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[CI] Better utilization of CI resources and other CI improvem...
#5891
opened Jul 14, 2020 by
hcho3
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[CI] Better utilization of CI resources and other CI improvements
#5891
opened Jul 14, 2020 by
hcho3
0 of 10
when use spark xgboost model predict the same sample, the predict score is not same
#5889
opened Jul 14, 2020 by
leidaxia
XGBoost gpu_hist running slower than hist (on Higgs dataset and benchmark_tree.py)
#5888
opened Jul 14, 2020 by
VigneshN1997
An error occurred while calling o238.fit. : java.lang.IllegalStateException: SparkContext has been shutdown
#5885
opened Jul 13, 2020 by
rosefun
`early_stopping_rounds` does not work in R but does work in Python with custom objective function
#5878
opened Jul 10, 2020 by
robocopnixon
DaskXGBRegressor with YarnCluster client seems training only happened on one worker
#5865
opened Jul 7, 2020 by
dding3
Trained DaskXGBRegressor has lower accuracy than sklearn XGBRegressor
#5864
opened Jul 7, 2020 by
dding3
Multi-parameter optimization with custom loss function for probabilistic forecasting
#5859
opened Jul 6, 2020 by
StatMixedML
Distributed external memory support for GPU, Lazy XGBoost GPU application to Dask RAPIDS partitions
#5851
opened Jul 3, 2020 by
declan-hernon
XGBoost training seems to be stuck for over 1 and 1/2 days at xgbClassifier.fit()
#5830
opened Jun 26, 2020 by
monicasenapati
[R] generate.cv.folds() converts all label vectors with objectives not reg:squarederror to factors
#5829
opened Jun 26, 2020 by
benmarchi
R XGBoost: No longer producing predictions on .RData or .model files when supplied a matrix
#5815
opened Jun 19, 2020 by
tmbluth
Error in if ((maximize && score > best_score) || (!maximize && score < : missing value where TRUE/FALSE needed
#5807
opened Jun 17, 2020 by
iDemirsoy
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Updated in the last three days: updated:>2020-07-13.