code: def experiment(data_paths: str, yaml_path: str) -> None:
      """
      train, evaluate and use pre-trained model for predictions in one command
      """
      (
          train_data_path,
          eval_data_path,
          pred_data_path,
      ) = data_paths.strip().split(" ")
      Igel(cmd="fit", data_path=train_data_path, yaml_path=yaml_path)
      Igel(cmd="evaluate", data_path=eval_data_path)
      Igel(cmd="predict", data_path=pred_data_path)
  
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 6 for calling a global function with example usage: experiment(data_paths, yaml_path) without return types