Closed shenyinzhe closed 8 months ago
Hi @shenyinzhe, the queue length is reduced in the second stage for efficiency concerns, since a long queue of historical features is extremely memory-consuming.
The choice of queue_length=3 is more of an empirical practice, as there's no significant performance gap between queue_length 3 and 4. Therefore, we opt for queue_length=3 as it's more efficient in training.
Thanks for reply, I'll close the issue.
Hello,
In the stage 1, queue_length = 5 In the stage 2, queue_length = 3 I'm wondering is there any specific reason to set it like above. Especially in the stage 2:
Thanks