RFC


Topic Replies Activity
Test train_auc scores 2 October 27, 2019
Parallel threading with xgboost? 2 October 14, 2019
How to prescribe a limit to response value according to its physical meaning? 4 October 4, 2019
[Feature] Expose TreeShap feature contribution 4 September 26, 2019
Learning with xgboost-0.90 vs 1.0.0 6 September 26, 2019
Build with existing libhdfs.a 8 September 17, 2019
PR: Add BigDenseMatrix.java - please review 1 September 16, 2019
ValueError: Input contains NaN, infinity or a value too large for dtype('float32') 4 August 23, 2019
XGBoost on OSX out-of-the-box 2 July 25, 2019
Understanding the XGBoost LogisticRegression Gradients 1 July 23, 2019
XGBoost objective function 1 July 15, 2019
Predict(data, output_margin=True) returns only zero values? 3 July 11, 2019
How to use nthread with xgb.cv in python 1 June 20, 2019
What is the function to measure the quality of a split? 2 June 18, 2019
How fix initial trees without features into get_booster().get_dump()? 3 June 17, 2019
Customized cox proportional hazard loss function in xgboost 5 June 17, 2019
Feature Level Random Sampling 1 June 15, 2019
"Error in stri_detect_regex" when using xgb.importance in R 2 May 28, 2019
Shap values not adding up to margin values 6 April 23, 2019
Xgboost Spark - pred contribution = True 3 April 11, 2019
Native implementation vs. Sci-kit compatible implementation 2 April 10, 2019
Confusion about xgboost sklearn api plot_tree() 3 March 18, 2019
XGBoost CLI runs extremely slow on 700G data and never parallel 7 March 12, 2019
Model does not train on data in external memory 3 March 8, 2019
Is "gpu_hist" only supported by GPU-enabled machine? 3 March 3, 2019
Regularization on score 3 March 1, 2019
How to measure high-order(3-order) feature importance? 3 March 1, 2019
Alternatives for Matrix::sparseMatrix 12 February 11, 2019
Weighted loss functions 4 February 11, 2019
Feature names ordering 2 February 11, 2019