code: def test_lasso_stability_path(self):
      diabetes = datasets.load_diabetes()
      df = pdml.ModelFrame(diabetes)
  
      result = df.linear_model.lasso_stability_path(
          random_state=self.random_state
      )
      expected = lm.lasso_stability_path(
          diabetes.data, diabetes.target, random_state=self.random_state
      )
  
      self.assertEqual(len(result), 2)
      tm.assert_numpy_array_equal(result[0], expected[0])
  
      self.assertIsInstance(result[1], pdml.ModelFrame)
      tm.assert_index_equal(result[1].index, df.data.columns)
      tm.assert_numpy_array_equal(result[1].values, expected[1])
  
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 4 for calling the TestLinearModel obj's underlying member method code with example usage: obj.test_lasso_stability_path() without return types