How Computationally expensive is Auto Arima Model
I am currently learning about Auto Arima models, but once I ran my model based on the template you provided, it takes forever to compile, I just copied the relevant code to Google Collab and although it took a while, it was much faster, I use a HP Spectre,(No GPU, Intel Ice Lake i7) and on Google Collab I used a GPU accelerator, is using Google Collab more advisable now?
And generally speaking what are the recommended specs to get results from Auto Arima in decent amount of time
1 answers ( 0 marked as helpful)
Hey Aditya,
Thanks for reaching out!
Yeah, auto_arima is very computationally expensive because it runs many different models 1 by 1 based on the arguments given. Hence, the more we know about the data, the more we can limit the arguments we pass to the method. By doing so, we can reduce the number of models auto_arima fits and decrease running times.
And generally speaking what are the recommended specs to get results from Auto Arima in decent amount of time.
Honestly, your specs seem fine for the task, but it all depends on what you mean by decent. The Auto ARIMA can sometimes even take 20 minutes for models with numerous exogenous variables, so maybe switching to Google Colabs is the right move.
Best,
365 Vik