class_docstr: Encode the categorical features to numerical features.
class_docstr_tok: ["Encode","the","categorical","features","to","numerical","features","."]
code: def get_config(self):
      config = super().get_config()
      config.update(
          {
              "column_types": self.column_types,
              "column_names": self.column_names,
          }
      )
      return config
  
imports: from typing import Optional
  from typing import Tuple
  from typing import Union
  from keras_tuner.engine import hyperparameters
  from tensorflow import nest
  from tensorflow.keras import layers
  from autokeras import analysers
  from autokeras import keras_layers
  from autokeras.engine import block
  from autokeras.utils import io_utils
  from autokeras.utils import utils
label_desc: Use image node_id 4 for calling the CategoricalToNumerical obj's underlying member method code with example usage: obj.get_config() and returns: config