text: Title: Google colab - Feature selection not working
  Body: This is my setting: dataframe dataset, numerical values, Target is binary classification, I am trying to do feature selectection.
  automl = AutoML(
      mode = 'Compete',
      eval_metric = 'f1',
      validation_strategy = {"validation_type": "custom"},
      results_path=folder+'automl_featsel2_'+subject_val,
      explain_level = 1,
      golden_features = False,
      algorithms = ['Xgboost'],
      features_selection = True,
      stack_models = False,
      hill_climbing_steps = 0,
      top_models_to_improve = 5,
      train_ensemble = False,
      start_random_models = 1,
      kmeans_features = False,
      random_state = 42
    )
  
  Hello, I get the following warning when I fit:
  
  log_loss_eps() got an unexpected keyword argument 'response_method'
  Problem during computing permutation importance. Skipping ...
  'module' object is not callable
  
  Skip features_selection because no parameters were generated.