def _initialize(self):
self.y_transform = self.y - numpy.mean(self.y)<EOL>self.y_transform /= numpy.std(self.y_transform)<EOL>self.x_transforms = [numpy.zeros(len(self.y)) for _xi in self.x]<EOL>self._compute_sorted_indices()<EOL>
Set up and normalize initial data once input data is specified.