Metadata-Version: 2.4
Name: cvxreg
Version: 0.1.14
Summary: A Python Package for Convex Regression
Home-page: https://github.com/ConvexRegression/cvxreg
Download-URL: https://pypi.org/project/cvxreg/
Author: Zhiqiang Liao
Author-email: zhiqiang.liao@aalto.fi
License: MIT
Keywords: ML,Prediction,Regression
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Science/Research
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.7
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: numpy>=1.19.2
Requires-Dist: pandas>=1.1.3
Requires-Dist: scipy>=1.5.2
Requires-Dist: cvxpy>=1.1.7
Requires-Dist: scikit-learn>=0.23.2
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Dynamic: description
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[![New release](https://img.shields.io/github/v/release/ConvexRegression/cvxreg?display_name=tag&label=Lastest&color=%234B78E6)](https://github.com/ConvexRegression/cvxreg/releases)
[![Documentation Status](https://readthedocs.org/projects/cvxreg/badge/?version=latest)](https://cvxreg.readthedocs.io/en/latest/?badge=latest)
[![PyPI downloads](https://img.shields.io/pypi/dm/cvxreg.svg?maxAge=21600)](https://pypistats.org/packages/cvxreg)

**cvxreg** is a Python package for machine learning with convex regression models built on [`CVXPY`](https://www.cvxpy.org). 

The core aims of this package are:
* make convex regression models "easy to call" from Python,
* interface with [`CVXPY`](https://www.cvxpy.org),
* focus on a "machine learning" perspective, i.e.: predictive task, hyper-parameters should be obtained by a data-driven method such as cross-validation.

## Installation

The [`cvxreg`](https://pypi.org/project/pycreg) package is now available on PyPI and the latest development version can be installed from the GitHub repository [`ConvexRegression`](https://github.com/ConvexRegression/cvxreg). Please feel free to download and test it. We welcome any bug reports and feedback.

#### PyPI 

    pip install cvxreg

