code: def create_metric_reporter(cls, config, tensorizers):
      return MyTaggingMetricReporter(
          channels=[ConsoleChannel(), TensorBoardChannel()],
          label_names=list(tensorizers["slots"].vocab),
      )
  
imports: from pytext.metric_reporters.channel import ConsoleChannel, TensorBoardChannel
  from pytext.task.new_task import NewTask
  from .metric import MyTaggingMetricReporter
  from .model import MyTaggingModel
label_desc: Use image node_id 1 for calling the MyTaggingTask obj's underlying member method code with example usage: obj.create_metric_reporter(cls, config, tensorizers) and returns: MyTaggingMetricReporter