code: def _get_builtin_metrics(ext_task: str) -> Dict[str, str]:
      """
      :param tmpl: The template kind, e.g. `regression/v1`.
      :return: The builtin metrics for the mlflow evaluation service for the model type for
      this template.
      """
      if ext_task == "regression":
          return BUILTIN_REGRESSION_RECIPE_METRICS
      elif ext_task == "classification/binary":
          return BUILTIN_BINARY_CLASSIFICATION_RECIPE_METRICS
      elif ext_task == "classification/multiclass":
          return BUILTIN_MULTICLASS_CLASSIFICATION_RECIPE_METRICS
      raise MlflowException(
          f"No builtin metrics for template kind {ext_task}",
          error_code=INVALID_PARAMETER_VALUE,
      )
  
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 4 for calling a global function with example usage: _get_builtin_metrics(ext_task) and returns: BUILTIN_REGRESSION_RECIPE_METRICS, BUILTIN_BINARY_CLASSIFICATION_RECIPE_METRICS, BUILTIN_MULTICLASS_CLASSIFICATION_RECIPE_METRICS