Embed size 2 in time series transformer

[Hakase-Noonna]

To @kashif ,
After I wrote this, I read this answer from you (Time series Prediction: inference process)

You said

@kashif

Recall we are learning the parameters of some chosen probability distribution at each time point and thus at inference time we sample from the resulting distribution and pass those say 100 samples back into the transformer to obtain the distribution of the next time step…

what is the learning parameters you refer to? (mean, std, seasonal data, trend etc…)
And what is the probability distribution you refer to? specifically what is the X-axis of that?

This seems might be related with my question I think.
Thx!