class_docstr: Micro-average wrapper.
  
  The provided metric is updated with the value of each output.
  
  Parameters
  ----------
  metric
      A classification or a regression metric.
class_docstr_tok: ["Micro-average","wrapper",".","The","provided","metric","is","updated","with","the","value","of","each","output",".","Parameters","--","--","--","--","--","metric","A","classification","or","a","regression","metric","."]
code: def __init__(self, metric):
      self._metric = metric
  
file_path: river/river/metrics/multioutput/micro.py
imports: from __future__ import annotations
  from river import metrics, utils
  from river.metrics.multioutput.base import MultiOutputMetric
label_desc: Use image node_id 1 to create a new MicroAverage object from inherited base classes: MultiOutputMetric, metrics.base with example: obj = MicroAverage(metric)