{ "info": { "author": "Nuha Almozaini", "author_email": "nuha.mozaini@gmail.com", "bugtrack_url": null, "classifiers": [ "Development Status :: 3 - Alpha", "Intended Audience :: Developers", "License :: OSI Approved :: MIT License", "Programming Language :: Python :: 3", "Topic :: Software Development :: Build Tools" ], "description": "===============\nDeepVec\n===============\n\nTensorflow wrapper for classification\n\n\n-------------\nRequirements\n-------------\n\n* Python +3.x\n\n--------------\nInstallation\n--------------\n\n.. code-block:: bash\n\n pip install deepvec\n\n-------\nNotes\n-------\n* The library is for classification datasets (labeled).\n* The library accepts CSV of two columns, text (sentences) column and label column (numeric data only).\n* The library transforms text to vector, extracts features from vectors then classifies.\n\n-------\nUsage\n-------\n\n\n.. code-block:: python\n\n from deepvec.deep_vec import DeepVec\n\n obj = DeepVec(path='/path/to/file.csv', feature='text_col', label='label_col')\n data_frame = obj.prepare()\n obj.proceed(data_frame)\n\n-------------\nContributing\n-------------\n\nYou are welcome.\n\n\n--------\nLicense\n--------\n\n\nThe library is available as open source under the terms of the `MIT License. `_", "description_content_type": "", "docs_url": null, "download_url": "https://github.com/nuhamozaini/deepvec/archive/v_02.tar.gz", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "https://github.com/nuhamozaini", "keywords": "classification,deep learning,tensorflow,keras,pandas", "license": "MIT", "maintainer": "", "maintainer_email": "", "name": "deepvec", "package_url": "https://pypi.org/project/deepvec/", "platform": "", "project_url": "https://pypi.org/project/deepvec/", "project_urls": { "Download": "https://github.com/nuhamozaini/deepvec/archive/v_02.tar.gz", "Homepage": "https://github.com/nuhamozaini" }, "release_url": "https://pypi.org/project/deepvec/0.2/", "requires_dist": null, "requires_python": "", "summary": "Tensorflow wrapper for classification", "version": "0.2" }, "last_serial": 5016636, "releases": { "0.1": [ { "comment_text": "", "digests": { "md5": "06e77bad97bcc6062507aecabe669de5", "sha256": "ba2fb587506c4f110efb234aba7578e66b8c50623504cb45597ae2a851e6e2f1" }, "downloads": -1, "filename": "deepvec-0.1.tar.gz", "has_sig": false, "md5_digest": "06e77bad97bcc6062507aecabe669de5", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 1812, "upload_time": "2019-04-01T11:10:31", "url": "https://files.pythonhosted.org/packages/2d/65/fe1ef9079a17948dd7b0e5261dd7d9d62cddd1b254f86a9b2e37d90c3229/deepvec-0.1.tar.gz" } ], "0.2": [ { "comment_text": "", "digests": { "md5": "772232fd480c31fcc50abf8a55643803", "sha256": "6e9af90ed4e3ebef413791ddd20565911f760a7c7161e75ef099465f4c1390f5" }, "downloads": -1, "filename": "deepvec-0.2.tar.gz", "has_sig": false, "md5_digest": "772232fd480c31fcc50abf8a55643803", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 2303, "upload_time": "2019-04-01T11:39:14", "url": "https://files.pythonhosted.org/packages/cb/d3/91277a0aeaa1f061796d0accf2e21c159a5911e2830812b7d7c0dfcca9fc/deepvec-0.2.tar.gz" } ] }, "urls": [ { "comment_text": "", "digests": { "md5": "772232fd480c31fcc50abf8a55643803", "sha256": "6e9af90ed4e3ebef413791ddd20565911f760a7c7161e75ef099465f4c1390f5" }, "downloads": -1, "filename": "deepvec-0.2.tar.gz", "has_sig": false, "md5_digest": "772232fd480c31fcc50abf8a55643803", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 2303, "upload_time": "2019-04-01T11:39:14", "url": "https://files.pythonhosted.org/packages/cb/d3/91277a0aeaa1f061796d0accf2e21c159a5911e2830812b7d7c0dfcca9fc/deepvec-0.2.tar.gz" } ] }