Metadata-Version: 2.1
Name: gues
Version: 0.3.0
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"
Requires-Dist: p-tqdm~=1.4.0; 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.
