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
On the latest version (2.03) of xgboost4j-spark XGBoostClassifer and XGBoostRegressor are available for classification and regression trainning tasks, but there seems to be no equivalent pipeline for learning-to-rank tasks. How should I train a ranking model using current pipelines or lower level apis?Has anyone successfully run it on spark before?
The text was updated successfully, but these errors were encountered:
The JVM package implements LTR as regression. Yeah, we can have some additional features in there, but let me finish the networking first, it's a huge time killer
On the latest version (2.03) of xgboost4j-spark XGBoostClassifer and XGBoostRegressor are available for classification and regression trainning tasks, but there seems to be no equivalent pipeline for learning-to-rank tasks. How should I train a ranking model using current pipelines or lower level apis?Has anyone successfully run it on spark before?
The text was updated successfully, but these errors were encountered: