code: def __init__(self):
      self._new_columns = []
      self._old_column = None
      self._max_features = 100
      self._vectorizer = None
  
file_path: mljar-supervised/supervised/preprocessing/text_transformer.py
imports: import datetime
  import json
  import warnings
  import numpy
  import pandas
  from sklearn.feature_extraction.text import TfidfVectorizer
label_desc: Use image node_id 1 to create a new TextTransformer object from inherited base classes: object with example: obj = TextTransformer()