code: def _linear_kernel(self, support_vector):
      elem_wise = [
          utils.mul(ast.NumVal(support_element), ast.FeatureRef(i))
          for i, support_element in enumerate(support_vector)
      ]
      return utils.apply_op_to_expressions(
          ast.BinNumOpType.ADD, *elem_wise
      )
  
imports: import numpy
  from m2cgen import ast
  from m2cgen.assemblers import utils
  from m2cgen.assemblers.base import ModelAssembler
label_desc: Use image node_id 9 for calling the SklearnSVMModelAssembler obj's underlying member method code with example usage: obj._linear_kernel(support_vector) and returns: utils