A clear and concise description of what the problem is.
I needed to binarize some features in a pipeline but saw that this wasn't currently implemented in the package; I instead used the sklearn Binarizer and ColumnTransformer classes. This wasn't ideal as I had to keep track of the new indexes at subsequent steps of the pipeline - one of the nice things about feature engine is that you don't have to worry about that.
Describe the solution you'd like
An implementation of a Binarizer class that bypasses the need for the corresponding sklearn class and that you can use directly within the Pipeline class instead of using ColumnTransformer.
Describe alternatives you've considered
I wrote a class that inherits from the BaseDiscretizer which works as described above.
Would it be OK for me to work on this and open a PR?
A clear and concise description of what the problem is.
I needed to binarize some features in a pipeline but saw that this wasn't currently implemented in the package; I instead used the sklearn Binarizer and ColumnTransformer classes. This wasn't ideal as I had to keep track of the new indexes at subsequent steps of the pipeline - one of the nice things about feature engine is that you don't have to worry about that.
Describe the solution you'd like
An implementation of a Binarizer class that bypasses the need for the corresponding sklearn class and that you can use directly within the Pipeline class instead of using ColumnTransformer.
Describe alternatives you've considered
I wrote a class that inherits from the BaseDiscretizer which works as described above.
Would it be OK for me to work on this and open a PR?