{ "info": { "author": "Vevo Engineering", "author_email": "engineering@vevo.com", "bugtrack_url": null, "classifiers": [ "Programming Language :: Python :: 2.7", "Programming Language :: Python :: 3.4", "Programming Language :: Python :: 3.5", "Programming Language :: Python :: 3.6" ], "description": "HiDi: Pipelines for Embeddings\n==============================\n\n.. image:: https://circleci.com/gh/VEVO/hidi/tree/master.svg?style=svg\n :target: https://circleci.com/gh/VEVO/hidi/tree/master\n\nHiDi is a library for high-dimensional embedding generation for collaborative\nfiltering applications.\n\nRead the `full documentation `_.\n\nHow Do I Use It?\n----------------\n\nThis will get you started.\n\n.. code-block:: python\n\n from hidi import inout, clean, matrix, pipeline\n\n\n # CSV file with link_id and item_id columns\n in_files = ['hidi/examples/data/user-item.csv']\n\n # File to write output data to\n outfile = 'embeddings.csv'\n\n transforms = [\n inout.ReadTransform(in_files), # Read data from disk\n clean.DedupeTransform(), # Dedupe it\n matrix.SparseTransform(), # Make a sparse user*item matrix\n matrix.SimilarityTransform(), # To item*item similarity matrix\n matrix.SVDTransform(), # Perform SVD dimensionality reduction\n matrix.ItemsMatrixToDFTransform(), # Make a DataFrame with an index\n inout.WriteTransform(outfile) # Write results to csv\n ]\n\n pl = pipeline.Pipeline(transforms)\n pl.run()\n\n\nSetup\n-----\n\nRequirements\n~~~~~~~~~~~~\n\nHiDi is tested against CPython 2.7, 3.4, 3.5, and 3.6. It may work with\ndifferent version of CPython.\n\nInstallation\n~~~~~~~~~~~~\n\nTo install HiDi, simply run\n\n.. code-block:: bash\n\n $ pip install hidi\n\n\nRun the Tests\n-------------\n\n.. code-block:: bash\n\n $ pip install tox\n $ tox", "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/vevo/hidi", "keywords": null, "license": "ALv2", "maintainer": null, "maintainer_email": null, "name": "HiDi", "package_url": "https://pypi.org/project/HiDi/", "platform": "UNKNOWN", "project_url": "https://pypi.org/project/HiDi/", "project_urls": { "Download": "UNKNOWN", "Homepage": "https://github.com/vevo/hidi" }, "release_url": "https://pypi.org/project/HiDi/0.0.3/", "requires_dist": null, "requires_python": null, "summary": "High-dimensional embedding generation library", "version": "0.0.3" }, "last_serial": 2835025, "releases": { "0.0.1": [ { "comment_text": "", "digests": { "md5": "475439a318f55bf979cbda383d0b0f33", "sha256": "5092f0511b23086c81f642d2bc7cf324ea8da2d6d0f0d0b67aa8614224d79469" }, "downloads": -1, "filename": "HiDi-0.0.1.tar.gz", "has_sig": false, "md5_digest": "475439a318f55bf979cbda383d0b0f33", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 6852, "upload_time": "2017-04-19T15:20:27", "url": "https://files.pythonhosted.org/packages/cf/4e/532c33aebd2cba97631956e8fb4fc99a9f97203a99849ab7f46fd50bf9fd/HiDi-0.0.1.tar.gz" } ], "0.0.2": [ { "comment_text": "", "digests": { "md5": "f5e24b4a4ad412583e9b9f662d8ec4bd", "sha256": "5cf791aa2a4507b80201bc43c6f65d0cfe4689a92e1939932b105751a914b4a6" }, "downloads": -1, "filename": "HiDi-0.0.2.tar.gz", "has_sig": false, "md5_digest": "f5e24b4a4ad412583e9b9f662d8ec4bd", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 7039, "upload_time": "2017-04-19T15:31:37", "url": "https://files.pythonhosted.org/packages/80/a6/8aeef4eb53093f598335f6d6cb31045f6cafa4c9aaa62269d6fcf345919a/HiDi-0.0.2.tar.gz" } ], "0.0.3": [ { "comment_text": "", "digests": { "md5": "9fca72240802b408fd5c1bf996f279f1", "sha256": "2a1edfecc8ffd0afc8eea010e79f4ca1ebb201f7107583edf874cf2fb443c86f" }, "downloads": -1, "filename": "HiDi-0.0.3.tar.gz", "has_sig": false, "md5_digest": "9fca72240802b408fd5c1bf996f279f1", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 8313, "upload_time": "2017-04-27T17:40:02", "url": "https://files.pythonhosted.org/packages/1c/77/68c28a07ce8e0344a2cef0c7c32ebecd58e4eae82592c60244489b6a15a0/HiDi-0.0.3.tar.gz" } ] }, "urls": [ { "comment_text": "", "digests": { "md5": "9fca72240802b408fd5c1bf996f279f1", "sha256": "2a1edfecc8ffd0afc8eea010e79f4ca1ebb201f7107583edf874cf2fb443c86f" }, "downloads": -1, "filename": "HiDi-0.0.3.tar.gz", "has_sig": false, "md5_digest": "9fca72240802b408fd5c1bf996f279f1", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 8313, "upload_time": "2017-04-27T17:40:02", "url": "https://files.pythonhosted.org/packages/1c/77/68c28a07ce8e0344a2cef0c7c32ebecd58e4eae82592c60244489b6a15a0/HiDi-0.0.3.tar.gz" } ] }