code: def __init__(self, multi_label: bool = False, **kwargs: Any) -> None:
      from kashgari.utils import MultiLabelBinarizer
  
      super(ClassificationProcessor, self).__init__(**kwargs)
      self.multi_label = multi_label
      self.multi_label_binarizer = MultiLabelBinarizer(self.vocab2idx)
  
file_path: Kashgari/kashgari/processors/class_processor.py
imports: import collections
  import operator
  from typing import List, Union, Dict, Optional, Any, Tuple
  import numpy
  import tqdm
  from kashgari.generators import CorpusGenerator
  from kashgari.processors.abc_processor import ABCProcessor
  from kashgari.types import TextSamplesVar
label_desc: Use image node_id 2 to create a new ClassificationProcessor object from inherited base classes: ABCProcessor with example: obj = ClassificationProcessor(multi_label)