docstr: classifier_name : str
      Obsolete. Do not use any more.
  num_classes : int
      Number of classes.
  kwargs : dict
      Keyword arguments that are passed to the constructor of each classifier that is built by the factory.
docstr_tok: ["classifier_name",":","str","Obsolete",".","Do","not","use","any","more",".","num_classes",":","int","Number","of","classes",".","kwargs",":","dict","Keyword","arguments","that","are","passed","to","the","constructor","of","each","classifier","that","is","built","by","the","factory","."]
code: def __init__(self, classifier_name, num_classes, kwargs={}):
      """
      classifier_name : str
          Obsolete. Do not use any more.
      num_classes : int
          Number of classes.
      kwargs : dict
          Keyword arguments that are passed to the constructor of each classifier that is built by the factory.
      """
      self.classifier_name = classifier_name
      self.num_classes = num_classes
      self.kwargs = kwargs
  
imports: from small_text.classifiers.factories import AbstractClassifierFactory
  from small_text.integrations.pytorch.classifiers.kimcnn import KimCNNClassifier
label_desc: Use image node_id 1 to create a new KimCNNFactory object from inherited base classes: AbstractClassifierFactory with example: obj = KimCNNFactory(classifier_name, num_classes, kwargs)