This functions helps decide what the updated column names of a data.frame should be within the easyml framework based on the dependent variable, preprocessing function, exclusionary variables, and categorical variables.
set_column_names(column_names, dependent_variable, preprocess = NULL, exclude_variables = NULL, categorical_variables = NULL)
| column_names | A character vector; the column names of the data for this analysis. |
|---|---|
| dependent_variable | A character vector of length one; the dependent variable for this analysis. |
| preprocess | A function; the function for preprocessing the data. Defaults to NULL. |
| exclude_variables | A character vector; the variables from the data set to exclude. Defaults to NULL. |
| categorical_variables | A character vector; the variables that are categorical. Defaults to NULL. |
The updated columns, in the correct order for preprocessing.
Other setters: set_categorical_variables,
set_cores,
set_dependent_variable,
set_independent_variables,
set_looper_, set_looper,
set_measure, set_parallel,
set_plot_model_performance,
set_plot_predictions,
set_preprocess,
set_random_state,
set_resample