本文整理汇总了Python中pybrain.structure.FeedForwardNetwork.mutate方法的典型用法代码示例。如果您正苦于以下问题：Python FeedForwardNetwork.mutate方法的具体用法？Python FeedForwardNetwork.mutate怎么用？Python FeedForwardNetwork.mutate使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类pybrain.structure.FeedForwardNetwork的用法示例。
在下文中一共展示了FeedForwardNetwork.mutate方法的1个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: __init__
# 需要导入模块: from pybrain.structure import FeedForwardNetwork [as 别名]
# 或者: from pybrain.structure.FeedForwardNetwork import mutate [as 别名]
class BlondieBrain:
def __init__(self, datadir, insize=None, outsize=None, paramfile=None):
self.datadir = datadir
if insize == None:
g = runner.Game()
ip = self._game2input(g)
self.insize = len(ip)
else:
self.insize = insize
if outsize == None:
self.outsize = 1
else:
self.outsize = outsize
if paramfile:
f = os.path.join(self.datadir, paramfile)
self.nn = NetworkReader.readFrom(f)
try:
self.name = re.search("(.*)-bestof-(.*)", paramfile).group(1)
except AttributeError:
self.name = "blondie-%s" % (datetime.datetime.now())
else:
self.nn = FeedForwardNetwork()
tmpname = "blondie-%s" % (datetime.datetime.now())
self.name = re.sub("[.: ]", "-", tmpname)
inLayer = LinearLayer(self.insize)
hiddenLayer1 = SigmoidLayer(self.insize)
hiddenLayer2 = SigmoidLayer(self.insize)
outLayer = LinearLayer(self.outsize)
self.nn.addInputModule(inLayer)
self.nn.addModule(hiddenLayer1)
self.nn.addModule(hiddenLayer2)
self.nn.addOutputModule(outLayer)
in_to_hidden1 = FullConnection(inLayer, hiddenLayer1)
hidden1_to_hidden2 = FullConnection(hiddenLayer1, hiddenLayer2)
hidden2_to_out = FullConnection(hiddenLayer2, outLayer)
self.nn.addConnection(in_to_hidden1)
self.nn.addConnection(hidden1_to_hidden2)
self.nn.addConnection(hidden2_to_out)
self.nn.sortModules()
def nextmove(self, game):
inputdata = self._game2input(game)
if self.outsize == 1:
op = int(self.nn.activate(inputdata))
else:
r = self.nn.activate(inputdata)
op = r.argmax()
return op
def save(self, suffix=""):
f = os.path.join(self.datadir, self.name + suffix + ".xml")
NetworkWriter.writeToFile(self.nn, f)
def mutate(self):
self.nn.mutate()
def randomize(self):
self.nn.randomize()
def copy(self):
x = copy.deepcopy(self)
x.nn = x.nn.copy()
return x
@classmethod
def _game2input(cls, game):
mysymbol = len(game.moves) % 2
cells = [cls._trsymb(x, mysymbol) for x in itertools.chain.from_iterable(game.grid_columns)]
cols = [cls._trsum(c, mysymbol) for c in game.grid_columns]
rows = [cls._trsum(r, mysymbol) for r in game.grid_rows]
diags = [cls._trsum(r, mysymbol) for r in game.diags]
l = itertools.chain.from_iterable([cells, cols, rows, diags])
return list(l)
@classmethod
def _trsymb(cls, piece, mysymbol):
# Transform symbol
if piece == None:
return 0
elif piece == mysymbol:
return 1
else:
return -1
@classmethod
def _trsum(cls, l, mysymbol):
# Transform symbol and sum list
s = 0
for ll in l:
s += cls._trsymb(ll, mysymbol)
return s