Comments (1)
hidasib
commented on July 23, 2024
1
The problem with a predict_next function for the GRU is that evaluation becomes really slow. By utilizing the parallel computations, the batch function makes it manageable. I switched to this solution shortly after our first paper.
If you set the batch_size to 1 it will basically give you back the same results as the basic predict_next would (but keep in mind that the inputs for the functions are still 1D numpy arrays (of 1 sessionid and one itemid respectively), otherwise it won't work properly).
If the evaluation is still confusing, let me know what part you are talking about, and I'll try to explain it.
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Related Issues (20)
- hello,i have some questions about the code HOT 2
- About training time HOT 1
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