Metadata-Version: 2.1
Name: attributionpriors
Version: 0.1.1
Summary: Tools for training explainable models using attribution priors.
Home-page: https://github.com/suinleelab/attributionpriors
Author: The Lee Lab at UW
Author-email: psturm@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
Description-Content-Type: text/markdown
Requires-Dist: numpy
Requires-Dist: tensorflow


This package contains tools to train deep learning models using attribution priors.
Through attribution priors, practitioners can constraint models to 
behave more intuitively on a wide variety of tasks. For usage guidelines,
see [the GitHub repo](https://github.com/suinleelab/attributionpriors).
For more details about how to use attribution priors, see [the arXiv paper](https://arxiv.org/abs/1906.10670).


