Metadata-Version: 2.4
Name: graphfla
Version: 0.2.5
Summary: A Python package for Graph-based Fitness Landscape Analysis.
Home-page: https://github.com/COLA-Laboratory/GraphFLA/tree/main
Author: Mingyu Huang
Author-email: m.huang.gla@outlook.com
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Scientific/Engineering :: Bio-Informatics
Classifier: Development Status :: 3 - Alpha
Requires-Python: >=3.8
Description-Content-Type: text/plain
License-File: LICENSE
Requires-Dist: joblib>=1.0.0
Requires-Dist: numpy>=1.19
Requires-Dist: pandas>=1.1
Requires-Dist: python-igraph>=0.9
Requires-Dist: scikit-learn>=0.24
Requires-Dist: scipy>=1.6.0
Requires-Dist: tqdm>=4.40
Dynamic: author
Dynamic: author-email
Dynamic: classifier
Dynamic: description
Dynamic: description-content-type
Dynamic: home-page
Dynamic: license-file
Dynamic: requires-dist
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graphfla: A Python package for Graph-based Fitness Landscape Analysis.
========================================================
graphfla provides tools for generating, constructing, analyzing and 
manipulating fitness landscapes commonly encountered in evolutionary biology 
and black-box optimization. It includes a variety of features chacterizing
different aspects of fitness landscape topography, such as ruggedness,
navigability, neutrality, and epistasis.
