feel free to adopt it
and reuse it.*

