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Not all steps report which step they are produced inside. It can lead to slowness when debugging. This is a more general issue that contains #394.
library(recipes)
recipe(~., data=iris) %>%
step_dummy(Sepal.Length) %>%
step_center(all_predictors()) %>%
step_scale(all_predictors()) %>%
prep()
#> Warning: The following variables are not factor vectors and will be ignored:#> `Sepal.Length`#> Error: The `terms` argument in `step_dummy` did not select any factor columns.
recipe(~., data=iris) %>%
step_discretize(Species) %>%
step_center(all_predictors()) %>%
step_scale(all_predictors()) %>%
prep()
#> Error: All columns selected for the step should be numeric
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Not all steps report which step they are produced inside. It can lead to slowness when debugging. This is a more general issue that contains #394.
Created on 2019-12-01 by the reprex package (v0.3.0)
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