Metadata-Version: 2.1
Name: optbinning
Version: 0.14.1
Summary: OptBinning: The Python Optimal Binning library
Home-page: https://github.com/guillermo-navas-palencia/optbinning
Author: Guillermo Navas-Palencia
Author-email: g.navas.palencia@gmail.com
License: Apache Licence 2.0
Platform: any
Classifier: Topic :: Scientific/Engineering :: Mathematics
Classifier: Topic :: Software Development :: Libraries
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Education
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Requires-Python: >=3.7
Requires-Dist: matplotlib
Requires-Dist: numpy (>=1.16.1)
Requires-Dist: ortools (>=7.2)
Requires-Dist: pandas
Requires-Dist: ropwr (>=0.2.0)
Requires-Dist: scikit-learn (>=0.22.0)
Requires-Dist: scipy (>=1.6.0)
Provides-Extra: distributed
Requires-Dist: pympler ; extra == 'distributed'
Requires-Dist: tdigest ; extra == 'distributed'


The optimal binning is the optimal discretization of a variable into bins
given a discrete or continuous numeric target. OptBinning is a library
written in Python implementing a rigorous and flexible mathematical
programming formulation to solving the optimal binning problem for a binary,
continuous and multiclass target type, incorporating constraints not
previously addressed.

Read the documentation at: http://gnpalencia.org/optbinning/

OptBinning is distributed under the Apache Software License (Apache 2.0).


