code: def load_best_model(best_logdir):
      import lightgbm as lgbm
      import os
  
      best_bst = lgbm.Booster(
          model_file=os.path.join(best_logdir, "model.lgbm")
      )
      return best_bst
  
imports: from sklearn import datasets
  from sklearn.model_selection import train_test_split
  from lightgbm_ray import RayDMatrix, RayParams, train
label_desc: Use image node_id 2 for calling a global function with example usage: load_best_model(best_logdir) and returns: best_bst