code: def _preprocess(self, X, **kwargs):
      # Add a fillna call to handle missing values.
      return super()._preprocess(X, **kwargs).fillna(0)
  
file_path: autogluon/examples/tabular/example_custom_model_tabular.py
imports: from autogluon.core.utils import infer_problem_type
  from autogluon.tabular import TabularDataset, TabularPredictor
  from autogluon.tabular.configs.hyperparameter_configs import get_hyperparameter_config
  from autogluon.core.data import LabelCleaner
  from autogluon.core.models import AbstractModel
label_desc: Use image node_id 1 for calling the AdvancedNaiveBayesModel obj's underlying member method code with example usage: obj._preprocess(X) and returns: super