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"description": "Welcome to Schedy's documentation!\n==================================\n\n**Schedy** is your machine learning assistant. It will help you record your\nexperiments, your results, visualize them, and it will even suggest new\nparameters for your next experiments!\n\nSchedy can do useful things for you:\n\n- Record the hyperparameters and results of all your past models.\n- Suggest new hyperparameters for your next models.\n- Coordinate a pool of workers (e.g. in a cluster), by making sure they\n stay busy trying to find the best combination of hyperparameters for\n your task.\n\nAnd all of that in just a few lines of code! Coordinating a cluster of workers\nbecomes as simple as this:\n\n.. code-block:: python\n\n import schedy\n\n db = schedy.SchedyDB()\n exp = db.get_experiment('My Task')\n while True:\n with exp.next_job() as job:\n my_train_function(job)\n\nYou can follow the evolution of your experiments thanks to our `online dashboard\n`_.\n\n.. image:: https://raw.githubusercontent.com/incalia/schedy-client/master/docs/images/dashboard.png\n :align: center\n\nWe also provide a command line tool, that will help you with the most\nrepetitive tasks.\n\n.. _setup:\n\nInstallation and setup\n----------------------\n\n`Sign up here `_, install Schedy & get your API token:\n\n.. code-block:: bash\n\n pip3 install schedy\n schedy gen-token\n\nYou are now ready to `get started `_!\n\nYou can also read the `API reference `_.\n\n\n",
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