Metadata-Version: 2.1
Name: gues
Version: 0.2.0
Summary: This package is for (hybrid and) score-based causal structure learning, using unconditional equivalence classes to reduce the search space.
Author: Alex Markham
Author-email: alex.markham@causal.dev
License: GNU Affero General Public License 3 or later (AGPL 3+)
Requires-Python: ~=3.11
Description-Content-Type: text/markdown
License-File: LICENSE.md
Requires-Dist: numpy
Provides-Extra: reproduce_astat
Requires-Dist: numpy (~=1.24.3) ; extra == 'reproduce_astat'
Requires-Dist: scipy (~=1.11.1) ; extra == 'reproduce_astat'
Requires-Dist: matplotlib (~=3.7.1) ; extra == 'reproduce_astat'
Requires-Dist: pandas (~=2.0.2) ; extra == 'reproduce_astat'
Requires-Dist: seaborn (~=0.12.2) ; extra == 'reproduce_astat'
Requires-Dist: big-O (~=0.11.0) ; extra == 'reproduce_astat'
Requires-Dist: pycurl (~=7.45.2) ; extra == 'reproduce_astat'

GUES is a Python package for score-based and hybrid causal structure learning, using unconditional equivalence classes to reduce the search space.
