Is there any simple way to estimate the VC dimension for GBM? Or, for more specific implementation XGBoost?

XGBoost usually has large variability when training on a dataset with less than 500 samples more than 1000 features. Is there any way to estimate the model complexity of XGBoost with certain hyperparameters?