code: def __init__(self, columns=[], method=CONVERT_INTEGER):
      self._convert_method = method
      self._convert_params = {}
      self._columns = columns
      self._enc = None
  
file_path: mljar-supervised/supervised/preprocessing/preprocessing_categorical.py
imports: import json
  import os
  import numpy
  import pandas
  from supervised.preprocessing.label_binarizer import LabelBinarizer
  from supervised.preprocessing.label_encoder import LabelEncoder
  from supervised.preprocessing.loo_encoder import LooEncoder
  from supervised.preprocessing.preprocessing_utils import PreprocessingUtils
label_desc: Use image node_id 1 to create a new PreprocessingCategorical object from inherited base classes: object with example: obj = PreprocessingCategorical(columns, method)