code: def init_predictor(self, opt: Opt, shared=None):
      if not shared:
          override = {
              "return_cand_scores": True,
              "datatype": "valid",
              "interactive_mode": opt.get("interactive_mode", True),
              "ignore_bad_candidates": True,
              "encode_candidate_vecs": True,
              "interactive_candidates": "inline",
          }  # to not init optim
          self.predictor = create_agent_from_model_file(
              self.predictor_model_file, opt_overrides=override
          )
      else:
          self.predictor = shared["predictor"]
  
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 3 for calling the ClassifierReranker obj's underlying member method code with example usage: obj.init_predictor(opt, shared) without return types