def __init__(self, classifiers, meta_classifier, use_probas=False, average_probas=False, verbose=0, use_features_in_secondary=False, store_train_meta_features=False, use_clones=True): _StackingClassifier.__init__(self, classifiers, meta_classifier, use_probas, average_probas, verbose, use_features_in_secondary, store_train_meta_features, use_clones) _clf_metric.__init__(self)
def __init__(self, classifiers, meta_classifier=None, use_probas=False, average_probas=False, verbose=0, use_features_in_secondary=False, store_train_meta_features=False, use_clones=True): warnings.filterwarnings(module='mlxtend*', action='ignore', category=FutureWarning) if meta_classifier is None: meta_classifier = skBernoulli_NBClf() BaseWrapperClf.__init__(self) _StackingClassifier.__init__(self, classifiers, meta_classifier, use_probas, average_probas, verbose, use_features_in_secondary, store_train_meta_features, use_clones)