code: def metrics():
      """
      show an overview of all metrics supported by igel
      """
      print(f"\nIgel's supported metrics overview: \n")
      reg_metrics = [
          func.__name__ for func in metrics_dict.get("regression")
      ]
      clf_metrics = [
          func.__name__ for func in metrics_dict.get("classification")
      ]
  
      df_metrics = (
          pd.DataFrame.from_dict(
              {
                  "regression": reg_metrics,
                  "classification": clf_metrics,
              },
              orient="index",
          )
          .transpose()
          .fillna("----")
      )
  
      df_metrics = tableize(df_metrics)
      print(df_metrics)
  
imports: import logging
  import os
  import subprocess
  from pathlib import Path
  import click
  import igel
  import pandas
  from igel import Igel, metrics_dict
  from igel.constants import Constants
  from igel.servers import fastapi_server
  from igel.utils import print_models_overview, show_model_info, tableize
label_desc: Use image node_id 10 for calling a global function with example usage: metrics() without return types