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[Roadmap] 1.4.0 Roadmap
#6500 opened Dec 14, 2020 by trivialfis
Open 18
1.4.0 Release Candidate
#6793 opened Mar 29, 2021 by hcho3
Open 1
Categorical data support.
#6503 opened Dec 15, 2020 by trivialfis
Open 3
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241 Open 3,713 Closed
241 Open 3,713 Closed
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Speed up dask tests. feature-request
#6816 opened Mar 31, 2021 by trivialfis
@trivialfis
xgboost on spark version 0.9 got Exception (java.util.NoSuchElementException,key not found: train)
#6806 opened Mar 30, 2021 by liuyonglang
2
[FEATURE] Asymmetric Shapley Values feature-request
#6803 opened Mar 30, 2021 by hndrsrynt
Change the default value for HIDE_CXX_SYMBOLSto ON
#6802 opened Mar 30, 2021 by hcho3
1
1.4.0 Release Candidate
#6793 opened Mar 29, 2021 by hcho3 0 of 3
1
[CI] Upgrade to CentOS 7 image for building libxgboost.so
#6791 opened Mar 26, 2021 by hcho3
1
Cost matrix optimization. feature-request
#6790 opened Mar 26, 2021 by trivialfis
Error when training model from Dask client status: need update
#6788 opened Mar 26, 2021 by hcho3
1
the reason of GPU does not provide any performance boost status: need update
#6773 opened Mar 21, 2021 by wenouyang
2
[jvm-packages] macOS builds of 1.0.0 - 1.3.1 don't include OpenMP
#6767 opened Mar 18, 2021 by Craigacp
13
non-linear memory usage for wide data type: bug
#6759 opened Mar 17, 2021 by arnocandel
5
[FEATURE] xgboost.cv returns boosters and out-of-fold predictions in python. feature-request
#6756 opened Mar 16, 2021 by titericz
@trivialfis
[CI] Compatibility issue with NumPy 1.19.5+ and latest SHAP package
#6744 opened Mar 5, 2021 by hcho3
[RFC] Move eval_metric from XGBModel.fit to __init__ and accept sklearn style metrics. type: roadmap
#6735 opened Feb 26, 2021 by trivialfis
1
@trivialfis
3
xgboost4j dependency bloat
#6724 opened Feb 23, 2021 by phraktle
6
[FEATURE] multiclass with dask run each class on separate GPUs feature-request
#6721 opened Feb 22, 2021 by pseudotensor
6
Support parquet or other binary format for external memory feature-request
#6719 opened Feb 21, 2021 by PeterPanonGit
1
[jvm-packages] The reproducibility of distributed training and consistency with Python version
#6715 opened Feb 19, 2021 by dspetukhov
3
[jvm-packages] Spark training ranking broken LTR
#6713 opened Feb 19, 2021 by sammynammari
4
boosters that should be training identically are not type: bug
#6711 opened Feb 17, 2021 by bitfilms
5
Rankings depend on OS LTR
#6709 opened Feb 15, 2021 by gprovencher-cdpq
4
ndcg@k metric is inaccurate LTR
#6707 opened Feb 15, 2021 by PascalIversen
Python build: --use-system-libxgboost cannot find library feature-request
#6706 opened Feb 13, 2021 by adamjstewart
7
[FEA] Allow users to pass in feature names for monotonicity or interaction constraints. feature-request
#6704 opened Feb 12, 2021 by stephenpardy
1
4
Add option to retrieve the outcome of validate_parameters to Python API feature-request
#6703 opened Feb 12, 2021 by KoenSR
4
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