Metadata-Version: 2.1
Name: lassonet
Version: 0.0.3
Summary: Reference implementation of LassoNet
Home-page: https://github.com/ilemhadri/lassonet
Author: Louis Abraham, Ismael Lemhadri
Author-email: louis.abraham@yahoo.fr, lemhadri@stanford.edu
License: MIT
Description: [![PyPI version](https://badge.fury.io/py/lassonet.svg)](https://badge.fury.io/py/lassonet)
        
        # LassoNet
        
        This project is about performing feature selection in neural networks.
        At the moment, we support fully connected feed-forward neural networks.
        LassoNet is based on the work presented in [this paper](https://arxiv.org/abs/1907.12207) ([bibtex here for citation](https://github.com/lasso-net/lassonet/blob/master/citation.bib)).
        Here is a link to the promo video:
        
        <a href="https://www.youtube.com/watch?v=bbqpUfxA_OA" target="_blank"><img src="https://raw.githubusercontent.com/lasso-net/lassonet/master/docs/images/video_screenshot.png" width="450" alt="Promo Video"/></a>
        
        ### Code
        
        We have designed the code to follow scikit-learn's standards to the extent possible (e.g. [linear_model.Lasso](https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.Lasso.html)).
        
        To install it,
        
        ```
        pip install lassonet
        ```
        
        Our plan is to add more functionality that help users understand the important features in neural networks.
        
        ### Website
        
        LassoNet's website is [https://lassonet.ml](https://lassonet.ml). It contains many useful references including the paper, live talks and additional documentation.
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6.5
Description-Content-Type: text/markdown
