A data scientist has developed and logged a scikit-learn gradient boosting regressor model model, and then they ended their Spark session and terminated their cluster. After starting a new cluster, they want to review the estimators_ of the original model object to analyze each of the trees in the trained model. Which line of code can be used to restore the model object so that estimators_ is available?