code: def convert(model, features, target):
      
      spec = _generate_base_svm_regression_spec(model)
      spec = set_regressor_interface_params(spec, features, target)
      return _MLModel(spec)
docs: Convert a Support Vector Regressor (SVR) model to the protobuf spec.
      Parameters
      ----------
      model: SVR
          A trained SVR encoder model.
  
      feature_names: [str]
          Name of the input columns.
  
      target: str
          Name of the output column.
  
      Returns
      -------
      model_spec: An object of type Model_pb.
          Protobuf representation of the model