Metadata-Version: 2.1
Name: cvxreg
Version: 0.0.7
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
Description-Content-Type: text/markdown
License-File: LICENSE

[![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 learing with convex regression models built on [`pyStoNED`](https://github.com/ds2010/pyStoNED). 

The core aims of this package are:
* make convex regression models "easy to call" from python,
* interface with [`pyStoNED`](https://github.com/ds2010/pyStoNED),
* 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 avaiable 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

