class_docstr: TJUR discrimination accumulator.
code: def __init__(self):
      self.total_negative_weighted_predictions = 0.0
      self.total_negative_weighted_labels = 0.0
      self.total_positive_weighted_predictions = 0.0
      self.total_positive_weighted_labels = 0.0
  
imports: from typing import Any, 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 1 to create a new _TJURDiscriminationAccumulator object  with example: obj = _TJURDiscriminationAccumulator()