class_docstr: Performs scaling of linear variables according to Friedman et alpha_l. 2005 Sec 5
  
  Each variable is first Winsorized l->l*, then standardised as 0.4 x l* / std(l*)
  Warning: this class should not be used directly.
code: def scale(self, X):
      if self.winsorizer != None:
          return self.winsorizer.trim(X) * self.scale_multipliers
      else:
          return X * self.scale_multipliers
  
file_path: imodels/imodels/util/transforms.py
imports: import numpy
label_desc: Use image node_id 3 for calling the FriedScale obj's underlying member method code with example usage: obj.scale(X) and returns: unknown, unknown