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Releases: NVlabs/gbrl

v1.0.7

23 Jan 19:55
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  • Fixed integration with MSVC.
  • Changed cosine score function in CPU and CUDA.

v1.0.6

20 Nov 13:16
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Improved PyTorch integration

The step and predict/__call__ functions, GBRL functions in GBRL now work directly with PyTorch tensors, eliminating the need to clone data to the CPU and convert it to NumPy.

v1.0.2

30 Jul 16:43
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  • Removed the limitation of using only two optimizers.
  • Changed naming of GradientBoostingTrees class to GBRL.

v1.0.1

12 Jul 04:41
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Added SHAP values

v1.0.0

04 Jun 14:38
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Initial codebase release