RFC
About the RFC category
(1)
Evaluating XGBoost Ranking
(11)
New (faster, more stable) splitting criterion
(5)
Weighted quantile sketch algorithm
(2)
Input format for rank:pairwise objective
(1)
Multithread consistency in XGBoost 0.8
(1)
Logloss increasing with num_rounds in distributed + tree_method=exact
(3)
How to calculate joint feature contribution for XGBoost Classifier in python?
(4)
Numba jit compiled custom objective function
(1)
Segfault during code cleanup
(6)
Is there a way to print a DMatrix as ASCII or JSON?
(2)
XGBoostError: Check failed: jenv->ExceptionOccurred when using input features of sparse vector instead of dense vector in ranking job
(2)
Calculating probabilities with XGBoost - binary:logistic vs custom logloss give different results
(6)
Order of features for model tuning and fitting
(1)
Python xgboost how does a record ID or index align with predict numpy array?
(2)
GPU support for survival:cox
(3)
Description of Distributed Training Algorithm
(1)
XGBClassifier performs worse than xgboost.train() in Python. What's wrong?
(2)
How to interpreter xgboost survival model result with and without output_margin
(3)
Plotting tree in XGBoost
(2)
Test train_auc scores
(2)
Parallel threading with xgboost?
(2)
How to prescribe a limit to response value according to its physical meaning?
(4)
[Feature] Expose TreeShap feature contribution
(4)
Learning with xgboost-0.90 vs 1.0.0
(6)
Build with existing libhdfs.a
(8)
PR: Add BigDenseMatrix.java - please review
(1)
ValueError: Input contains NaN, infinity or a value too large for dtype('float32')
(4)
XGBoost on OSX out-of-the-box
(2)
Understanding the XGBoost LogisticRegression Gradients
(1)
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