code: def evalSymbReg(individual, points):
      # Transform the tree expression in a callable function
      func = toolbox.compile(expr=individual)
      # Evaluate the mean squared error between the expression
      # and the real function : x**4 + x**3 + x**2 + x
      sqerrors = (
          (func(x) - x**4 - x**3 - x**2 - x) ** 2 for x in points
      )
      return (math.fsum(sqerrors) / len(points),)
  
file_path: deap/examples/gp/symbreg_epsilon_lexicase.py
imports: import operator
  import math
  import random
  import numpy
  from deap import algorithms
  from deap import base
  from deap import creator
  from deap import tools
  from deap import gp
label_desc: Use image node_id 2 for calling a global function with example usage: evalSymbReg(individual, points) and returns: unknown