code: def predict_with_best_estimator(self, X_test):
      return self.best_estimator.predict(
          X_test, ntree_end=self.best_iteration + 1
      )
  
file_path: catboost/catboost/benchmarks/kaggle/rossmann-store-sales/catboost_early_stopping.py
imports: import os.path
  import config
  import experiment_lib
  import catboost
label_desc: Use image node_id 3 for calling the CatBoostExperimentEarlyStopping obj's underlying member method code with example usage: obj.predict_with_best_estimator(X_test) and returns: self