Welcome to XGBoost Community (1)
Model compatibility : XGBoost4J-Spark and XGBoost python (1)
Training in Python and Deploying in Spark (1)
Model fit eval_metric for test data (10)
Attribute-Importance XGBoost-JVM (5)
Error Building XGBoost4J Jar in Windows (1)
Why can we only specify missing value as 0.0 in spark? (7)
Class prediction reversal during model training - xgboost4j-spark (1)
Privacy secure federated distributed XGBoost (4)
XGBoost-JVM Funny Results (1)
Bug in C library inference? (1)
Softmax vs softprob - difference? (6)
XGBoost4J-Spark fails on training xgboost 0.90 (1)
Retrieving and modifying XGBoost weights (2)
Questions regarding XGBoost 1.0 release (2)
[jvm-packages] Is scala spark xgboost 0.81 model training reproducible (9)
Categorical Features -> One Hot Encoding vs (Spurious) Ordinal (6)
Customized loss function - derivative -- confusion (1)
How to tell XGBoost model that 2 features are related and should not be interpreted stand-alone? (2)
XGBoost histogram counting to construct a tree (1)
Customized objective function with weights for multi class (1)
How to find out internal logic of trained XGBoost model? (5)
Rmse xgboost check (4)
Is there a C++ API document and usage examples? ( 2 ) (21)
Distributed Gpu Learning (2)
Why is XGBoost with SparkML on Linux so much slower than on Windows (2)
Prediction of count data using XGB Poisson Regression (4)
Is my True Positives metric implementation correct? (1)
XGBoost time-series predictions question (13)
Scale_pos_weight for regression? (11)