class_docstr: Frozen-encoder coreference model.
class_docstr_tok: ["Frozen-encoder","coreference","model","."]
code: def _make_edges(self, inputs: list[JsonDict], show_progress=False):
      if show_progress:
          progress = lambda x: tqdm.tqdm(x, total=len(inputs))
      else:
          progress = lambda x: x
      return edge_predictor.EdgeFeaturesDataset.build(
          inputs,
          self.encoder,
          progress=progress,
          verbose=show_progress,
          **self.extractor_kw,
      )
  
imports: import os
  from absl import logging
  from lit_nlp.api import dtypes
  from lit_nlp.api import model
  from lit_nlp.api import types
  from lit_nlp.examples.coref import edge_predictor
  from lit_nlp.examples.coref import encoders
  from lit_nlp.examples.coref.datasets import winogender
  from lit_nlp.lib import utils
  import numpy
  import tqdm
label_desc: Use image node_id 3 for calling the FrozenEncoderCoref obj's underlying member method code with example usage: obj._make_edges(inputs, show_progress) and returns: edge_predictor