class_docstr: This constructs a simple bag of words model.
  
  It contains a encoder for encoding candidates and context.
docstr: This function encodes a text_vec to a text encoding.
docstr_tok: ["This","function","encodes","a","text_vec","to","a","text","encoding","."]
code: def encode_text(self, text_vecs):
      """
      This function encodes a text_vec to a text encoding.
      """
      return self.encoder(text_vecs)
  
file_path: ParlAI/parlai/agents/examples/tra.py
imports: from typing import Optional
  from parlai.core.params import ParlaiParser
  from parlai.core.opt import Opt
  from parlai.core.torch_ranker_agent import TorchRankerAgent
  import torch
  from torch import nn
label_desc: Use image node_id 2 for calling the ExampleBagOfWordsModel obj's underlying member method code with example usage: obj.encode_text(text_vecs) and returns: self