Metadata-Version: 2.4
Name: ropwr
Version: 1.2.0
Summary: RoPWR: Robust Piecewise Regression
Home-page: https://github.com/guillermo-navas-palencia/ropwr
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 :: 3.10
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-Python: >=3.10
License-File: LICENSE
Requires-Dist: cvxpy>=1.6
Requires-Dist: numpy>=1.16
Requires-Dist: scikit-learn>=1.6.0
Requires-Dist: scipy>=1.6.1
Provides-Extra: test
Requires-Dist: pytest; extra == "test"
Requires-Dist: coverage; extra == "test"
Requires-Dist: flake8; extra == "test"
Provides-Extra: ecos
Requires-Dist: ecos; extra == "ecos"
Dynamic: author
Dynamic: author-email
Dynamic: classifier
Dynamic: description
Dynamic: home-page
Dynamic: license
Dynamic: license-file
Dynamic: platform
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**RoPWR** is a library written in Python implementing several mathematical
programming formulations to compute the optimal continuous/discontinuous
piecewise polynomial regression given a list of split points.

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

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