Hi. In this snippet from configs/build.py, would you please explain why are different hyperparameter values used in train and test? (for eg. score thr for hum is 0.1 in train and 0.5 in test). What advantage is achieved by doing so?
Using a lower threshold during training will provide more training samples. And neg_pos_ub means the number of negative samples assigned for one positive sample.
Hi. In this snippet from
configs/build.py
, would you please explain why are different hyperparameter values used in train and test? (for eg. score thr for hum is 0.1 in train and 0.5 in test). What advantage is achieved by doing so?Also, what does
neg_pos_ub
mean in train?