pytorch_lstm_rate_beer.ipynb

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    "# LSTM and Rate Beer\n",
    "To compare against the customer clustering the knowledge graph gave a LSTM neural network will show the metrics of a more classical result.\n",
    "\n",
    "TODO:\n",
    "  * Load in the data\n",
    "  * Learn how to turn the data into the tabular form that Pytorch would take into it's neural networks.\n",
    "  * Code the neural network and it's loader.\n",
    "  * Code the embeddings that can be output.\n",
    "  * Code the customers to be grouped.\n",
    "  * Code the groups to be scored against each other."
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    "import torch"
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