{ "info": { "author": "Balaji Veeramani", "author_email": "bveeramani@berkeley.edu", "bugtrack_url": null, "classifiers": [ "License :: OSI Approved :: Apache Software License", "Operating System :: OS Independent", "Programming Language :: Python :: 3" ], "description": "# Hibachi\n**Hibachi** is a Python package that implements feature selection methods for\nPyTorch.\n\n## Installation\nRun the following command:\n\n```\npip install hibachi\n```\n\n## References\n```\n@incollection {\n NIPS2017_7270,\n title = {Kernel Feature Selection via Conditional Covariance Minimization},\n author = {Chen, Jianbo and Stern, Mitchell and Wainwright, Martin J and\n Jordan, Michael I},\n booktitle = {Advances in Neural Information Processing Systems 30},\n editor = {I. Guyon and U. V. Luxburg and S. Bengio and H. Wallach and R.\n Fergus and S. Vishwanathan and R. Garnett},\n pages = {6949--6958},\n year = {2017},\n publisher = {Curran Associates, Inc.},\n url = {http://papers.nips.cc/paper/7270-kernel-feature-selection-via-conditional-covariance-minimization.pdf}\n}\n```\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/bveeramani/hibachi", "keywords": "", "license": "", "maintainer": "", "maintainer_email": "", "name": "hibachi", "package_url": "https://pypi.org/project/hibachi/", "platform": "", "project_url": "https://pypi.org/project/hibachi/", "project_urls": { "Homepage": "https://github.com/bveeramani/hibachi" }, "release_url": "https://pypi.org/project/hibachi/0.0.1/", "requires_dist": null, "requires_python": "", "summary": "Feature selection methods for PyTorch", "version": "0.0.1" }, "last_serial": 5652705, "releases": { "0.0.1": [ { "comment_text": "", "digests": { "md5": "797fcd9711aead668bc6f902ec45a447", "sha256": "f2057516afbc26571b91e6336804e87e41ec2546bdcc2519c8b885c8344cc55e" }, "downloads": -1, "filename": "hibachi-0.0.1-py3-none-any.whl", "has_sig": false, "md5_digest": "797fcd9711aead668bc6f902ec45a447", "packagetype": "bdist_wheel", "python_version": "py3", "requires_python": null, "size": 13241, "upload_time": "2019-08-08T23:34:40", "url": "https://files.pythonhosted.org/packages/b1/bf/a585ac5dd61f7b8638b26360b32b6259a818f0b35c39155a5be81db914dd/hibachi-0.0.1-py3-none-any.whl" }, { "comment_text": "", "digests": { "md5": "22353082863a5b22892394d2262694d7", "sha256": "4a44f129a275c5f51e2769febf29ab8af0670adbb07cebc9e4ec3bf01aa033fb" }, "downloads": -1, "filename": "hibachi-0.0.1.tar.gz", "has_sig": false, "md5_digest": "22353082863a5b22892394d2262694d7", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 4791, "upload_time": "2019-08-08T23:34:42", "url": "https://files.pythonhosted.org/packages/31/57/c052676fabaed0b392caa893ac94b147f1c1d1710d88bf498fb2512d3479/hibachi-0.0.1.tar.gz" } ] }, "urls": [ { "comment_text": "", "digests": { "md5": "797fcd9711aead668bc6f902ec45a447", "sha256": "f2057516afbc26571b91e6336804e87e41ec2546bdcc2519c8b885c8344cc55e" }, "downloads": -1, "filename": "hibachi-0.0.1-py3-none-any.whl", "has_sig": false, "md5_digest": "797fcd9711aead668bc6f902ec45a447", "packagetype": "bdist_wheel", "python_version": "py3", "requires_python": null, "size": 13241, "upload_time": "2019-08-08T23:34:40", "url": "https://files.pythonhosted.org/packages/b1/bf/a585ac5dd61f7b8638b26360b32b6259a818f0b35c39155a5be81db914dd/hibachi-0.0.1-py3-none-any.whl" }, { "comment_text": "", "digests": { "md5": "22353082863a5b22892394d2262694d7", "sha256": "4a44f129a275c5f51e2769febf29ab8af0670adbb07cebc9e4ec3bf01aa033fb" }, "downloads": -1, "filename": "hibachi-0.0.1.tar.gz", "has_sig": false, "md5_digest": "22353082863a5b22892394d2262694d7", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 4791, "upload_time": "2019-08-08T23:34:42", "url": "https://files.pythonhosted.org/packages/31/57/c052676fabaed0b392caa893ac94b147f1c1d1710d88bf498fb2512d3479/hibachi-0.0.1.tar.gz" } ] }