class_docstr: Abstract base class for transformation defences.
class_docstr_tok: ["Abstract","base","class","for","transformation","defences","."]
docstr: Create a transformation object.
  
  :param classifier: A trained classifier.
docstr_tok: ["Create","a","transformation","object",".",":","param","classifier",":","A","trained","classifier","."]
code: def __init__(self, classifier: "CLASSIFIER_TYPE") -> None:
      """
      Create a transformation object.
  
      :param classifier: A trained classifier.
      """
      self.classifier = classifier
      self._is_fitted = False
  
file_path: adversarial-robustness-toolbox/art/defences/transformer/transformer.py
imports: from __future__ import absolute_import, division, print_function, unicode_literals
  import abc
  from typing import List, Optional, TYPE_CHECKING
  import numpy
label_desc: Use image node_id 1 to create a new Transformer object from inherited base classes: abc with example: obj = Transformer(classifier)