class Model(Observable, Observer):
def __init__(self, structure):
Observable.__init__(self)
self.neural_net = NeuralNet(structure, random_init_bound=0.05)
self.commands = []
def load(self, path):
self.neural_net.load(path)
def predict(self, x):
return self.neural_net.evaluate(x)
def update(self, command):
self.notify_observers()
def add_command(self, command):
self.commands.append(command)
command.add_observer(self)
self.notify_observers()
def undo(self):
if self.commands:
self.commands.pop()
self.notify_observers()
def clear(self):
self.commands.clear()
self.notify_observers()
