class_docstr: PredictionDifference computes the avg pointwise diff between models.
class_docstr_tok: ["PredictionDifference","computes","the","avg","pointwise","diff","between","models","."]
docstr: Initializes PredictionDifference metric.
  
  Args:
    name: Metric name.
docstr_tok: ["Initializes","PredictionDifference","metric",".","Args",":","name",":","Metric","name","."]
code: def __init__(self, name: str = SYMMETRIC_PREDICITON_DIFFERENCE_NAME):
      """Initializes PredictionDifference metric.
  
      Args:
        name: Metric name.
      """
  
      super().__init__(
          _symmetric_prediction_difference_computations, name=name
      )
  
file_path: model-analysis/tensorflow_model_analysis/metrics/prediction_difference_metrics.py
imports: import dataclasses
  from typing import Optional, Dict, Iterable, List
  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
  from tensorflow_model_analysis.utils import model_util
label_desc: Use image node_id 1 to create a new SymmetricPredictionDifference object from inherited base classes: metric_types with example: obj = SymmetricPredictionDifference(name)