class_docstr: A stats generator which counts the number of missing values in a path.
class_docstr_tok: ["A","stats","generator","which","counts","the","number","of","missing","values","in","a","path","."]
docstr: Returns the count of missing values for this stats generator.
docstr_tok: ["Returns","the","count","of","missing","values","for","this","stats","generator","."]
code: def extract_output(self, accumulator: int) -> int:
      """Returns the count of missing values for this stats generator."""
      return accumulator
  
file_path: data-validation/tensorflow_data_validation/statistics/generators/constituents/count_missing_generator.py
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import numpy
  from tensorflow_data_validation import types
  from tensorflow_data_validation.statistics.generators import input_batch
  from tensorflow_data_validation.statistics.generators import stats_generator
  from typing import Iterable, Optional, Text, Tuple, Union
label_desc: Use image node_id 7 for calling the CountMissingGenerator obj's underlying member method code with example usage: obj.extract_output(accumulator) and returns: accumulator