PositiveTechnologies/seq2seq-web-attack-detection

How does this program transform text to vector which can be put to a lstm?

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I am not familiar with tensorflow, keras seems more friendly to me. I want to implement it using keras.
I have some question about it:

  1. How does this program transform text to vector which can be put to a lstm?
  2. Did you use embedding, how to get it?
  3. How to calculate the rebuilt error?
  4. How do you get the threhold?

As far as I know, http requests are not equal to nature language, so, I am very confused how you transform a one-hot char to a word-embedding vector?

Hi!
We have quite detailed answers in that post AI Village.