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library(tidymodels)
#> ── Attaching packages ───────────────────────────────── tidymodels 0.1.1.9000 ──
#> ✔ broom 0.7.0 ✔ recipes 0.1.13
#> ✔ dials 0.0.8 ✔ rsample 0.0.7.9000
#> ✔ dplyr 1.0.2 ✔ tibble 3.0.3.9000
#> ✔ ggplot2 3.3.2 ✔ tidyr 1.1.1
#> ✔ infer 0.5.3 ✔ tune 0.1.1.9000
#> ✔ modeldata 0.0.2 ✔ workflows 0.1.3.9000
#> ✔ parsnip 0.1.3.9000 ✔ yardstick 0.0.7
#> ✔ purrr 0.3.4
#> ── Conflicts ───────────────────────────────────────── tidymodels_conflicts() ──
#> ✖ purrr::discard() masks scales::discard()
#> ✖ dplyr::filter() masks stats::filter()
#> ✖ dplyr::lag() masks stats::lag()
#> ✖ recipes::step() masks stats::step()
library(tidyflow)
#>
#> Attaching package: 'tidyflow'
#> The following object is masked from 'package:tune':
#>
#> parameters
#> The following object is masked from 'package:dials':
#>
#> parameters
mod <- logistic_reg(penalty = tune(), mixture = tune()) %>% set_engine("glm")
tflow <-
mtcars %>%
mutate(am = as.factor(am)) %>%
tidyflow(seed = 5131) %>%
plug_formula(am ~ .) %>%
plug_resample(vfold_cv) %>%
plug_grid(grid_regular) %>%
plug_model(mod)
fit(tflow)
#> Error: At least one parameter object is required.This is because I got confused using glm instead of glmnet. Shouldn't this error be delegated to tune or something?
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