code: def test_objectmapper(self):
      df = pdml.ModelFrame([])
      self.assertIs(df.linear_model.ARDRegression, lm.ARDRegression)
      self.assertIs(df.linear_model.BayesianRidge, lm.BayesianRidge)
      self.assertIs(df.linear_model.ElasticNet, lm.ElasticNet)
      self.assertIs(df.linear_model.ElasticNetCV, lm.ElasticNetCV)
  
      self.assertIs(df.linear_model.HuberRegressor, lm.HuberRegressor)
  
      self.assertIs(df.linear_model.Lars, lm.Lars)
      self.assertIs(df.linear_model.LarsCV, lm.LarsCV)
      self.assertIs(df.linear_model.Lasso, lm.Lasso)
      self.assertIs(df.linear_model.LassoCV, lm.LassoCV)
      self.assertIs(df.linear_model.LassoLars, lm.LassoLars)
      self.assertIs(df.linear_model.LassoLarsCV, lm.LassoLarsCV)
      self.assertIs(df.linear_model.LassoLarsIC, lm.LassoLarsIC)
  
      self.assertIs(
          df.linear_model.LinearRegression, lm.LinearRegression
      )
      self.assertIs(
          df.linear_model.LogisticRegression, lm.LogisticRegression
      )
      self.assertIs(
          df.linear_model.LogisticRegressionCV, lm.LogisticRegressionCV
      )
      self.assertIs(df.linear_model.MultiTaskLasso, lm.MultiTaskLasso)
      self.assertIs(
          df.linear_model.MultiTaskElasticNet, lm.MultiTaskElasticNet
      )
      self.assertIs(
          df.linear_model.MultiTaskLassoCV, lm.MultiTaskLassoCV
      )
      self.assertIs(
          df.linear_model.MultiTaskElasticNetCV,
          lm.MultiTaskElasticNetCV,
      )
  
      self.assertIs(
          df.linear_model.OrthogonalMatchingPursuit,
          lm.OrthogonalMatchingPursuit,
      )
      self.assertIs(
          df.linear_model.OrthogonalMatchingPursuitCV,
          lm.OrthogonalMatchingPursuitCV,
      )
      self.assertIs(
          df.linear_model.PassiveAggressiveClassifier,
          lm.PassiveAggressiveClassifier,
      )
      self.assertIs(
          df.linear_model.PassiveAggressiveRegressor,
          lm.PassiveAggressiveRegressor,
      )
  
      self.assertIs(df.linear_model.Perceptron, lm.Perceptron)
      self.assertIs(df.linear_model.RandomizedLasso, lm.RandomizedLasso)
      self.assertIs(
          df.linear_model.RandomizedLogisticRegression,
          lm.RandomizedLogisticRegression,
      )
      self.assertIs(df.linear_model.RANSACRegressor, lm.RANSACRegressor)
      self.assertIs(df.linear_model.Ridge, lm.Ridge)
      self.assertIs(df.linear_model.RidgeClassifier, lm.RidgeClassifier)
      self.assertIs(
          df.linear_model.RidgeClassifierCV, lm.RidgeClassifierCV
      )
      self.assertIs(df.linear_model.RidgeCV, lm.RidgeCV)
      self.assertIs(df.linear_model.SGDClassifier, lm.SGDClassifier)
      self.assertIs(df.linear_model.SGDRegressor, lm.SGDRegressor)
      self.assertIs(
          df.linear_model.TheilSenRegressor, lm.TheilSenRegressor
      )
  
file_path: pandas-ml/pandas_ml/skaccessors/test/test_linear_model.py
imports: import pytest
  import sklearn.datasets
  import sklearn.linear_model
  import sklearn.preprocessing
  import pandas_ml
  import pandas_ml.util.testing
label_desc: Use image node_id 1 for calling the TestLinearModel obj's underlying member method code with example usage: obj.test_objectmapper() without return types