Metadata-Version: 2.3
Name: affinis
Version: 0.8.0
Summary: Tools for inferring relations from binary co-occurrence data
Keywords: network analysis,sparse matrix,covariance shrinkage,binary data,structure learning,edge prediction,filtering,feature learning,multi-label,graph theory,scientific-software,tools
Author: Rachael Sexton
Author-email: Rachael Sexton <rtbs@nist.gov>
Requires-Dist: scipy~=1.10
Requires-Dist: sparse~=0.15
Requires-Dist: jaxtyping~=0.3
Requires-Dist: plum-dispatch~=2.6
Requires-Dist: contingency-tools~=0.2
Requires-Dist: makefun>=1.16.0
Requires-Dist: joblib>=1.6.0
Maintainer: Rachael Sexton
Maintainer-email: Rachael Sexton <gh@rtbs.dev>
Requires-Python: >=3.11
Project-URL: source, https://github.com/usnistgov/affinis
Project-URL: documentation, https://pages.nist.gov/affinis
Project-URL: homepage, https://data.nist.gov/od/id/mds2-4107
