Topic Replies Activity
Memory usage on predict()
RFC
1 January 29, 2021
Getting Negative Predictions while using Tweedie Objective in Regression 1 January 29, 2021
DMatrix or DeviceQuantileDMatrix when using Dask XGB 2 January 27, 2021
Acceptance/Rejection of new Trees with Randomization 2 January 27, 2021
XGBoostJ Multiclass classification Java 9 January 23, 2021
Replication of logloss for highly imbalanced dataset 28 December 22, 2020
How to release GPU memory on R after fit?
RFC
6 January 22, 2021
Loading old xgboost model into new version
RFC
3 January 21, 2021
XGBoost4J support on Windows 8 January 21, 2021
Is it possible to add a feature like linear_tree in lightGBM? 2 January 21, 2021
Use of weight in xgb.DMatrix for Tweedie 1 January 20, 2021
Does xgboost support *negative* instance weights? 6 January 20, 2021
Xgboost4j round progress? 2 January 20, 2021
Why is it so slow with objective="binary:logitraw"? 4 January 19, 2021
Value type error when using dask distributed 2 January 19, 2021
Possible bug? Custom objective functions not invariant to scale 2 January 16, 2021
Run Python Xgboost on Docker Windows
RFC
1 January 15, 2021
Weird error when I try to load a model and use predict 3 January 13, 2021
"No visible GPU is found, setting `gpu_id` to -1"
RFC
4 January 12, 2021
Scala 2.13 support 2 January 12, 2021
GPU problem of xgboost 1.4.0-SNAPSHOT 4 January 8, 2021
Data Input for pattern recognition 2 January 6, 2021
XGBoost classifier on heroku dyno takes too much time to fit 2 January 5, 2021
A problem when fitting XGBRegressor with xgb_model initialized 3 January 5, 2021
Passing Output of one model to another model 1 January 4, 2021
Can the data type of Grad and Hess be np.float64? 3 January 4, 2021
Cmake failed when installing Xgb with GPU as R package on Windows 10 5 January 2, 2021
Parallel in R Not Working 4 January 2, 2021
LETOR in the real world 1 January 1, 2021
Performance changes between 1.2.1 and 1.3.1 3 December 31, 2020