Metadata-Version: 2.1
Name: dl-selection
Version: 0.0.2
Summary: Feature selection for deep learning models.
Home-page: https://github.com/icc2115/dl-selection/
Author: Ian Covert
Author-email: icovert@cs.washington.edu
License: UNKNOWN
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering
Requires-Python: >=3.6
Description-Content-Type: text/markdown
Requires-Dist: numpy
Requires-Dist: torch


The **dl-selection** package contains tools for performing feature 
selection with deep learning models. It currently has three mechanisms 
for selecting features, each of which relies on a stochastic relaxation 
of the feature selection problem. See the 
[GitHub page](https://github.com/icc2115/dl-selection/) for more 
details.


