code: def _linear_kernel_with_gamma_and_coef(self, support_vector):
      kernel = self._linear_kernel(support_vector)
      kernel = utils.mul(self._gamma_expr, kernel)
      return utils.add(kernel, ast.NumVal(self.model.coef0))
  
imports: import numpy
  from m2cgen import ast
  from m2cgen.assemblers import utils
  from m2cgen.assemblers.base import ModelAssembler
label_desc: Use image node_id 10 for calling the SklearnSVMModelAssembler obj's underlying member method code with example usage: obj._linear_kernel_with_gamma_and_coef(support_vector) and returns: utils