code: def __repr__(self):
      return self.model.__repr__()
  
imports: from abc import ABCMeta, abstractmethod
  import logging
  import numpy
  from pygam import LogisticGAM, s
  from sklearn.metrics import roc_auc_score
  from sklearn.linear_model import LogisticRegressionCV
  from sklearn.model_selection import StratifiedKFold, train_test_split
  import xgboost
label_desc: Use image node_id 3 for calling the PropensityModel obj's underlying member method code with example usage: obj.__repr__() and returns: self