1.2.5

New features

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

Bugfixes

• [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