class_docstr: Unit test class for testing scikit-learn 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
  
      self.scikit_model = NuSVR(kernel="linear")
      self.data = load_boston()
      self.scikit_model.fit(self.data["data"], self.data["target"])
  
imports: import pandas
  import tempfile
  import random
  import unittest
  import pytest
  from coremltools._deps import _HAS_LIBSVM, MSG_LIBSVM_NOT_FOUND, _HAS_SKLEARN, MSG_SKLEARN_NOT_FOUND
  from coremltools.models.utils import evaluate_regressor, _macos_version, _is_macos
label_desc: Use image node_id 1 for calling the NuSVRScikitTest obj's underlying member method code with example usage: obj.setUpClass() without return types