[GitHub] [incubator-bluemarlin] klonikar commented on issue #49: dlpredictor model description

[GitBox <gi...@apache.org>]

klonikar commented on issue #49:
URL: https://github.com/apache/incubator-bluemarlin/issues/49#issuecomment-1046178178


   1. What is _context_  in the red cells in decoder? Is it used as input to next timestep?
   2. Can you explain split of train_window data into train_skip_first, data used for training and final eval? How is the data in the final 10 days of 82 (12+60+10) days used in training? Is it used to update regularization params or weights in backprop?
   3. What are the features used at time step of 82 days? How is ts_n in trainready table used as input? I thought thats the output.
   4. Attention: Explain attention heads = 10, and attention depth = 60
   5. Can you give mathematical description of the model? Something like:
   ```
   hEncoder(t) = GRU(t-1) + x(t) 
   x(t) = [ts_n, age, gender...] 
   ```
   etc.


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