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Currently, one importance score is output for feature-factor level combinations because of one-hot encoding. Could there be an option to calculate one score per feature, to make it compatible with CRAN's randomForest importannce()?
The text was updated successfully, but these errors were encountered:
Not at the moment, unfortunately. We are working on categorical data (Python only right now) support so in the future one hot encoding in R will not be necessary.
Currently, one importance score is output for feature-factor level combinations because of one-hot encoding. Could there be an option to calculate one score per feature, to make it compatible with CRAN's randomForest
importannce()
?The text was updated successfully, but these errors were encountered: