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I just noticed that inside your function promor::impute_na() the RF, kNN, and SVD function are actually expecting the features in columns and sample in rows. That means the matrix df should be transposed before calling them. I am not sure if that would cause any different results.
The text was updated successfully, but these errors were encountered:
I just noticed that inside your function promor::impute_na() the RF, kNN, and SVD function are actually expecting the features in columns and sample in rows. That means the matrix df should be transposed before calling them. I am not sure if that would cause any different results.
The text was updated successfully, but these errors were encountered: