This is a wrapper for fit() that takes a workflowset object and fits each model on one or multiple time series either sequentially or in parallel.

modeltime_fit_workflowset(
  object,
  data,
  ...,
  control = control_fit_workflowset()
)

Arguments

object

A workflow_set object, generated with the workflowsets::workflow_set function.

data

A tibble that contains data to fit the models.

...

Not currently used.

control

An object used to modify the fitting process. See control_fit_workflowset().

Value

A Modeltime Table containing one or more fitted models.

See also

Examples

library(tidymodels) library(modeltime) library(workflowsets) library(tidyverse) library(lubridate) library(timetk) data_set <- m4_monthly # SETUP WORKFLOWSETS rec1 <- recipe(value ~ date + id, data_set) %>% step_mutate(date_num = as.numeric(date)) %>% step_mutate(month_lbl = lubridate::month(date, label = TRUE)) %>% step_dummy(all_nominal(), one_hot = TRUE) mod1 <- linear_reg() %>% set_engine("lm") mod2 <- prophet_reg() %>% set_engine("prophet") wfsets <- workflowsets::workflow_set( preproc = list(rec1 = rec1), models = list( mod1 = mod1, mod2 = mod2 ), cross = TRUE ) # FIT WORKFLOWSETS # - Returns a Modeltime Table with fitted workflowsets wfsets %>% modeltime_fit_workflowset(data_set)
#> Disabling weekly seasonality. Run prophet with weekly.seasonality=TRUE to override this.
#> Disabling daily seasonality. Run prophet with daily.seasonality=TRUE to override this.
#> # Modeltime Table #> # A tibble: 2 × 3 #> .model_id .model .model_desc #> <int> <list> <chr> #> 1 1 <workflow> REC1_MOD1 #> 2 2 <workflow> REC1_MOD2