Topic Replies Activity
Welcome to XGBoost Community 1 July 4, 2018
How to read xgboost binary buffer file 4 November 26, 2021
XGBRanker with cross validation gives inconsistent group error 1 November 26, 2021
Xgb.shap.data not found 6 November 23, 2021
What are the tradeoffs associated with the various XGBoost interfaces? 2 November 23, 2021
XGBoost single node Multi GPU DaskDeviceQuantileDMatrix Freezes 3 November 19, 2021
AWS Developer Needed 1 November 19, 2021
Error when using dataframe 1 November 18, 2021
ValueError: Input contains NaN, infinity or a value too large for dtype('float32')
RFC
8 November 18, 2021
Objective function definition 1 November 16, 2021
GXBoost Error after reinstall. Please Help 1 November 16, 2021
XGBoost4j - sparse vector prediction 3 November 15, 2021
Extrapolation of a known function 1 November 11, 2021
Xgboost Booster vs future for DaskXGBRegressor.predict()
RFC
5 November 10, 2021
Wrong results after conversion to CoreML 5 November 10, 2021
XGBoost iteration_range defined differently in sklearn API and docs 5 November 9, 2021
Scikit-Learn wrapper 3 November 9, 2021
XGBoost with GPU for Win Failing on Install 2 November 6, 2021
Pyspark3.1.2 with xgboost, where can I find the right version of sparkxgb.zip package 1 November 5, 2021
Distributed XGBoost training on multi-node and multi-GPU cluster 2 November 4, 2021
Will old XGB GPU build work for new RTX 3080?
RFC
3 November 3, 2021
How are cached DMatrix are used in a Booster? 9 November 3, 2021
How to reduce the model randomness? or stabilize the model 6 November 3, 2021
How can I train use grow_gpu_hist but predict on cpu? 4 November 2, 2021
SIGSEGV errors and python crashing 3 November 2, 2021
NaN values with early stopping 7 October 25, 2021
Docker image doesn't run with XGBoost version 1.5.0 2 October 22, 2021
Shap Summary Function Failing 1 October 21, 2021
Huge AUC drop when upgrading from XGBoost4J-Spark 0.90 3 October 21, 2021
XDBoost in openembedded? 3 October 21, 2021