code: def to_dict(self) -> Dict[str, Any]:
      data = super(ClassificationProcessor, self).to_dict()
      data["config"]["multi_label"] = self.multi_label
      return data
  
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 1 for calling the ClassificationProcessor obj's underlying member method code with example usage: obj.to_dict() and returns: data