class_docstr: Toy example: we want to make predictions on inputs of the form {"inputs": ["hello world", "foo", "bar"]}
class_docstr_tok: ["Toy","example",":","we","want","to","make","predictions","on","inputs","of","the","form","{","``","inputs","''",":","[","``","hello","world","''",",","``","foo","''",",","``","bar","''","]","}"]
code: def output_to_json(
      self, outputs: List[Dict[str, Any]]
  ) -> Dict[str, Any]:
      return {"outputs": outputs}
  
imports: import logging
  from typing import Dict, List, Any
  import numpy
  import pandas
  import torch
  from transfer_nlp.common.tokenizers import CustomTokenizer
  from transfer_nlp.embeddings.embeddings import Embedding
  from transfer_nlp.loaders.loaders import DatasetSplits, DataFrameDataset
  from transfer_nlp.loaders.vectorizers import Vectorizer
  from transfer_nlp.loaders.vocabulary import CBOWVocabulary
  from transfer_nlp.plugins.config import register_plugin
  from transfer_nlp.plugins.predictors import PredictorABC
label_desc: Use image node_id 3 for calling the CBOWPredictor obj's underlying member method code with example usage: obj.output_to_json(outputs) and returns: dict