https://github.com/omadson/mrsr

A Python module implementing the Multiresponse Sparse Regression algorithm algorithm.
https://github.com/omadson/mrsr

Last synced: 3 months ago
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A Python module implementing the Multiresponse Sparse Regression algorithm algorithm.

• Host: GitHub
• URL: https://github.com/omadson/mrsr
• Owner: omadson
• License: mit
• Created: 2020-10-15T16:54:56.000Z (over 4 years ago)
• Default Branch: master
• Last Pushed: 2020-10-15T17:47:15.000Z (over 4 years ago)
• Last Synced: 2025-01-22T09:51:45.903Z (4 months ago)
• Language: Python
• Size: 9.77 KB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# mrsr

![GitHub](https://img.shields.io/github/license/omadson/mrsr.svg)

[![PyPI](https://img.shields.io/pypi/v/mrsr.svg)](http://pypi.org/project/mrsr/)

[![GitHub commit activity](https://img.shields.io/github/commit-activity/w/omadson/mrsr.svg)](https://github.com/omadson/mrsr/pulse)

[![GitHub last commit](https://img.shields.io/github/last-commit/omadson/mrsr.svg)](https://github.com/omadson/mrsr/commit/master)

[![Downloads](https://pepy.tech/badge/mrsr)](https://pepy.tech/project/mrsr)

`mrsr` is a Python module implementing the [Multiresponse Sparse Regression algorithm][1] algorithm.

## instalation

the `mrsr` package is available in [PyPI](https://pypi.org/project/mrsr/). to install, simply type the following command:

```

pip install mrsr

```

## how to cite mrsr package

if you use `mrsr` package in your paper, please cite it in your publication.

```

@misc{mrsr,

    author       = "Madson Luiz Dantas Dias",

    year         = "2019",

    title        = "mrsr: a Python module implementing the Multiresponse Sparse Regression algorithm.",

    url          = "https://github.com/omadson/mrsr",

    institution  = "Federal University of Cear\'{a}, Department of Computer Science" 

}

```

## contributing

this project is open for contributions. here are some of the ways for you to contribute:

 - bug reports/fix

 - features requests

 - use-case demonstrations

to make a contribution, just fork this repository, push the changes in your fork, open up an issue, and make a pull request!

## contributors

 - [Madson Dias](https://github.com/omadson)

[1]: https://doi.org/10.1109/IJCNN.2006.246933

[2]: http://scikit-learn.org/