class_docstr: a ``Predictor`` is a thin wrapper around an AllenNLP model that handles JSON -> JSON predictions
  that can be used for serving models through the web API or making predictions in bulk.
class_docstr_tok: ["a","``","Predictor","``","is","a","thin","wrapper","around","an","AllenNLP","model","that","handles","JSON","-",">","JSON","predictions","that","can","be","used","for","serving","models","through","the","web","API","or","making","predictions","in","bulk","."]
docstr: If you don't want your outputs in JSON-lines format
  you can override this function to output them differently.
docstr_tok: ["If","you","do","n't","want","your","outputs","in","JSON-lines","format","you","can","override","this","function","to","output","them","differently","."]
code: def dump_line(self, outputs):  # pylint: disable=no-self-use
      """
      If you don't want your outputs in JSON-lines format
      you can override this function to output them differently.
      """
      return json.dumps(outputs) + "\n"
  
imports: from __future__ import absolute_import
  import json
  from allennlp.common import Registrable
  from allennlp.common.checks import ConfigurationError
  from allennlp.common.util import JsonDict, sanitize
  from allennlp.data import DatasetReader, Instance
  from allennlp.models import Model
  from allennlp.models.archival import load_archive
label_desc: Use image node_id 3 for calling the Predictor obj's underlying member method code with example usage: obj.dump_line(outputs) and returns: unknown