Topic Replies Activity
XGBoost, XGBoost hist and LightGBM benchmark: XGBoost hist performance drop 4 April 5, 2022
XGBRanker prediction 1 April 4, 2022
Hierarchical model 4 March 31, 2022
Customized loss function - derivative -- confusion 2 March 30, 2022
Custom Objectives 9 July 13, 2021
Very large NDCG result 7 July 1, 2020
Parameters: { "nrounds" } might not be used 5 March 30, 2022
Why XGBoost seems to train slower but predict faster than LightGBM 1 March 27, 2022
Using Features of different dimensions in XGBoost Classifier 4 March 25, 2022
What SHAP algorithm does xgboost "pred_contribs" method use? 2 March 24, 2022
Warning Message When optimizing 'early_stopping_rounds' of XGBClassifier with GridSearchCV 2 March 24, 2022
Conda install -c anaconda py -xgboost 2 March 24, 2022
Multi-label Classification With XGBoost 2 March 24, 2022
Xgboost dll size 4 March 24, 2022
Why can't you rebalance the dataset if you want to predict probabilities? 11 March 16, 2022
IPv6 support for distributed XGBoost 1 March 8, 2022
AttributeError: module 'cupy' has no attribute 'ndarray' 1 March 7, 2022
Warning Message When Running XGBoost 1.5.2 3 February 25, 2022
What is the Formula of a XGBoost Model? 1 February 25, 2022
Catastrophically bad performance with absolute-error-like objective functions 2 February 17, 2022
How to reduce the model randomness? or stabilize the model 7 February 15, 2022
"feature_weights " doesn't work 5 February 14, 2022
XGBoost Regressor one-step ahead trainning 1 February 11, 2022
CWE-120 on xgboost by dependency track
RFC
4 February 11, 2022
XGBRegressor - using sklearn.metrics function as objective 2 February 11, 2022
Help with Baysian Hyperparameter tuning
RFC
1 February 10, 2022
Dask xgboost partial dependence plots?
RFC
1 February 4, 2022
Some __init__ parameters are ignored when initializing a DMatrix from a DataIter 1 February 3, 2022
How to set the logging level in the JVM package? 1 February 2, 2022
Xgboost4j - support for Alpine Linux and/or macos/arm64 planned? 6 February 2, 2022