tidyverts/fasster

How can I get multicore performance using fable and fasster?

brunocarlin opened this issue · 2 comments

I have a tsibble from this competion https://www.kaggle.com/c/demand-forecasting-kernels-only/overview, fasster is truly fast and cool, but I think I can get 4x performance if I can fit the model on 4 cores.

I have a tsibble from this competion https://www.kaggle.com/c/demand-forecasting-kernels-only/overview, fasster is truly fast and cool, but I think I can get 4x performance if I can fit the model on 4 cores.

use nested frames + furrr

Parallel computing using future is supported in the model() function.

library(fasster)
library(future)

plan(multiprocess)
tsibble::tourism %>% model(fasster::fasster(Trips ~ poly(1) + season(4)))