Hello stackoverflow community !
I am wondering how can I get the fitted XGBoost trees from the function xgboost.cv() https://xgboost.readthedocs.io/en/latest/python/python_api.html#xgboost.cv.
In sklearn, if we use cross_validate(), we have a parameter return_estimator = True that allows to do this https://scikit-learn.org/stable/modules/generated/sklearn.model_selection.cross_validate.html.
Hence my question, is there a way to get use a parameter similar to return_estimator in the xboost.cv() function ?
Thank you all ! :)