def _predict_proba(self, X):
if hasattr(self, '_onedal_estimator'):
logging.info("sklearn.svm.NuSVC._predict_proba: " +
get_patch_message("onedal"))
if getattr(self, 'clf_prob', None) is None:
raise NotFittedError(
"predict_proba is not available when fitted with probability=False"
)
return self.clf_prob.predict_proba(X)
else:
logging.info("sklearn.svm.NuSVC._predict_proba: " +
get_patch_message("sklearn"))
return sklearn_NuSVC._predict_proba(self, X)
