code: def transform_multiclass_metric(
      metric_name: str, ext_task: str
  ) -> str:
      if ext_task == "classification/multiclass":
          for m in BUILTIN_MULTICLASS_CLASSIFICATION_RECIPE_METRICS:
              if metric_name in m.name:
                  return m.name
      return metric_name
  
file_path: mlflow/mlflow/recipes/utils/metrics.py
imports: import importlib
  import logging
  import sys
  from typing import Any, Dict, List, Optional
  from mlflow.exceptions import BAD_REQUEST, MlflowException
  from mlflow.models import EvaluationMetric, make_metric
  from mlflow.protos.databricks_pb2 import INVALID_PARAMETER_VALUE
label_desc: Use image node_id 5 for calling a global function with example usage: transform_multiclass_metric(metric_name, ext_task) and returns: metric_name, m