How to set seasonality about esrnn_torch HOT 2 CLOSED

DAILY
A very common seasonality for daily data is 7 because there are common patterns that repeat every week.
Particularly if your data comes from human economic activities.
Of course there are 'natural' seasonalities for daily data like 365, the length of the year, but usually you want to train your model with shorter input_sizes.

HOURLY
The list allows you to add multiple seasonalities at once for example with hourly data you may want both the daily seasonality and the weekly seasonality so you can set seasonality = [24, 24*7].

WEEKLY
Weekly is set to 52 because there are 52 weeks in the year.

Regarding your data if you have data recorded every six months, your seasonality can be 2. At the end of the day the model you select should follow empirical performance.

from esrnn_torch.

Ok got it

thanks a lot

from esrnn_torch.