Metadata-Version: 2.1
Name: fri
Version: 7.0.0rc0
Summary: Implementation of Feature Relevance Bounds method to perform Feature Selection and further analysis.
Home-page: https://fri.lpfann.me
License: MIT
Keywords: feature selection,linear models,machine learning
Author: Lukas Pfannschmidt
Author-email: lukas@lpfann.me
Requires-Python: >=3.6,<4.0
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Topic :: Scientific/Engineering :: Bio-Informatics
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Classifier: Topic :: Scientific/Engineering :: Medical Science Apps.
Requires-Dist: cvxpy (==1.0.24)
Requires-Dist: ecos (>=2.0.5,<3.0.0)
Requires-Dist: joblib (>=0.13.2,<0.14.0)
Requires-Dist: matplotlib (>=3.1,<4.0)
Requires-Dist: numpy (>=1.17,<2.0)
Requires-Dist: scikit-learn (>=0.21.1,<0.22.0)
Requires-Dist: scipy (>=1.0,<2.0)
Project-URL: Repository, https://github.com/lpfann/fri
