def norm5(cls, data):
data = [[d] for d in data]
print "deviation ", Preprocess.standard_deviation(data)
# data = Preprocess.scale(data)
# print 'deviation ', Preprocess.standard_deviation(data)
data = [(d[0] * 10) + 0.5 for d in data]
return data
def norm4(cls, data):
data = [[d] for d in data]
print "deviation ", Preprocess.standard_deviation(data)
data = [d[0] for d in data]
data = Preprocess.root(data, 2)
data = Preprocess.squeeze(data)
data = Preprocess.squeeze(data)
# data = [[d] for d in data]
# data = Preprocess.scale(data)
# data = [d[0] for d in data]
data = [[d] for d in data]
print "deviation ", Preprocess.standard_deviation(data)
# data = preprocessing.normalize(data, norm='l2')
data = Preprocess.norm(data)
print "deviation ", Preprocess.standard_deviation(data)
data = [d[0] - 0.04 for d in data]
data = [round(d, 1) for d in data]
return data
