Pinned issues
Issues
- 3
xgboost4j-spark-gpu train failed on multiple gpu node with EXCLUSIVE_PROCESS mode
#11119 opened by yinqingh - 3
CMake and CPU instructions docs
#11121 opened by david-cortes - 2
Inconsistent predictions
#11120 opened by Hayakawa94 - 5
Does learning rate apply to linear booster?
#11106 opened by david-cortes - 3
Auto encoding for categorical data during inference.
#11088 opened by trivialfis - 1
- 5
[QST] how to build xgboost in docker
#11082 opened by wbo4958 - 6
Pred_contribs in 2.1.1 takes significantly more gpu memory than in 1.4.2
#10936 opened by RostislavStoyanov - 0
[CI] Threaded predict error.
#11103 opened by trivialfis - 5
Incompability between scikit-learn and xgboost
#11093 opened by piotrjacak - 5
Update R parameter constructor.
#11083 opened by trivialfis - 0
CI gpu iterator error.
#11091 opened by trivialfis - 6
[CI] 'DaskXGBClassifier' object has no attribute 'n_classes_'
#11085 opened by hcho3 - 3
- 0
DMatrix loader does not respect verbosity config
#11075 opened by david-cortes - 4
Test fails with Dask 2024.11.0+
#10994 opened by hcho3 - 0
Use QDM automatically for the Dask interface.
#10911 opened by trivialfis - 2
- 4
2.1.3 Patch release.
#10992 opened by trivialfis - 3
API: Custom objectives with zero hessian
#11057 opened by DrumsnChocolate - 1
Performance Issues with predict Call in XGBoost (v2.1.1)
#11054 opened by isslerman - 9
Two slightly different tarballs generated in release script; differentiate them
#11045 opened by jakirkham - 1
ValueError: could not convert string to float
#11013 opened by Checunmily - 1
[CI] group dependabot updates into fewer PRs and/or do not automatically run CI on them
#11044 opened by jameslamb - 2
ERROR : XGBoostError: XGBoost Library (libxgboost.so) could not be loaded
#11048 opened by jeetendraswami5 - 4
Booster could have raw predictions for individual trees
#11049 opened by david-cortes - 2
[R] GC Torture test is very slow
#11030 opened by david-cortes - 2
[RFC] High-level interface for external memory.
#11000 opened by trivialfis - 4
[Question] Is it possible to get the name of the output classes of an XGBClassifier?
#11024 opened by dhombios - 0
Protobuf error.
#11017 opened by trivialfis - 1
[jvm-packages] the latest snapshot packages are broken
#11015 opened by wbo4958 - 2
Python: Better xlabel in plot_importance()
#11008 opened by mayer79 - 1
- 2
XGBoost Python API ignoring random state
#10997 opened by mbarsacchi - 2
discrete features with unique values < max_bin but with some values having very low frequency?
#10999 opened by lukezli - 4
- 3
PySpark params might be outdated.
#10986 opened by trivialfis - 1
Document is not clear on 'topk' and 'mean' for lambdarank_pair_method for lambda rank pair construction
#10991 opened by nsh-bay - 3
Add option to disable ELLPACK format/index arrays for GPU training
#10981 opened by terraflops1048576 - 11
- 2
- 6
- 7
- 0
CUDA virtual memory management with HOST NUMA might require special system capabilities.
#10933 opened by trivialfis - 2
XGBoostj4-spark train failed on the CPU hosts
#10926 opened by NvTimLiu - 0
- 3
Switching to float for histogram building
#10913 opened by Shiki-H - 3
The tracker may not pick up the correct network interface.
#10897 opened by trivialfis - 0
version 2.1.0, how to calculate model predict score from dump_model result。now, I use predict param output_margin=True and iteration_range=(0,1),but the result equal 1.56, boost[0] result is 0.0426801741, where is the gap
#10915 opened by dulante00 - 1
Segmentation fault with enabled `lambdarank_unbiased` and `xgb_model` for training continuation
#10905 opened by dgh0