Source code for pyFTS.common.transformations.normalization
from pyFTS.common.transformations.transformation import Transformation
[docs]class Normalization(Transformation):
def __init__(self, **kwargs):
super(Normalization, self).__init__()
self.name = 'Normalization'
self.mu = 0
self.sigma = 0
[docs] def train(self, data, **kwargs):
self.mu = np.mean(data)
self.sigma = np.std(data)
[docs] def apply(self, data, param=None, **kwargs):
modified = (data - self.mu) / self.sigma
return modified
[docs] def inverse(self, data, param=None, **kwargs):
modified = (data * self.sigma) + self.mu
return modified