def __init__(self,
eta=0.01,
epochs=50,
l2=0.0,
minibatches=1,
n_classes=None,
random_seed=None,
print_progress=0):
warnings.filterwarnings(module='mlxtend*',
action='ignore',
category=FutureWarning)
epochs = int(epochs)
_SoftmaxRegression.__init__(self, eta, epochs, l2, minibatches,
n_classes, random_seed, print_progress)
BaseWrapperClf.__init__(self)
