class_docstr: Mean label.
class_docstr_tok: ["Mean","label","."]
docstr: Initializes mean label.
  
  Args:
    name: Metric name.
docstr_tok: ["Initializes","mean","label",".","Args",":","name",":","Metric","name","."]
code: def __init__(self, name: str = MEAN_LABEL_NAME):
      """Initializes mean label.
  
      Args:
        name: Metric name.
      """
      super().__init__(
          metric_util.merge_per_key_computations(_mean_label), 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 MeanLabel object from inherited base classes: metric_types with example: obj = MeanLabel(name)