code: def _get_custom_behaviour(estimator_cls):
      custom = dict(
          # H2ODeepLearningRegressor=dict(scores_may_differ=True),
      )
      return custom.get(estimator_cls.__name__, dict())
  
file_path: h2o-3/h2o-py/tests/testdir_sklearn/pyunit_sklearn_regression_all_estimators.py
imports: from collections import defaultdict
  from functools import partial
  import gc, inspect, os, sys
  import numpy
  from sklearn.datasets import make_regression
  from sklearn.metrics import r2_score
  from sklearn.model_selection import train_test_split
  import h2o
  from h2o.sklearn.wrapper import H2OConnectionMonitorMixin
  from tests import pyunit_utils, Namespace
label_desc: Use image node_id 3 for calling a global function with example usage: _get_custom_behaviour(estimator_cls) and returns: custom