doubtlabs-check.py

def show_doubt_if_modeling():
    global _o_predicates
    if 'model' in dc_code and 'X' in dc_code and 'y' in dc_code:
        from doubtlab.ensemble import DoubtEnsemble
        from doubtlab.reason import ProbaReason, WrongPredictionReason

        # Next we can add reasons for doubt. In this case we're saying
        # that examples deserve another look if the associated proba values
        # are low or if the model output doesn't match the associated label.
        reasons = {
            'proba': ProbaReason(model=model),
            'wrong_pred': WrongPredictionReason(model=model)
        }

        # Pass these reasons to a doubtlab instance.
        doubt = DoubtEnsemble(**reasons)

        _o_predicates = doubt.get_predicates(X, y)
        return _o_predicates
show_doubt_if_modeling()