Metadata-Version: 2.1
Name: gpr-complex
Version: 0.3.1
Summary: A GPR library that can work with complex numbers
Home-page: https://github.com/darcamo/gpr_complex
License: MIT
Keywords: GPR,complex
Author: Darlan Cavalcante Moreira
Author-email: darcamo@gmail.com
Requires-Python: >=3.6,<4.0
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Topic :: Scientific/Engineering
Requires-Dist: bokeh
Requires-Dist: numpy
Requires-Dist: scipy
Project-URL: Repository, https://github.com/darcamo/gpr_complex
Description-Content-Type: text/markdown


[![pre-commit](https://img.shields.io/badge/pre--commit-enabled-brightgreen?logo=pre-commit&logoColor=white)](https://github.com/pre-commit/pre-commit)

A Gaussian Process Regression (GPR) library that can work with complex numbers.

# Development

For dependency management and publishing to [Pypi](https://pypi.org/) we use
[poetry](https://python-poetry.org/).

If you want to extend `gpr_complex`, clone it from the
[git repository](https://github.com/darcamo/gpr_complex), run
`poetry install` to create the virtual environment with the required
dependencies and run `pre-commit install` to install the commit hooks.

