text: import argparse
  
  import yaml
  from sklearn.model_selection import StratifiedKFold
  
  from ayniy.model.runner import Runner
  
  if __name__ == "__main__":
      """
      cd experiments
      python runner.py --run configs/run000.yml
      """
      parser = argparse.ArgumentParser()
      parser.add_argument("--run")
      args = parser.parse_args()
  
      cv = StratifiedKFold(n_splits=5, shuffle=True, random_state=7)
  
      if args.run:
          f = open(args.run, "r+")
          run_configs = yaml.load(f, Loader=yaml.SafeLoader)
  
          runner = Runner(run_configs, cv)
          runner.run_train_cv()
          runner.run_predict_cv()
          runner.submission()
  