cvxreg

Name	cvxreg JSON
Version	0.2.1 JSON
	download
home_page	https://github.com/ConvexRegression/cvxreg
Summary	A Python Package for Convex Regression
upload_time	2025-08-22 15:48:57
maintainer	None
docs_url	None
author	Zhiqiang Liao
requires_python	>=3.7
license	MIT
keywords	ml prediction regression
VCS
bugtrack_url
requirements	No requirements were recorded.
Travis-CI	No Travis.
coveralls test coverage	No coveralls.

            [![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


            

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