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Issues list

[jvm-packages] improve the visibility of error when persisting model
#3715 opened Sep 20, 2018 by CodingCat updated Sep 20, 2018
[jvm-packages] support early stop with customized eval metrics in jvm-layer
#3813 opened Oct 19, 2018 by CodingCat updated Oct 19, 2018
[jvm-packages] Add predictRaw and raw2probabilityInPlace to XGBoostClassificationModel
#3790 opened Oct 13, 2018 by tovbinm updated Oct 24, 2018
[jvm-packages] error using a custom evaluation function (setCustomEval) on spark known-issue
#3595 opened Aug 16, 2018 by wsobra updated Mar 13, 2019
1
19
[jvm-packages] XGBoost doesn't generate as many tree as specified in the num_round parameter
#4390 opened Apr 21, 2019 by charmby updated May 31, 2019
2
[jvm-package] Prediction contributions dropped for empty columns when training matrix is sparse
#4605 opened Jun 26, 2019 by zhangxiubo updated Jun 27, 2019
4
[jvm-packages] efficient optimal # of trees search
#3814 opened Oct 19, 2018 by CodingCat updated Jul 4, 2019
1
[jvm-packages] XGBoost4J-Spark crashes with data having NaN value
#4714 opened Jul 30, 2019 by Richardxxxxxxx updated Aug 6, 2019
6
[jvm-packages] Scaladoc issues with 2.12
#4779 opened Aug 16, 2019 by thesuperzapper updated Aug 17, 2019
4
[jvm-packages] Issue in saving Xgboost model in spark scala and then load to the single Python model
#4765 opened Aug 13, 2019 by hellotherecsy updated Aug 26, 2019
1
[jvm-package] The train DMatrix has been added to eval DMatrix sets twice in spark pipeline.
#4830 opened Sep 4, 2019 by firestarman updated Sep 5, 2019
[JVM-package] How could i use additional column just for object function calculation not for train
#4920 opened Oct 9, 2019 by zhangjinrui2718 updated Oct 10, 2019
2
[RFC] Design of Checkpoint Mechanism in XGBoost-Spark status: RFC
#4786 opened Aug 17, 2019 by CodingCat updated Oct 24, 2019
10
[jvm-packages] eval_sets not taken into account for
#4888 opened Sep 24, 2019 by borisclemencon updated Oct 30, 2019
2
[jvm-packages] Training crashes with a very wide feature matrix input read from libsvm
#5041 opened Nov 15, 2019 by kuanghan updated Nov 15, 2019
Use xgboost to categorize a continuous variable, conditional on prediction and other covariates feature-request
#4787 opened Aug 18, 2019 by bakaburg1 updated Dec 3, 2019
3
Node not parsed correctly by xgb.model.dt.tree if split criteria is "<Inf"
#3900 opened Nov 15, 2018 by dshopin updated Dec 17, 2019
6
[jvm-package] how to make xgboost4j-spark use DenseVector to build model on version 0.90
#5068 opened Nov 27, 2019 by 271983592 updated Dec 17, 2019
2
DART tree weights aren't visible in R feature-request
#5051 opened Nov 18, 2019 by Kodiologist updated Dec 19, 2019
2
reading some 'nan' from libsvm file leads to label leakage type: bug
#4356 opened Apr 10, 2019 by kretes updated Dec 20, 2019
@trivialfis
8
[RFC] 1Tb benchmark
#4952 opened Oct 16, 2019 by trams updated Jan 28, 2020
17
Verify and document the need for model calibration. feature-request
#5148 opened Dec 22, 2019 by trivialfis updated Feb 2, 2020
@trivialfis
3
Patsy dmatrices compatibility feature-request
#5323 opened Feb 18, 2020 by kavvkon updated Feb 19, 2020
1
Simplify installation doc doc feature-request
#5282 opened Feb 4, 2020 by hcho3 updated Feb 19, 2020
[jvm-packages] Checkpointing performance issue in XGBoost4J-Spark
#3946 opened Nov 28, 2018 by alois-bissuel updated Feb 20, 2020
28
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