def feedforward_network(individual): return get_prob_class(cls.net, numpy.reshape(individual, (individual.shape[0], 1)), 0),
def activate_network(individual): return get_prob_class( cls.net, np.reshape(individual, (individual.shape[0], 1)), 0 ),
def activate_network(individual): return get_prob_class(cls.net, np.reshape(individual, (individual.shape[0], 1)), 0),
def feedforward_network(individual): return get_prob_class( cls.net, numpy.reshape(individual, (individual.shape[0], 1)), 0 ),