Metadata-Version: 2.1
Name: viabel
Version: 0.3
Summary: Efficient, lightweight, variational inference and approximation bounds
Home-page: https://github.com/jhuggins/viabel/
Author: Jonathan H. Huggins
Author-email: huggins@bu.edu
License: UNKNOWN
Keywords: Bayesian inference,variational inference,Wasserstein distance,alpha-divergence
Platform: ALL
Classifier: Development Status :: 4 - Beta
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3.5
Requires-Python: >=2.7
Requires-Dist: numpy (>=1.13)
Provides-Extra: examples
Requires-Dist: scipy ; extra == 'examples'
Requires-Dist: autograd ; extra == 'examples'
Requires-Dist: tqdm ; extra == 'examples'
Requires-Dist: paragami ; extra == 'examples'
Requires-Dist: matplotlib ; extra == 'examples'
Requires-Dist: seaborn ; extra == 'examples'
Requires-Dist: pandas ; extra == 'examples'
Requires-Dist: pystan ; extra == 'examples'
Provides-Extra: vb
Requires-Dist: scipy ; extra == 'vb'
Requires-Dist: autograd ; extra == 'vb'
Requires-Dist: tqdm ; extra == 'vb'
Requires-Dist: paragami ; extra == 'vb'

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