class_docstr: Multi Class Evaluation Metric Result
class_docstr_tok: ["Multi","Class","Evaluation","Metric","Result"]
docstr: Add information about metric results for multi-class evaluation
  
  Args:
      metric_tuple(tuple): (evaluation_header, evaluation_metric_dict)
          - evaluation_header(str): a header for current evaluation,
                                  can be split or round number.
          - evaluation_metric_dict(dict): key-value pair for metric
              - key: metric name
              - value: metric dict. The dict should either
               (1) have a `class` keyword, with key-value pair of class name
                      and corresponding values, or
               (2) have a `average` keyword to show a macro-average metric.
      notes(str): text to explain the block
code: def __init__(self, metric_tuple, notes=None) -> None:
      """
      Add information about metric results for multi-class evaluation
  
      Args:
          metric_tuple(tuple): (evaluation_header, evaluation_metric_dict)
              - evaluation_header(str): a header for current evaluation,
                                      can be split or round number.
              - evaluation_metric_dict(dict): key-value pair for metric
                  - key: metric name
                  - value: metric dict. The dict should either
                   (1) have a `class` keyword, with key-value pair of class name
                          and corresponding values, or
                   (2) have a `average` keyword to show a macro-average metric.
          notes(str): text to explain the block
      """
      super(MultiClassEvaluationMetricResult, self).__init__(
          metric_tuple, notes
      )
      self._metric_tuple = metric_tuple
      if not (notes is None):
          self._notes = notes
      else:
          self._notes = (
              "This section shows multi-class evaluation metric."
          )
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from xai.formatter.contents.base import Content
  from xai.formatter.writer.base import Writer
label_desc: Use image node_id 1 to create a new MultiClassEvaluationMetricResult object from inherited base classes: Content with example: obj = MultiClassEvaluationMetricResult(metric_tuple, notes)