def __init__(self):
#self.net= UnbiasedNet.NeuralNet(fw.n_in, fw.n_hidden, fw.n_out, randomInit=False)
self.status = fw.Status()
self.name = "Human"
self.lock = Lock()
self.doneSomething = Condition(self.lock)
self.work = deque()
def __init__(self):
self.net = UnbiasedNet.NeuralNet(fw.n_in,
fw.n_hidden,
fw.n_out,
randomInit=False)
self.status = fw.Status()
self.name = "BettingStation"
def __init__(self):
self.net = UnbiasedNet.NeuralNet(fw.n_in,
fw.n_hidden,
fw.n_out,
randomInit=False)
self.status = fw.Status()
self.name = "CallDefeater"
def __init__(self):
self.net = UnbiasedNet.NeuralNet(fw.n_in,
fw.n_hidden,
fw.n_out,
randomInit=False)
self.status = fw.Status()
self.name = "TightAggressive"
def __init__(self,
stat=None,
name="anonymous",
prob_list={
'Check': 0.25,
'Call': 0.25,
'Raise': 0.25,
'CheckFold': 0.25
}):
self.name = name
if stat == None:
self.status = framework.Status()
else:
self.status = stat
self.prob_list = prob_list
