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Update news for 1.6.1 (#7877)

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Jiaming Yuan 2022-05-15 06:38:18 +08:00 committed by GitHub
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NEWS.md
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@ -3,6 +3,19 @@ XGBoost Change Log
This file records the changes in xgboost library in reverse chronological order.
## v1.6.1 (2022 May 9)
This is a patch release for bug fixes and Spark barrier mode support. The R package is unchanged.
### Experimental support for categorical data
- Fix segfault when the number of samples is smaller than the number of categories. (https://github.com/dmlc/xgboost/pull/7853)
- Enable partition-based split for all model types. (https://github.com/dmlc/xgboost/pull/7857)
### JVM packages
We replaced the old parallelism tracker with spark barrier mode to improve the robustness of the JVM package and fix the GPU training pipeline.
- Fix GPU training pipeline quantile synchronization. (#7823, #7834)
- Use barrier model in spark package. (https://github.com/dmlc/xgboost/pull/7836, https://github.com/dmlc/xgboost/pull/7840, https://github.com/dmlc/xgboost/pull/7845, https://github.com/dmlc/xgboost/pull/7846)
- Fix shared object loading on some platforms. (https://github.com/dmlc/xgboost/pull/7844)
## v1.6.0 (2022 Apr 16)
After a long period of development, XGBoost v1.6.0 is packed with many new features and