class_docstr: Combines Exact Match scores.
class_docstr_tok: ["Combines","Exact","Match","scores","."]
code: def extract_output(
      self, accumulator: _ExactMatchAccumulator
  ) -> Dict[metric_types.MetricKey, float]:
      score = (
          accumulator.total_weighted_exact_match_scores
          / accumulator.total_weighted_examples
      )
      return {self._key: score}
  
file_path: model-analysis/tensorflow_model_analysis/metrics/exact_match.py
imports: import json
  from typing import Dict, Iterable, Optional
  import apache_beam
  from tensorflow_model_analysis.metrics import metric_types
  from tensorflow_model_analysis.metrics import metric_util
  from tensorflow_model_analysis.proto import config_pb2
label_desc: Use image node_id 5 for calling the _ExactMatchCombiner obj's underlying member method code with example usage: obj.extract_output(accumulator) and returns: dict