I'm just working through a tutorial so I don't have much familiarity with tidymodels. I'm running into this error when I try to do a very introductory fit and don't know where to go from here. Any ideas?
library(tidymodels)
#> -- Attaching packages ---------------------------------------------------------------------------------------------------- tidymodels 0.1.0.9000 --
#> v broom 0.5.5 v recipes 0.1.10
#> v dials 0.0.6 v rsample 0.0.6
#> v dplyr 0.8.5 v tibble 3.0.0
#> v ggplot2 3.3.0 v tune 0.1.0
#> v infer 0.5.1 v workflows 0.1.1
#> v parsnip 0.1.0 v yardstick 0.0.6
#> v purrr 0.3.3
#> -- Conflicts ------------------------------------------------------------------------------------------------------------ tidymodels_conflicts() --
#> x purrr::discard() masks scales::discard()
#> x dplyr::filter() masks stats::filter()
#> x dplyr::lag() masks stats::lag()
#> x ggplot2::margin() masks dials::margin()
#> x recipes::step() masks stats::step()
library(AmesHousing)
ames <- make_ames() %>%
select(-matches("Qu"))
set.seed(4595)
data_split <- initial_split(ames, strata = "Sale_Price")
ames_train <- training(data_split)
ames_test <- testing(data_split)
perf_metrics <- metric_set(rmse, rsq, ccc)
knn_mod <-
nearest_neighbor(neighbors = 5) %>%
set_engine("kknn") %>%
set_mode("regression")
knn_wfl <-
workflow() %>%
add_model(knn_mod) %>%
add_formula(log10(Sale_Price) ~ Longitude + Latitude)
fit(knn_wfl, data = ames_train)
#> Error in eval(parse(text = text, keep.source = FALSE), envir): object 'object' not found