{ "info": { "author": "The Lee Lab at UW", "author_email": "psturm@cs.washington.edu", "bugtrack_url": null, "classifiers": [ "Intended Audience :: Science/Research", "License :: OSI Approved :: MIT License", "Operating System :: OS Independent", "Programming Language :: Python :: 3", "Topic :: Scientific/Engineering" ], "description": "\nThis package contains tools to train deep learning models using attribution priors.\nThrough attribution priors, practitioners can constraint models to \nbehave more intuitively on a wide variety of tasks. For usage guidelines,\nsee [the GitHub repo](https://github.com/suinleelab/attributionpriors).\nFor more details about how to use attribution priors, see [the arXiv paper](https://arxiv.org/abs/1906.10670).\n\n\n", "description_content_type": "text/markdown", "docs_url": null, "download_url": "", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "https://github.com/suinleelab/attributionpriors", "keywords": "", "license": "", "maintainer": "", "maintainer_email": "", "name": "attributionpriors", "package_url": "https://pypi.org/project/attributionpriors/", "platform": "", "project_url": "https://pypi.org/project/attributionpriors/", "project_urls": { "Homepage": "https://github.com/suinleelab/attributionpriors" }, "release_url": "https://pypi.org/project/attributionpriors/0.1.2/", "requires_dist": [ "numpy", "tensorflow" ], "requires_python": "", "summary": "Tools for training explainable models using attribution priors.", "version": "0.1.2" }, 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