Hello All,
When using any of the preprocessing options in sklearn, is it possible to
select a subset of features (columns) in a dataset for preprocessing? Many
datasets contain a mix of feature types (categorical, numerical, binary) and it
doesn't seem like it would make sense to scale certain types of features (like
binary and categorical), though I suppose if the information contained in them
is not altered by the scaling, it may not hurt to have it scale the entire
dataset regardless of feature type. Any thoughts on the subject welcome.
Thanks!
-Jason
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