Transforms columns in dataframe by the specified methods. Separate methods can be applied for categorical column transformation and numerical column transformation.
column_transformer( x_train, x_test, column_list, num_trans = "standard_scaling", cat_trans = "onehot_encoding" )
| x_train | training set dataframe/tibble |
|---|---|
| x_test | test set dataframe/tibble |
| column_list | named list of categorical and numeric columns. |
| num_trans | method(character) for numerical transformation - Can take values "standard_scaling" or "minmax_scaling" (default = "standard_scaling") |
| cat_trans | method(character) for categorical transformation - Cant take values "onehot_encoding" or "label_encoding" (default = "onehot_encoding") |
A list with named items x_train and x_list that have been transformed according to the arguments specified
x_train <- data.frame('x' = c(2.5, 3.3, 5,8), 'y' = factor(c(1, 6, 1,6))) x_test <- data.frame('x' = c(2,1), 'y' = factor(c(1,6))) column_transformer(x_train, x_test, list("numeric" = c('x'), "categorical" = c('y')))#> $x_train #> x y.6 #> 1 -0.9036857 0 #> 2 -0.5750727 1 #> 3 0.1232299 0 #> 4 1.3555286 1 #> #> $x_test #> x y.6 #> 1 -1.109069 0 #> 2 -1.519835 1 #>