Hi, it seems that the SKlearnWrapper converts X to numpy before calling fit. My sklearn modules are all expecting dataframes. Is there a way to prevent the conversion for the wrapper? Just doing a simple test like this:
feature_pipeline = Pipeline([
("stationary", dst.SKLearnWrapper(self.stationary)),
])
Thanks
Hi, it seems that the SKlearnWrapper converts X to numpy before calling fit. My sklearn modules are all expecting dataframes. Is there a way to prevent the conversion for the wrapper? Just doing a simple test like this:
Thanks