RFC


About the RFC category (1)
Shap values not adding up to margin values (3)
Xgboost Spark - pred contribution = True (3)
Native implementation vs. Sci-kit compatible implementation (2)
How does offset in XGBoost is handled in binary:logistic objective function (1)
Confusion about xgboost sklearn api plot_tree() (3)
XGBoost CLI runs extremely slow on 700G data and never parallel (7)
Model does not train on data in external memory (3)
Is "gpu_hist" only supported by GPU-enabled machine? (3)
Regularization on score (3)
How to measure high-order(3-order) feature importance? (3)
Alternatives for Matrix::sparseMatrix (12)
Weighted loss functions (4)
Feature names ordering (2)
Cannot find XGBoostClassifier (6)
Xgboost Classifier feature importance(Python) (1)
Train on GPU, Run on CPU (2)
Problems building XGBoost w/ GPU support for R (5)
Constraints in the features contribution calculation? (1)
xgBoost tests in R (3)
Effect of using sparse.mode.matrix on already dummified features (1)
How to run tests? (7)
XGBoost with GPU Support on MacOS ( 2 ) (21)
XGBoost parallelization issue on macOS High Sierra (13)
Preprocessing in xgboost cv (1)
Why does row order matter when using xgboost (exact) (2)
The regularization parameters of xgboost (2)
How to get the data volume of the left and right subtrees when every tree splits (2)
Version 8.0 train() prints boosting details with verbose set as false (4)
[jvm-packages]can't install xgboostj-spark v0.80 (4)