docstr: Poisson score function. May be appropriate to use when the outcome of
  interest is assumed to be Poisson distributed or Binary.
  
  kwargs must contain
  'direction (str)' - direction of the severity; could be higher than expected outcomes ('positive') or lower than expected ('negative')
code: def __init__(self, **kwargs):
      """
      Poisson score function. May be appropriate to use when the outcome of
      interest is assumed to be Poisson distributed or Binary.
  
      kwargs must contain
      'direction (str)' - direction of the severity; could be higher than expected outcomes ('positive') or lower than expected ('negative')
      """
  
      super(Poisson, self).__init__(**kwargs)
  
file_path: AIF360/aif360/detectors/mdss/ScoringFunctions/Poisson.py
imports: from aif360.detectors.mdss.ScoringFunctions.ScoringFunction import ScoringFunction
  from aif360.detectors.mdss.ScoringFunctions import optim
  import numpy
label_desc: Use image node_id 1 to create a new Poisson object from inherited base classes: ScoringFunction with example: obj = Poisson()