{ "info": { "author": "Theo Dedeken", "author_email": "theo.dedeken@telenet.be", "bugtrack_url": null, "classifiers": [ "License :: OSI Approved :: MIT License", "Operating System :: OS Independent", "Programming Language :: Python :: 3" ], "description": "# dimdrop\n**Dimensionality reduction using Neural Networks**\n\nA collection of dimensionality reduction methods using neural networks.\n\n## Installation\n### From PyPi\n```bash\npip install dimdrop\n```\n\n### From source\n```bash\ngit clone https://github.com/theodedeken/dimdrop\ncd dimdrop\npip install .\n```\n\n## Documentation\nDocumentation can be found [here](https://theodedeken.github.io/dimdrop)\n\n## Contributing\nView the guidelines [here](CONTRIBUTING.md)\n\n## License\n[MIT](LICENSE)\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/theodedeken/dimdrop", "keywords": "", "license": "", "maintainer": "", "maintainer_email": "", "name": "dimdrop", "package_url": "https://pypi.org/project/dimdrop/", "platform": "", "project_url": "https://pypi.org/project/dimdrop/", "project_urls": { "Homepage": "https://github.com/theodedeken/dimdrop" }, "release_url": "https://pypi.org/project/dimdrop/0.1.0/", "requires_dist": [ "numpy", "keras", "sklearn" ], "requires_python": "", "summary": "Providing some dimensionality reduction methods using Machine Learning", "version": "0.1.0" }, "last_serial": 5638588, "releases": { "0.1.0": [ { "comment_text": "", "digests": { "md5": "8c4e32cf4c2c5ce9f62b8ab5c3ced62e", "sha256": "eac3cefdaf77e6e7d3a2cbeee97b230d8843296e18c2d35d014882794ac5bc14" }, "downloads": -1, "filename": "dimdrop-0.1.0-py3-none-any.whl", "has_sig": false, "md5_digest": "8c4e32cf4c2c5ce9f62b8ab5c3ced62e", "packagetype": "bdist_wheel", "python_version": "py3", "requires_python": null, "size": 22756, "upload_time": "2019-08-06T09:14:53", "url": "https://files.pythonhosted.org/packages/96/3c/e439d2ddf65901ebdca058ad3d7f01118680abf81a191cf78e947aea1fd7/dimdrop-0.1.0-py3-none-any.whl" }, { "comment_text": "", "digests": { "md5": "b2dd668faecfa367f2666be7cae7fc89", "sha256": "e5b0275c8d98ba81c176480718eba14abf1686188c8bd77cbcc1f4d890fb32ea" }, "downloads": -1, "filename": "dimdrop-0.1.0.tar.gz", "has_sig": false, "md5_digest": "b2dd668faecfa367f2666be7cae7fc89", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 14687, "upload_time": "2019-08-06T09:14:56", "url": "https://files.pythonhosted.org/packages/e0/d2/6f36d50ae0cf65f45219c194760807a665ecd41e53b75e67b6f3e886423e/dimdrop-0.1.0.tar.gz" } ] }, "urls": [ { "comment_text": "", "digests": { "md5": "8c4e32cf4c2c5ce9f62b8ab5c3ced62e", "sha256": "eac3cefdaf77e6e7d3a2cbeee97b230d8843296e18c2d35d014882794ac5bc14" }, "downloads": -1, "filename": "dimdrop-0.1.0-py3-none-any.whl", "has_sig": false, "md5_digest": "8c4e32cf4c2c5ce9f62b8ab5c3ced62e", "packagetype": "bdist_wheel", "python_version": "py3", "requires_python": null, "size": 22756, "upload_time": "2019-08-06T09:14:53", "url": "https://files.pythonhosted.org/packages/96/3c/e439d2ddf65901ebdca058ad3d7f01118680abf81a191cf78e947aea1fd7/dimdrop-0.1.0-py3-none-any.whl" }, { "comment_text": "", "digests": { "md5": "b2dd668faecfa367f2666be7cae7fc89", "sha256": "e5b0275c8d98ba81c176480718eba14abf1686188c8bd77cbcc1f4d890fb32ea" }, "downloads": -1, "filename": "dimdrop-0.1.0.tar.gz", "has_sig": false, "md5_digest": "b2dd668faecfa367f2666be7cae7fc89", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 14687, "upload_time": "2019-08-06T09:14:56", "url": "https://files.pythonhosted.org/packages/e0/d2/6f36d50ae0cf65f45219c194760807a665ecd41e53b75e67b6f3e886423e/dimdrop-0.1.0.tar.gz" } ] }