Metadata-Version: 2.1
Name: GPViz
Version: 0.0.1
Summary: A Python package for Gaussian process visualisation.
Home-page: UNKNOWN
Author: Thomas Pinder
Author-email: t.pinder2@lancaster.ac.uk
License: LICENSE
Keywords: gaussian-processes jax machine-learning bayesian
Platform: UNKNOWN
Requires-Dist: gpjax (>=0.3.7)
Requires-Dist: matplotlib
Requires-Dist: mplcyberpunk (==0.1.11)
Provides-Extra: dev
Requires-Dist: black ; extra == 'dev'
Requires-Dist: isort ; extra == 'dev'
Requires-Dist: pylint ; extra == 'dev'
Requires-Dist: flake8 ; extra == 'dev'
Provides-Extra: docs
Requires-Dist: furo (==2020.12.30b24) ; extra == 'docs'
Requires-Dist: nbsphinx (==0.8.1) ; extra == 'docs'
Requires-Dist: nb-black (==1.0.7) ; extra == 'docs'
Requires-Dist: matplotlib (==3.3.3) ; extra == 'docs'
Requires-Dist: sphinx-copybutton (==0.3.5) ; extra == 'docs'
Provides-Extra: tests
Requires-Dist: pytest ; extra == 'tests'

GPViz provides a convenient interface to GPJax that facilitates flexible plotting of Gaussian process priors, posterios, kernels and datasets.


