class Whitener:
def __init__(self,filename):
self.filename=filename
try:
self.model=SimpleMeanVarianceModel.load(file(filename,"rb"))
except:
self.model=SimpleMeanVarianceModel()
def __del__(self):
self.model.dump(file(filename,"wb"))
def process(self,x):
self.model.train([ x ],online=True)
return (x-self.model.mean())/(0.00001+self.model.std())
def __init__(self,filename):
self.filename=filename
try:
self.model=SimpleMeanVarianceModel.load(file(filename,"rb"))
except:
self.model=SimpleMeanVarianceModel()
