class_docstr: The main class for modelTuner
  
  Attributes:
      method: the optimization method. Currently only 'gradient_descent'
              is supported.
      loss:   the optimization loss function. Currently only 'mse' (one-day
              ahead prediction) is supported.
docstr: Get the tuned discounting factors. One for each component (even the
  component being multi-dimensional, only one discounting factor will
  be assigned to one component). Initialized to None.
code: def getDiscounts(self):
      """Get the tuned discounting factors. One for each component (even the
      component being multi-dimensional, only one discounting factor will
      be assigned to one component). Initialized to None.
  
      """
      return self.discounts
  
file_path: pydlm/pydlm/tuner/dlmTuner.py
imports: from copy import deepcopy
  from numpy import array
  import logging
label_desc: Use image node_id 3 for calling the modelTuner obj's underlying member method code with example usage: obj.getDiscounts() and returns: self