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        "author": "Jay Johnson",
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            "Programming Language :: Python :: 3.5",
            "Programming Language :: Python :: 3.6",
            "Programming Language :: Python :: Implementation :: PyPy",
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It is advised to change this to your own user in the future.\n\nTrain a Deep Neural Network with a JSON List of Records\n-------------------------------------------------------\n\n::\n\n    ai -u root -p 123321 -f examples/predict-rows-scaler-django-simple.json\n\nTrain a Deep Neural Network to Predict Attacks with the AntiNex Datasets\n------------------------------------------------------------------------\n\nPlease make sure the datasets are available to the REST API, Celery worker, and AntiNex Core worker. The datasets are already included in the docker container ``ai-core`` provided in the default ``compose.yml`` file:\n\nhttps://github.com/jay-johnson/train-ai-with-django-swagger-jwt/blob/51f731860daf134ea2bd3b68468927c614c83ee5/compose.yml#L53-L104\n\nIf you're running outside docker make sure to clone the repo with:\n\n::\n\n    git clone https://github.com/jay-johnson/antinex-datasets.git /opt/antinex/antinex-datasets    \n\nTrain the Django Defensive Deep Neural Network\n----------------------------------------------\n\nPlease wait as this will take a few minutes to return and convert the predictions to a pandas DataFrame.\n\n::\n\n    ai -u root -p 123321 -f examples/scaler-full-django-antinex-simple.json \n\n    ...\n\n    [30200 rows x 72 columns]\n\nUsing Pre-trained Neural Networks to make Predictions\n-----------------------------------------------------\n\nThe `AntiNex Core`_ manages pre-trained deep neural networks in memory. 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