How to remove categorical variables that highly correlated with other categorical variables?

[Liang_Z]

step_corr() can remove highly correlated continuous variables using Pearson or Spearman correlation analysis. However, prefilter functions for categorical variables were not provided in the recipes package. I have 20 columns with categorical variables (using one-hot encoding), and I want to remove redundant columns which were correlated with each other. Anyone can give me some advice? Thanks

[Max]

If you want top remove the entire predictor you would have to write a custom recipe step to do that.

Alternatively, after you create indicator variables with step_dummy(), step_corr() could be applied to remove levels of the factor(s) that have redundant information in them