I have a pipeline in scikit-learn that uses a custom transformer I define like below:
which defines functions
__init__, fit() and transform()
However, when I use the pipeline inside RandomizedSearchCV, I get the following error:
'MyPipelineTransformer' object has no attribute 'get_params'
I've read online (e.g. links below)
(Python - sklearn) How to pass parameters to the customize ModelTransformer class by gridsearchcv
that I could get 'get_params' by inheriting from BaseEstimator, instead of my current code inheriting just from TransformerMixin. But my transformer is not an estimator. Is there any downside to having a non-estimator inherit from BaseEstimator? Or is that the recommended way to get get_params for any transformer (estimator or not) in a pipeline?