code: def test_unclear_scale_parameter(self):
      # bc.guerrero allows for 'mad' and 'sd', for the MAD and Standard
      # Deviation, respectively
      assert_raises(
          ValueError, self.bc._est_lambda, self.x, scale="test"
      )
  
      # Next, check if mad/sd work:
      self.bc._est_lambda(self.x, scale="mad")
      self.bc._est_lambda(self.x, scale="MAD")
  
      self.bc._est_lambda(self.x, scale="sd")
      self.bc._est_lambda(self.x, scale="SD")
  
file_path: statsmodels/statsmodels/base/tests/test_transform.py
imports: import numpy
  from numpy.testing import assert_almost_equal, assert_equal, assert_raises
  from statsmodels.base.transform import BoxCox
  from statsmodels.datasets import macrodata
label_desc: Use image node_id 5 for calling the TestTransform obj's underlying member method code with example usage: obj.test_unclear_scale_parameter() without return types