check outcome class conditional on whether y is atomic

[simonpcouch]

😮

With CRAN parsnip:

library(tidymodels)

set.seed(1)
dat <- tibble(x = rnorm(1e7), y = x + rnorm(1e7, sd = .2))

system.time({
  linear_reg() %>%
    fit(y ~ x, dat)
})
#>    user  system elapsed 
#>   4.108   0.158   4.267

^{Created on 2022-10-28 with reprex v2.0.2}

With this PR:

library(tidymodels)

set.seed(1)
dat <- tibble(x = rnorm(1e7), y = x + rnorm(1e7, sd = .2))

system.time({
  linear_reg() %>%
    fit(y ~ x, dat)
})
#>    user  system elapsed 
#>   1.251   0.187   1.442

^{Created on 2022-10-28 with reprex v2.0.2}

Closes #834.

check_outcome is a bit conditional-heavy, though I have trouble imagining how these could be converted to switch- or tibbled-based logic elegantly.

[hfrick]

Such a speed-up, nice! 🏎️

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