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Train base model in teacher-forcing mode #13

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pratham16cse opened this issue Sep 27, 2020 · 1 comment

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pratham16cse commented Sep 27, 2020 •

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The model makes sequential predictions during training also.
This might be the reason for poor performance of DILATE and MSE on Taxi dataset as forecast horizon at the bottom level is sufficiently large.
Add teacher-forcing mode of training in order to better learn the parameters of the base model at bottom level.

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pratham16cse commented Sep 28, 2020

Added teacher-forcing with parameter teacher_forcing_ratio that controls the amount of teacher forcing in an epoch.

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