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Changelog
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
Last updated about 16 hours ago
max_delta_step with CUDA. (#11916)Full Changelog: https://github.com/dmlc/xgboost/compare/v3.1.2...v3.1.3
You can verify the downloaded packages by running the following command on your Unix shell:
echo "<hash> <artifact>" | shasum -a 256 --check
67800a7c1c0455c22c9be73dbf3c39bfd9ac9627b2cb617eb2795fd675a9d49e xgboost-src-3.1.3.tar.gz
f3586dc2da415bba7c3a632b290d653b74eea0caf2ea9e8ffb488cacb57a1dcf xgboost_r_gpu_linux.tar.gz
Experimental binary packages for R with CUDA enabled
Source tarball