code: def add_cmdline_args(
      cls, parser: ParlaiParser, partial_opt: Optional[Opt] = None
  ):
      super().add_cmdline_args(parser, partial_opt=partial_opt)
      classifier_reranker = parser.add_argument_group(
          "ClassifierReranker args"
      )
      classifier_reranker.add_argument(
          "--include-label-cand-only",
          type="bool",
          default=False,
          help="When passing inputs to the classifier, use only the label targets if set to True.",
      )
      classifier_reranker.add_argument(
          "--target-label",
          type=str,
          default="pos",
          help="The name of the target class/label that we want to maximize the probability of.",
      )
      return parser
  
file_path: ParlAI/parlai/agents/reranker/classifier_reranker.py
imports: from typing import Optional, List
  from parlai.core.agents import create_agent_from_model_file
  from parlai.core.message import Message
  from parlai.core.opt import Opt
  from parlai.core.params import ParlaiParser
  from parlai.agents.reranker.reranker import AbstractReranker, AbstractGeneratorRerankAgent
label_desc: Use image node_id 2 for calling the ClassifierReranker obj's underlying member method code with example usage: obj.add_cmdline_args(cls, parser, partial_opt) and returns: parser