Metadata-Version: 2.4
Name: maxentsolver
Version: 0.2.5
Summary: A Python package for fitting maximum entropy models to BOLD time-series data. The toolkit automatically binarizes fMRI/BOLD signals, constructs pairwise maximum entropy (MaxEnt) models, and provides utilities to analyze the inferred interaction network. Most functionality is not implemented yet.
License: MIT
License-File: LICENSE
Author: Marc Vöhringer Carrera
Requires-Python: >=3.10
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: 3.13
Classifier: Programming Language :: Python :: 3.14
Requires-Dist: matplotlib (>=1.0.0,<4.0.0)
Requires-Dist: numpy (>=1.0.0,<3.0.0)
Requires-Dist: torch (>=2.0.0,<3.0.0)
Description-Content-Type: text/markdown

# maxentsolver
A Python package for fitting maximum entropy models to BOLD time-series data. The toolkit automatically binarizes fMRI/BOLD signals, constructs pairwise maximum entropy (MaxEnt) models, and provides utilities to analyze the inferred interaction network.

