carclassifier.py
def normalise(self, features):
        """Normalises the input feature set. """
        if self.feature_scaler is None:
            raise ValueError('The feature scaler has not yet been fit!')
        else:
            return self.feature_scaler.transform(features)
Normalises the input feature set. 
Normalises the input feature set.
Normalises the input feature set .
def normalise(self, features):
        if self.feature_scaler is None:
            raise ValueError('The feature scaler has not yet been fit!')
        else:
            return self.feature_scaler.transform(features)
def normalise ( self , features ) : if self . feature_scaler is None : raise ValueError ( 'The feature scaler has not yet been fit!' ) else : return self . feature_scaler . transform ( features )
Normalises the input feature set.
Normalises the input feature set .
"""Normalises the input feature set. """
self
features