class_docstr: Object which carries out genetic search and returns top performing model
  upon completion.
code: def _crossover(self, genome1, genome2):
      cross_ind = rand.randint(0, len(genome1))
      child = genome1[:cross_ind] + genome2[cross_ind:]
      return child
  
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 12 for calling the DEvol obj's underlying member method code with example usage: obj._crossover(genome1, genome2) and returns: child