Alan Motta Ganem

Results 4 comments of Alan Motta Ganem

Hey, @xuzhang5788 , have you considered creating a wrapper class like this one? ``` class PrefitEstimator(sklearn.base.BaseEstimator): def __init__(self, prefit_estimator): self.prefit_estimator = prefit_estimator def __getattr__(self, attr): ''' gets the attributes from...

Hello guys. Any update on this issue?

It indeed resembles part of the GroupedTransformer funcitonality, although i'm not sure how that'd work with "callable transformers" instead of objects containning fit and transform methods (maybe a simple wrapper...

Ive installed the fork youve mentioned but am still getting `InvalidModelError: Model type not yet supported by TreeExplainer: ` Anything i can do about it?