class_docstr: Unit test class for testing scikit-learn sklearn_converter.
class_docstr_tok: ["Unit","test","class","for","testing","scikit-learn","sklearn_converter","."]
docstr: Set up the unit test by loading the dataset and training a model.
docstr_tok: ["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.
      """
      if not _HAS_SKLEARN:
          return
  
      scikit_data = load_boston()
      scikit_model = SVR(kernel="linear")
      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
  
imports: import random
  import tempfile
  import unittest
  import numpy
  import pandas
  import pytest
  from coremltools._deps import _HAS_LIBSVM, _HAS_SKLEARN, MSG_LIBSVM_NOT_FOUND, MSG_SKLEARN_NOT_FOUND
  from coremltools.models.utils import _is_macos, _macos_version, evaluate_regressor
label_desc: Use image node_id 1 for calling the SvrScikitTest obj's underlying member method code with example usage: obj.setUpClass() without return types