class_docstr: Global Average baseline for rating prediction. Rating predictions equal to average rating
  of training data (not personalized).
  
  Parameters
  ----------
  name: string, default: 'GlobalAvg'
      The name of the recommender model.
code: def __init__(self, name="GlobalAvg"):
      super().__init__(name=name, trainable=False)
  
imports: import numpy
  from ..recommender import Recommender
  from ...exception import ScoreException
label_desc: Use image node_id 1 to create a new GlobalAvg object from inherited base classes: Recommender with example: obj = GlobalAvg(name)