{ "info": { "author": "Scikit Flow Authors", "author_email": "terrytangyuan@Gmail.com", "bugtrack_url": null, "classifiers": [ "Intended Audience :: Science/Research", "Operating System :: OS Independent", "Programming Language :: Python", "Topic :: Scientific/Engineering" ], "description": "WARNING: We are not maintaining PyPi package anymore. Please install TensorFlow and install Scikit Flow from there. \r\n\r\nThis is a simplified interface for TensorFlow, to get people started on\r\npredictive analytics and data mining.\r\n\r\nLibrary covers variety of needs from linear models to Deep Learning\r\napplications like text and image understanding.\r\n\r\nWhy TensorFlow? \r\n\r\n- TensorFlow provides a good backbone for building different shapes of machine learning applications. \r\n- It will continue to evolve both in the distributed direction and as general pipelinining machinery.\r\n\r\nWhy Scikit Flow? \r\n\r\n- To smooth the transition from the Scikit Learn\r\nworld of one-liner machine learning into the more open world of building\r\ndifferent shapes of ML models. You can start by using fit/predict and\r\nslide into TensorFlow APIs as you are getting comfortable. \r\n- To provide a set of reference models that would be easy to integrate with existing code.", "description_content_type": null, "docs_url": null, "download_url": "UNKNOWN", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "https://github.com/tensorflow/skflow", "keywords": "Deep Learning,Neural Networks,Google,TensorFlow,Machine Learning", "license": "Apache-2", "maintainer": "", "maintainer_email": "", "name": "skflow", "package_url": "https://pypi.org/project/skflow/", "platform": "UNKNOWN", "project_url": "https://pypi.org/project/skflow/", "project_urls": { "Download": "UNKNOWN", "Homepage": "https://github.com/tensorflow/skflow" }, "release_url": "https://pypi.org/project/skflow/0.1.0/", "requires_dist": null, "requires_python": null, "summary": "Simplified Interface for TensorFlow for Deep Learning", "version": "0.1.0" }, "last_serial": 2219889, "releases": { "0.1.0": [ { "comment_text": "", "digests": { "md5": "6710cdb68b8ca6bb046e40dcd758a4e2", "sha256": "1e10998e2dfb3bc76417efe597d72647b1bf4642f6e6ce5ee9426e57ffab3876" }, "downloads": -1, "filename": "skflow-0.1.0.tar.gz", "has_sig": false, "md5_digest": "6710cdb68b8ca6bb046e40dcd758a4e2", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 35084, "upload_time": "2016-02-14T19:17:58", "url": "https://files.pythonhosted.org/packages/dd/e9/6b78ca459cfa78fdcfaa4c8182840f802c022d7221b5112978034390dae6/skflow-0.1.0.tar.gz" } ] }, "urls": [ { "comment_text": "", "digests": { "md5": "6710cdb68b8ca6bb046e40dcd758a4e2", "sha256": "1e10998e2dfb3bc76417efe597d72647b1bf4642f6e6ce5ee9426e57ffab3876" }, "downloads": -1, "filename": "skflow-0.1.0.tar.gz", "has_sig": false, "md5_digest": "6710cdb68b8ca6bb046e40dcd758a4e2", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 35084, "upload_time": "2016-02-14T19:17:58", "url": "https://files.pythonhosted.org/packages/dd/e9/6b78ca459cfa78fdcfaa4c8182840f802c022d7221b5112978034390dae6/skflow-0.1.0.tar.gz" } ] }