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)
