{ "info": { "author": "Bayu Aldi Yansyah", "author_email": "bayualdiyansyah@gmail.com", "bugtrack_url": null, "classifiers": [ "License :: OSI Approved :: BSD License", "Programming Language :: Python :: 2.6", "Programming Language :: Python :: 2.7", "Programming Language :: Python :: 3", "Programming Language :: Python :: 3.2", "Programming Language :: Python :: 3.3", "Programming Language :: Python :: 3.4", "Programming Language :: Python :: 3.5" ], "description": "Kumparanian |Build Status| |PyPI version|\n=========================================\n\nKumparanian is a set of workflows that optimize Kumparan\u2019s data\nengineering and data scientist hiring process. It cuts down 1-2 working\nday(s) submission review process to just less than an hour.\n\nIf you are our candidate, you need to install ``kumparanian`` using\nfollowing command:\n\n::\n\n pip install kumparanian \n\nconsult its help command:\n\n::\n\n % kumparanian ds --help\n Usage: kumparanian ds [OPTIONS] COMMAND [ARGS]...\n\n For Data Scientist role.\n\n Before you submit your trained model, you can verify your trained model\n using the following command:\n\n $ kumparanian ds verify YOURMODEL.pickle\n\n Use the following command to evaluate your trained model against your test\n dataset:\n\n $ kumparanian ds evaluate YOURMODEL.pickle test_file.csv\n\n Options:\n --help Show this message and exit.\n\n Commands:\n evaluate Evaluate the model\n verify Verify the model\n\n If you found any issues, feel free report it at:\n https://github.com/kumparan/kumparanian/issues\n\nthen read our assessment and you should be good.\n\nSubsequent sections are not required for candidate as it intended only\nfor project\u2019s documentation purpose.\n\nKumparan\u2019s Model Interface\n--------------------------\n\nThe first component of Kumparanian is a `Kumparan\u2019s Model\nInterface <./interface/model.py>`__. We\u2019ve designed an interface for\nMachine Learning model that allows us to design a problem to have\ndeterministic result.\n\nThe model interface contains 3 required methods: ``train``, ``predict``\nand ``save``. The candidate will solve the assessment test by implement\nthe ``train`` and ``predict`` methods. We provide ``save`` method to\nhelps the candidate to save the trained model.\n\nRead more about the `Kumparan\u2019s Model\nInterface <./interface/README.md>`__.\n\nKumparanian CLI\n---------------\n\nThe second component of Kumparanian is a ``kumparanian(1)``. 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