RFC


Topic Replies Activity
Hyperparameter tuning 2 March 18, 2021
Understanding feature importance VS feature weights 1 March 16, 2021
XGBoost Hyperparameters 3 March 15, 2021
[Feature] Expose TreeShap feature contribution 5 March 10, 2021
How to change the best split candidate 3 February 25, 2021
Unknown Objective Function Error - SOLVED 1 February 10, 2021
Confidence measures and feature importance for RF 1 February 2, 2021
Memory usage on predict() 1 January 29, 2021
How to release GPU memory on R after fit? 6 January 22, 2021
Loading old xgboost model into new version 3 January 21, 2021
"No visible GPU is found, setting `gpu_id` to -1" 4 January 12, 2021
Does "refresh" option update split thresholds of tree nodes? 4 December 25, 2020
Behavior of eta and max_depth not as expected 8 December 21, 2020
Scale_pos_weight's counterpart for xgboost.train 2 December 20, 2020
Xgb.save setting a file path 13 December 19, 2020
Fault tolerance of distributed XGBoost 10 December 17, 2020
Can someone give an brief overview of how distributed training with XGBoost-4J Spark works? 3 December 16, 2020
Scikit-learn API GPU-Accelerated SHAP values 3 December 13, 2020
Where to find the intercept of models built by xgboost with gblinear? 3 December 2, 2020
Documentation for 'score' method missing for python package 2 November 26, 2020
When using DART booster, is GPU support possible? 3 November 20, 2020
Should we pre-split dataset into small dataset when using distributed xgboost? 5 November 16, 2020
Very first tree in XGBRegressor not centered 2 November 10, 2020
XGBoost version not compiled with GPU support 8 November 10, 2020
Can XGBoost explained by a similar regression tree? 2 October 24, 2020
Serialisation of Large models 3 October 24, 2020
[XGBoost4J-Spark] Category wise Feature importance for One Hot Encoded Features 1 September 4, 2020
Citation and referencing 2 August 31, 2020
Help with XGBRanker for listwise ranking 1 August 6, 2020
Trained DaskXGBRegressor has lower accuracy than sklearn XGBRegressor 4 July 20, 2020