class_docstr: Unit test class for testing scikit-learn converter.
docstr: Set up the unit test by loading the dataset and training a model.
code: def setUpClass(self):
      """
      Set up the unit test by loading the dataset and training a model.
      """
      scikit_data = load_boston()
      scikit_model = Ridge()
      scikit_model.fit(scikit_data["data"], scikit_data["target"])
  
      # Save the data and the model
      self.scikit_data = scikit_data
      self.scikit_model = scikit_model
  
file_path: coremltools/coremltools/test/sklearn_tests/test_ridge_regression.py
imports: import unittest
  import pandas
  from coremltools._deps import _HAS_SKLEARN
  from coremltools.models.utils import _is_macos, _macos_version, evaluate_regressor
label_desc: Use image node_id 1 for calling the RidgeRegressionScikitTest obj's underlying member method code with example usage: obj.setUpClass() without return types