code: def test_objectmapper_abbr(self):
      df = pdml.ModelFrame([])
  
      # Splitter Classes
      self.assertIs(df.ms.KFold, ms.KFold)
      self.assertIs(df.ms.GroupKFold, ms.GroupKFold)
      self.assertIs(df.ms.StratifiedKFold, ms.StratifiedKFold)
  
      self.assertIs(df.ms.LeaveOneGroupOut, ms.LeaveOneGroupOut)
      self.assertIs(df.ms.LeavePGroupsOut, ms.LeavePGroupsOut)
      self.assertIs(df.ms.LeaveOneOut, ms.LeaveOneOut)
      self.assertIs(df.ms.LeavePOut, ms.LeavePOut)
  
      self.assertIs(df.ms.ShuffleSplit, ms.ShuffleSplit)
      self.assertIs(df.ms.GroupShuffleSplit, ms.GroupShuffleSplit)
      # self.assertIs(df.ms.StratifiedShuffleSplit,
      #               ms.StratifiedShuffleSplit)
      self.assertIs(df.ms.PredefinedSplit, ms.PredefinedSplit)
      self.assertIs(df.ms.TimeSeriesSplit, ms.TimeSeriesSplit)
  
      # Splitter Functions
  
      # Hyper-parameter optimizers
      self.assertIs(df.ms.GridSearchCV, ms.GridSearchCV)
      self.assertIs(df.ms.RandomizedSearchCV, ms.RandomizedSearchCV)
      self.assertIs(df.ms.ParameterGrid, ms.ParameterGrid)
      self.assertIs(df.ms.ParameterSampler, ms.ParameterSampler)
  
imports: import sklearn.datasets
  import sklearn.svm
  import sklearn.naive_bayes
  import numpy
  import pandas
  import pandas_ml
  import pandas_ml.util.testing
label_desc: Use image node_id 2 for calling the TestModelSelection obj's underlying member method code with example usage: obj.test_objectmapper_abbr() without return types