code: def __init__(self):
      super(XGBoostRegressionWithPredictionLogging, self).__init__(
          tests.mocks.pipelines.Xor(),
          lore.estimators.xgboost.Regression(),
      )
  
imports: from sklearn import svm
  import tests
  import lore.models.sklearn
  import lore.models.xgboost
  import lore.models.naive
  import lore.estimators.sklearn
  import lore.estimators.xgboost
  import lore.estimators.naive
label_desc: Use image node_id 1 to create a new XGBoostRegressionWithPredictionLogging object from inherited base classes: lore.models.xgboost with example: obj = XGBoostRegressionWithPredictionLogging()