Dear sir ,
Just need to know if I can use a function transformer to generate new
columns in the data set .
Just see the below written pipeline
num_pipeline = Pipeline([('imputer', SimpleImputer(strategy="median")),
('attribs_adder', column_adder),
('std_scaler', StandardScaler()),
])
This pipeline is for numerical attributes in the dataset, firstly it will
treat all mising values in the data set using SimpleImputer , then i have
made a function to add three more columns in the existing data, i have made
a function transformer with this function and then StandardScaler .
The columns being added are generated from existing columns (by element
wise division of two columns) . So Using a function transformer is ok ?
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