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 __init__(self, winsorizer=None):
      self.scale_multipliers = None
      self.winsorizer = winsorizer
  
file_path: imodels/imodels/util/transforms.py
imports: import numpy
label_desc: Use image node_id 1 to create a new FriedScale object  with example: obj = FriedScale(winsorizer)