code: def execute():
      env = Environment(
          train_dataset=get_toy_classification_data(),
          results_path="HyperparameterHunterAssets",
          metrics=["roc_auc_score"],
          cv_type="StratifiedKFold",
          cv_params=dict(n_splits=5, shuffle=True, random_state=32),
      )
  
      experiment = CVExperiment(
          model_initializer=XGBClassifier,
          model_init_params=dict(
              objective="reg:linear",
              max_depth=3,
              n_estimators=100,
              subsample=0.5,
          ),
      )
  
label_desc: Use image node_id 1 for calling a global function with example usage: execute() without return types