class_docstr: Mean prediction.
class_docstr_tok: ["Mean","prediction","."]
docstr: Initializes mean prediction.
  
  Args:
    name: Metric name.
docstr_tok: ["Initializes","mean","prediction",".","Args",":","name",":","Metric","name","."]
code: def __init__(self, name: str = MEAN_PREDICTION_NAME):
      """Initializes mean prediction.
  
      Args:
        name: Metric name.
      """
      super().__init__(
          metric_util.merge_per_key_computations(_mean_prediction),
          name=name,
      )
  
imports: from typing import Any, Dict, Iterable, Optional
  import apache_beam
  import numpy
  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 MeanPrediction object from inherited base classes: metric_types with example: obj = MeanPrediction(name)