{ "info": { "author": "Marcin `amok` Konarski", "author_email": "amok@codestation.org", "bugtrack_url": null, "classifiers": [ "Development Status :: 3 - Alpha", "Environment :: Console", "Intended Audience :: Science/Research", "License :: OSI Approved :: Python Software Foundation License", "Programming Language :: Python :: 3", "Topic :: Scientific/Engineering :: Artificial Intelligence" ], "description": "## Machine Learning Army Knife\n\nA tool for machine learning experimentation.\n\n`mlak` supports following machine learning methods/kernels:\n\n- Linear Regression\n- Logistic Regression\n- Neural Network (Keras kernel or simple dense multi-layer perceptron model)\n\nWith `mlak` one can create data samples,\ntrain various model, test and analyze them.\n\n", "description_content_type": null, "docs_url": null, "download_url": "", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "https://github.com/codestation-org/mlak", "keywords": "machine learning keras neural network neuronal logistic regression linear model analyzer", "license": "Python Software Foundation License", "maintainer": "", "maintainer_email": "", "name": "mlak", "package_url": "https://pypi.org/project/mlak/", "platform": "", "project_url": "https://pypi.org/project/mlak/", "project_urls": { "Homepage": "https://github.com/codestation-org/mlak" }, "release_url": "https://pypi.org/project/mlak/0.0.0/", "requires_dist": null, "requires_python": "", "summary": "Machine Learning Army Knife", "version": "0.0.0" }, "last_serial": 3531976, "releases": { "0.0.0": [ { "comment_text": "", "digests": { "md5": "51bf56274f304ddd0d277ddfbf614b01", "sha256": "0a35ea1c09245352a5c3bf6c37809d30da8e1c675b86a44c0d333639d2ac505d" }, "downloads": -1, "filename": "mlak-0.0.0.tar.gz", "has_sig": false, "md5_digest": "51bf56274f304ddd0d277ddfbf614b01", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 18008, "upload_time": "2018-01-29T16:26:54", "url": "https://files.pythonhosted.org/packages/df/8e/a425658a9ab00c64285397391a20b3e64a3572ec20e67d091f76e1a52b97/mlak-0.0.0.tar.gz" } ] }, "urls": [ { "comment_text": "", "digests": { "md5": "51bf56274f304ddd0d277ddfbf614b01", "sha256": "0a35ea1c09245352a5c3bf6c37809d30da8e1c675b86a44c0d333639d2ac505d" }, "downloads": -1, "filename": "mlak-0.0.0.tar.gz", "has_sig": false, "md5_digest": "51bf56274f304ddd0d277ddfbf614b01", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 18008, "upload_time": "2018-01-29T16:26:54", "url": "https://files.pythonhosted.org/packages/df/8e/a425658a9ab00c64285397391a20b3e64a3572ec20e67d091f76e1a52b97/mlak-0.0.0.tar.gz" } ] }