code: def print_models_overview():
      print(f"\nIgel's supported models overview: \n")
      reg_algs = list(models_dict.get("regression").keys())
      clf_algs = list(models_dict.get("classification").keys())
      cluster_algs = list(models_dict.get("clustering").keys())
      df_algs = (
          pd.DataFrame.from_dict(
              {
                  "regression": reg_algs,
                  "classification": clf_algs,
                  "clustering": cluster_algs,
              },
              orient="index",
          )
          .transpose()
          .fillna("----")
      )
  
      df = tableize(df_algs)
      print(df)
  
file_path: igel/igel/utils.py
imports: import json
  import logging
  import joblib
  import pandas
  import yaml
  from igel.configs import configs
  from igel.data import metrics_dict, models_dict
label_desc: Use image node_id 11 for calling a global function with example usage: print_models_overview() without return types