Hi folks,
Can someone point to sample code to calibrate a pre-trained transformers model (e.g., RoBERTa) using scipy CalibratedClassifierCV class?
I’ve fumbled for a day following this outline:
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Wrap a transformers model in a class inheriting BaseEstimator and ClassifierMixin.
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Implement both predict() and predict_proba()
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Construct a calibrated classifier via CalibratedClassifierCV(clf, cv=‘prefit’) where clf is my wrapped transformers model.
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call fit() on calibration dataset → fail with error message sklearn.utils._param_validation.InvalidParameterError: The ‘estimator’ parameter of CalibratedClassifierCV must be an object implementing ‘fit’ and ‘predict_proba’, an object implementing ‘fit’ and ‘decision_function’ or None. …
Help!