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        "author": "Piotr Plonski",
        "author_email": "contact@mljar.com",
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        "description": "|Build Status| |PyPI version| |Coverage Status| |PyPI pyversions|\n\nmljar-api-python\n================\n\nA simple python wrapper over mljar API. It allows MLJAR users to create\nMachine Learning models with few lines of code:\n\n.. code:: python\n\n    from mljar import Mljar\n\n    model = Mljar(project='My awesome project', experiment='First experiment')\n    model.fit(X,y)\n\n    model.predict(X)\n\nThat's all folks! Yeah, I know, this makes Machine Learning super easy!\nYou can use this code for following Machine Learning tasks: \\* Binary\nclassification (your target has only two unique values) \\* Regression\n(your target value is continuous) \\* More is coming soon!\n\nHow to install\n--------------\n\nYou can install mljar with **pip**:\n\n::\n\n    pip install -U mljar\n\nor from source code:\n\n::\n\n    python setup.py install\n\nHow to use it\n-------------\n\n1. Create an account at mljar.com and login.\n2. Please go to your users settings (top, right corner).\n3. Get your token, for example 'exampleexampleexample'.\n4. Set environment variable ``MLJAR_TOKEN`` with your token value:\n\n   ::\n\n       export MLJAR_TOKEN=exampleexampleexample\n\n5. That's all, you are ready to use MLJAR in your python code!\n\nWhat's going on?\n----------------\n\n-  This wrapper allows you to search through different Machine Learning\n   algorithms and tune each of the algorithm.\n-  By searching and tuning ML algorithm to your data you will get very\n   accurate model.\n-  By calling method ``fit`` from ``Mljar class`` you create new project\n   and start experiment with models training. All your results will be\n   accessible from your mljar.com account - this makes Machine Learning\n   super easy and keeps all your models and results in beautiful order.\n   So, you will never miss anything.\n-  All computations are done in MLJAR Cloud, they are executed in\n   parallel. So after calling ``fit`` method you can switch your\n   computer off and MLJAR will do the job for you!\n-  I think this is really amazing! What do you think? Please let us know\n   at ``contact@mljar.com``.\n\nExamples\n--------\n\nThe examples are `here! <https://github.com/mljar/mljar-examples>`__.\n\nTesting\n-------\n\nTo run tests with command:\n\n::\n\n    python -m tests.run\n\n.. |Build Status| image:: https://travis-ci.org/mljar/mljar-api-python.svg?branch=master\n   :target: https://travis-ci.org/mljar/mljar-api-python\n.. |PyPI version| image:: https://badge.fury.io/py/mljar.svg\n   :target: https://badge.fury.io/py/mljar\n.. |Coverage Status| image:: https://coveralls.io/repos/github/mljar/mljar-api-python/badge.svg?branch=master\n   :target: https://coveralls.io/github/mljar/mljar-api-python?branch=master\n",
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