'Call predict_proba on the estimator with the best found parameters.
Only available if ``refit=True`` and the underlying estimator supports
``predict_proba``.
Parameters
X : indexable, length n_samples
Must fulfill the input assumptions of the
underlying estimator.'

@if_delegate_has_method(delegate=('best_estimator_', 'estimator'))
def predict_proba(self, X):

    return self.best_estimator_.predict_proba(X)
