code: def get_categorical_feature_indices(self):
      cat_feature_indices = None
      if self.keep_cat_features == True:
          cat_feature_names = [
              k
              for k, v in self.column_descriptions.items()
              if v == "categorical"
          ]
          cat_feature_indices = [
              self.training_features.index(cat_name)
              for cat_name in cat_feature_names
          ]
  
      return cat_feature_indices
  
imports: from collections import Iterable
  from copy import deepcopy
  import datetime
  import gc
  import os
  import random
  import warnings
  import numpy
  import pandas
  import scipy
  from sklearn.base import BaseEstimator, TransformerMixin
  from sklearn.model_selection import train_test_split
  from sklearn import __version__
  from auto_ml import utils_models
  from auto_ml.utils_models import get_name_from_model
label_desc: Use image node_id 14 for calling the FinalModelATC obj's underlying member method code with example usage: obj.get_categorical_feature_indices() and returns: cat_feature_indices