Is their a way to add embedding vector or glove vector to neural or ml models in nixtla?
k
Kin Gtz. Olivares
06/11/2023, 2:24 PM
Hey @Syed Umair Hassan,
Assuming that you encoded text information from the series, that remains static you can feed it to NeuralForecast through stat_exog_list
Consider 3d embeddings that you put in a pandas stat_df with columns ‘e1’, ‘e2’, ‘e3’
You send stat_exog_list=[ ‘e1’, ‘e2’, ‘e3’]
s
Syed Umair Hassan
06/11/2023, 2:37 PM
Thanks alot, sorry for being a newbie and making you reply all the time
Basically, I have just started a phd in wind speed forecasting so was trying different things. I wanted to know that if I want to do research would it be better to stick with nixtla or use pytorch? Or a combination of both wherever applicable. Thanks
k
Kin Gtz. Olivares
06/11/2023, 3:03 PM
NeuralForecast is built on top of Pytorch and Pytorch Lightning
If you want to do your own models research, it is a good starting point