You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
When saving XGBoostClassificationModel, XGBoostClassificationModel will add the num class into the beginning of the xgboost native model resulting in the model being xgboost in-compatible, which means xgboost native/xgboost python can't load the model trained from XGBoost4j directly.
Although XGBoostClassificationModel provides a way to produce the XGBoost native model by
model.nativeBooster.saveModel(model_path)
But it's really un-convenient to add extra step to get the model.
The text was updated successfully, but these errors were encountered:
When saving XGBoostClassificationModel, XGBoostClassificationModel will add the num class into the beginning of the xgboost native model resulting in the model being xgboost in-compatible, which means xgboost native/xgboost python can't load the model trained from XGBoost4j directly.
Although XGBoostClassificationModel provides a way to produce the XGBoost native model by
But it's really un-convenient to add extra step to get the model.
The text was updated successfully, but these errors were encountered: