code: def _rbf_kernel(self, support_vector):
      elem_wise = [
          ast.PowExpr(
              utils.sub(ast.NumVal(support_element), ast.FeatureRef(i)),
              ast.NumVal(2.0),
          )
          for i, support_element in enumerate(support_vector)
      ]
      kernel = utils.apply_op_to_expressions(
          ast.BinNumOpType.ADD, *elem_wise
      )
      kernel = utils.mul(self._neg_gamma_expr, kernel)
      return ast.ExpExpr(kernel)
  
imports: import numpy
  from m2cgen import ast
  from m2cgen.assemblers import utils
  from m2cgen.assemblers.base import ModelAssembler
label_desc: Use image node_id 6 for calling the SklearnSVMModelAssembler obj's underlying member method code with example usage: obj._rbf_kernel(support_vector) and returns: ast