RFC
About the RFC category
(1)
How to use nthread with xgb.cv in python
(1)
Evaluating XGBoost Ranking
(4)
What is the function to measure the quality of a split?
(2)
Predict(data, output_margin=True) returns only zero values?
(2)
How fix initial trees without features into get_booster().get_dump()?
(3)
Customized cox proportional hazard loss function in xgboost
(5)
Feature Level Random Sampling
(1)
How to interpreter xgboost survival model result with and without output_margin
(1)
"Error in stri_detect_regex" when using xgb.importance in R
(2)
Build with existing libhdfs.a
(5)
Shap values not adding up to margin values
(6)
Xgboost Spark - pred contribution = True
(3)
Native implementation vs. Sci-kit compatible implementation
(2)
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)
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