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.
      """
      from sklearn.datasets import load_boston
      from sklearn.ensemble import RandomForestRegressor
  
      scikit_data = load_boston()
      scikit_model = RandomForestRegressor(random_state=1)
      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: turicreate/src/external/coremltools_wrap/coremltools/coremltools/test/sklearn_tests/test_random_forest_regression.py
imports: import unittest
  from sklearn.ensemble import RandomForestRegressor
  from coremltools._deps import _HAS_SKLEARN
  from coremltools.proto import Model_pb2
  from coremltools.proto import FeatureTypes_pb2
label_desc: Use image node_id 1 for calling the RandomForestRegressorScikitTest obj's underlying member method code with example usage: obj.setUpClass() without return types