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        "author": "Tristan Rice",
        "author_email": "rice@fn.lc",
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            "License :: OSI Approved :: MIT License",
            "Operating System :: OS Independent",
            "Programming Language :: Python :: 2",
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        "description": "# Luk.ai Python Management Library\n\n[![PyPI](https://img.shields.io/pypi/v/lukai.svg)](https://pypi.org/project/lukai/)\n\nThis is a library for uploading machine learning models to\n[Luk.ai](https://luk.ai).\n\n## Upload Models\n\nYou'll need to [create an API token](https://luk.ai/dashboard) first.\n\n```python\nimport lukai\n\n# ... your model definition code\n\nsess = tf.Session()\nsess.run(tf.initialize_all_variables())\n\n# Sets the Luk.ai API token.\nlukai.set_api_token('<your token>')\n\n# Uploads the model to Luk.ai and creates a training job.\nlukai.upload(\n    session=sess,\n    domain='<your domain>',\n    model_type='<your model type>',\n    name='Hello World',\n    description='This is the first model I've uploaded!',\n    hyper_params=lukai.HyperParams(\n        num_clients = 10,\n        batch_size = 10,\n        num_rounds = 100,\n        learning_rate = learning_rate,\n        num_local_rounds = 10,\n    ),\n    metrics={\n      accuracy: lukai.REDUCE_MEAN,\n    },\n    event_targets={\n      lukai.EVENT_TRAIN: (keep_prob.assign(0.5),),\n      lukai.EVENT_INFER: (keep_prob.assign(1.0),),\n      lukai.EVENT_EVAL: (keep_prob.assign(1.0),),\n    },\n)\n```\n\nSee the [full mnist example](https://github.com/luk-ai/docs/tree/master/examples/mnist).\n\n## Export Models\n\nYou can also directly output the `model.tar.gz` file if you'd like.\n\n```python\nfrom lukai import saver\n\n# ... your model definition code\n\nsess = tf.Session()\nsess.run(tf.initialize_all_variables())\n\nprint('Node names: x = {}, y_ = {}, train_step = {}, w = {}, b = {}, y = {}'.format(\n  x.name, y_.name, train_step.name, w.name, b.name, y.name,\n))\n\nsaver.save(sess)\n```\n\nSee the [full leastsquares example](https://github.com/luk-ai/docs/blob/master/examples/leastsquares)\n\n\n",
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