Number of stacks confusion

[cchallu]

Number of stacks confusion

[kdgutier]

Hi @MBelniak,

The selection of the depth of the network needs to accommodate the availability of the data.
In our empirical findings, smaller networks tend to have a better performance on smaller datasets.

In case that you are interested in seeing the effect of the the depth in the network, in the hyperparameter search can be easily controlled by switching these lines:
https://github.com/cchallu/nbeatsx/blob/main/src/hyperopt_nbeatsx.py#L60-L61

Greetings

[MBelniak]

BTW I've just realized that for NBeats-G it's the same whether we use 30 stacks with 1 block each or 1 stack with 30 blocks. The architecture stays the same :) So the only valid question is about your architecture and the configuration of stacks.

[kdgutier]

A good library to observe your model configuration is this:
https://github.com/sksq96/pytorch-summary

[MBelniak]

Hi @kdgutier.

So i guess I just need to play around with the number of stacks, their order etc., like in the grid-search. Thanks.