Topic Replies Activity
Can't understand this error when training model from the client 2 March 26, 2021
Kernel crashes with no error message when I train on my 100GB dataset 7 March 24, 2021
saveModel/load model bug 4 March 24, 2021
Does `Booster.predict` use multiple threads by default?
RFC
4 March 22, 2021
How to explain percentage performs better than integer? 1 March 22, 2021
Compute predict output according to tree models 2 March 22, 2021
XGBoost - AFT - plot_tree() leaf labels 6 March 21, 2021
Get_split_value_histogram Method Doesn't Return Actual Splits 1 March 20, 2021
Why is XGBoost model evaluation different from actual prediction? 4 March 20, 2021
Hyperparameter tuning
RFC
2 March 18, 2021
Custom objective function and eval metric with weights 1 March 18, 2021
How can I train a model on a ~400 GB dataset? 10 March 18, 2021
Num_pairsample is not supported within xgboost4j 5 March 18, 2021
Ranking NDCG\Pairwise position sensitivity 5 March 17, 2021
How do I get the same results in versions 0.9 and 1.3.3? 3 March 16, 2021
Understanding feature importance VS feature weights
RFC
1 March 16, 2021
Custom objective function not getting registered 2 March 15, 2021
XGBoost Hyperparameters
RFC
3 March 15, 2021
Link in docs outdated? 1 March 14, 2021
Pickle file size inconsistency 4 March 13, 2021
Can't load Xgboost on Apple Silicon 3 March 11, 2021
XGBoost Python: predict() Vs predict(pred_contribs=True) 2 March 10, 2021
[Feature] Expose TreeShap feature contribution
RFC
5 March 10, 2021
How is multiclass classification trained and predicted for XGBoost? 2 March 10, 2021
Name of XGBoost parameters in Java 1 March 9, 2021
Parallism of xgboost spark version 1 March 9, 2021
Parameter configuration for xgboost with rfecv for huge dataset 2 March 1, 2021
How do i modify code related to split candidate 1 February 25, 2021
How to change the best split candidate
RFC
3 February 25, 2021
Distributed cross-validation training 1 February 22, 2021