check_is_fitted requires attributes in 0.21.3
@@ -510,7 +510,7 @@ def predict(self, X):
-------
y_pred : array, shape (n_samples,)
"""
- check_is_fitted(self)
+ check_is_fitted(self, 'support_')
_break_ties = getattr(self, 'break_ties', False)
if _break_ties and self.decision_function_shape == 'ovo':
raise ValueError("break_ties must be False when "
