Categorical support preprocess_one_hot_encoding
#3487
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conradsnicta
approved these changes
Jun 6, 2023
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This was referenced Jun 14, 2023
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This allows users to pass categorical matrices to the
preprocess_one_hot_encodingbinding. This is actually a transparent change, so all user code can remain the same. But whereas in Python a user would previously callpreprocess_one_hot_encoding(input=dataset), now that parameterdatasetcan also be a pandasDataFramewhose columns can have any type, instead of just a numpyndarrayor similar.By default, if the
dimensionsparameter is not specified (it is no longer required), all categorical dimensions are one-hot encoded.This addresses #3480.
There will need to be a new release of mlpack before this becomes available in PyPI or conda (or other languages' package managers).