catboost/catboost v1.2.5 on GitHub

New features

[Python-package]: Support custom eval metrics on GPU. #1792. Thanks to @pnsemyon.

[Python-package]: Check eval_period parameter validity for staged prediction. #2593
[Python-package]: Fix _CustomLoggersStack.pop logic. #2620
[R-package]: Fix Caret object: Inconsistent grid creation with documentation. #2609
[JVM applier]: Fix issues with exposing undesired symbols in JNI shared libraries (including allocators) on macOS. #2606
Fix training with embedding features on GPU. #2249, #2308, #2591
Fix training with text features on GPU
Use correct sample count in MultiRMSE on multiple GPUs. #2557
Fix sign of 2nd order derivative in Huber loss
Enable gradient walker for non-additive metrics
Fixes for Cox objective: buffer overflow in derivatives calculation, derivatives summation, metric calculation, disable ordered boosting
Fix text features data serialization in the model files