Metadata-Version: 2.1
Name: UNBAFFELD
Version: 0.2.4
Summary: UNified Bayesian Analysis Framework for Fusion ExperimentaL Data
Home-page: https://gitlab.com/efit-ai/unbaffeld
Author: EFIT-AI Team
Author-email: The EFIT-AI team <scott.e.kruger@gmail.com>, Scott Kruger <kruger@txcorp.com>, Jarrod Leddy <jleddy@txcorp.com>
License: BSD license
Project-URL: Homepage, https://gitlab.com/efit-ai/unbaffeld
Project-URL: Bug Tracker, https://gitlab.com/efit-ai/unbaffeld/-/issues
Keywords: unbaffeld
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: BSD License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.7
Description-Content-Type: text/x-rst
License-File: LICENSE
License-File: AUTHORS.rst
Requires-Dist: inference-tools >=0.12.0
Requires-Dist: numpy >=1.8
Requires-Dist: scipy >=1.6.3
Requires-Dist: h5py
Requires-Dist: matplotlib >=3.4.2

UNBAFFELD: UNified Bayesian Analysis Framework for Fusion ExperimentaL Data
===========================================================================

Code, mostly in python, for performing Bayesian analysis of fusion data.

Testing code for creating pipeline for unbaffeld

Demos:
==========
`Fitting TS data with GPR <https://gitlab.com/efit-ai/unbaffeld/-/blob/main/unbaffeld/gpr/notebooks/TSFit.ipynb>`_