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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. Can you give me some advice? Thanks
Best regards
The text was updated successfully, but these errors were encountered:
Hi all, i just came across this issue. I reviewed the JOSS submission for {latentcor}, which is on CRAN and might provide a versatile solution for logical, numeric, and categorical variables.
Hi,
step_corr()
can remove highly correlated continuous variables using Pearson or Spearman correlation analysis. However, prefilter functions for categorical variables were not provided in therecipes
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. Can you give me some advice? ThanksBest regards
The text was updated successfully, but these errors were encountered: