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)