code: def _generate_base_svm_regression_spec(model):
      
      if not(_HAS_SKLEARN):
          raise RuntimeError('scikit-learn not found. scikit-learn conversion API is disabled.')
  
      spec = _Model_pb2.Model()
      spec.specificationVersion = SPECIFICATION_VERSION
      svm = spec.supportVectorRegressor
  
      _set_kernel(model, svm)
  
      svm.rho = -model.intercept_[0]
      for i in range(len(model._dual_coef_)):
          for cur_alpha in model._dual_coef_[i]:
              svm.coefficients.alpha.append(cur_alpha)
  
      for cur_src_vector in model.support_vectors_:
          cur_dest_vector = svm.denseSupportVectors.vectors.add()
          for i in cur_src_vector:
              cur_dest_vector.values.append(i)
      return spec
docs: Takes an SVM regression model  produces a starting spec using the parts.
      that are shared between all SVMs.