Dear Sir,
I have made such a transformer, below given is an example that generates 3
new columns, from existing 2 columns of a numpy array , first column is for
element wise addition, second is for element wise multiplication and third
is for element wise division .
>>> import numpy as np
>>> fr
The FunctionTransformer will apply the transformation coded your function to
the entire dataset passed to the transform() method.
I find it hard to see how this could work to add additional columns to the
dataset, but I guess it might depend on how you designed your function.
Did you try passin
