code: def get_optimized(self):
      if (
          self.costs[0].n != 4 or self.costs[0].h != 1
      ):  # todo: if changed to depth parameters
          print("error in finding initial model")
      self.initial = self.costs[0]
      for c in self.costs:
          if c.srm_penalty < self.optimized.srm_penalty:
              self.optimized = c
  
file_path: vowpal_wabbit/demo/cats/utility/get_offline_results.py
imports: import sys
  import getopt
  import math
  from confidence_interval import ConfidenceInterval
label_desc: Use image node_id 5 for calling the EvaluatorOffline obj's underlying member method code with example usage: obj.get_optimized() without return types