In case we want to conformalize a pretrained model using the API, the current ConformalPredictor class requires a splitter even when X_fit and y_fit are not necessary.
In such situation, the correct behavior would be to pass a None splitter argument for the ConformalPredictor's constructor and use calibration data in the call for fit. The ConformalPredictor should allow a None splitter only when train argument is False.
In case we want to conformalize a pretrained model using the API, the current
ConformalPredictorclass requires a splitter even whenX_fitandy_fitare not necessary.In such situation, the correct behavior would be to pass a None splitter argument for the
ConformalPredictor's constructor and use calibration data in the call forfit. TheConformalPredictorshould allow a None splitter only whentrainargument is False.