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
),
