code: def __init__(self, mutation_rate=0.1, max_num_trials=None):
      self.mutation_rate = mutation_rate
      self.max_num_trials = max_num_trials
      self.count = 0
  
imports: import os
  import random
  import numpy
  import logging
  import sherpa
  import pandas
  import sklearn.gaussian_process
  from sherpa.core import Choice, Continuous, Discrete, Ordinal, AlgorithmState
  from sherpa.core import rng
  import sklearn.model_selection
  import collections
label_desc: Use image node_id 1 to create a new Genetic object from inherited base classes: Algorithm with example: obj = Genetic(mutation_rate, max_num_trials)