class_docstr: Unit test class for testing the libsvm 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
      if not _HAS_LIBSVM:
          return
  
      scikit_data = load_boston()
      prob = svmutil.svm_problem(
          scikit_data["target"], scikit_data["data"].tolist()
      )
      param = svmutil.svm_parameter()
      param.svm_type = svmutil.NU_SVR
      param.kernel_type = svmutil.LINEAR
      param.eps = 1
  
      self.libsvm_model = svmutil.svm_train(prob, param)
  
imports: import random
  import tempfile
  import unittest
  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 NuSVRLibSVMTest obj's underlying member method code with example usage: obj.setUpClass() without return types