def __init__(self,
classifiers,
meta_classifier,
use_probas=False,
cv=2,
use_features_in_secondary=False,
stratify=True,
shuffle=True,
verbose=0,
store_train_meta_features=False,
use_clones=True):
_StackingCVClassifier.__init__(self, classifiers, meta_classifier,
use_probas, cv,
use_features_in_secondary, stratify,
shuffle, verbose,
store_train_meta_features, use_clones)
_clf_metric.__init__(self)
def __init__(self,
classifiers,
meta_classifier=None,
use_probas=False,
cv=2,
use_features_in_secondary=False,
stratify=True,
shuffle=True,
verbose=0,
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)
_StackingCVClassifier.__init__(self, classifiers, meta_classifier,
use_probas, cv,
use_features_in_secondary, stratify,
shuffle, verbose,
store_train_meta_features, use_clones)
