class_docstr: Object which carries out genetic search and returns top performing model
  upon completion.
code: def _print_evaluation(self, imod, nmod, igen, ngen):
      fstr = "\nmodel {0}/{1} - generation {2}/{3}:\n"
      print(fstr.format(imod + 1, nmod, igen + 1, ngen))
  
imports: from __future__ import print_function
  import random
  import csv
  import operator
  import gc
  import os
  from datetime import datetime
  from keras.callbacks import EarlyStopping
  from keras.models import load_model
  import keras.backend
  from sklearn.metrics import log_loss
  import numpy
label_desc: Use image node_id 9 for calling the DEvol obj's underlying member method code with example usage: obj._print_evaluation(imod, nmod, igen, ngen) without return types