1.2.6

@pnsemyon

⚠️ R-package is broken in this release. Please use release 1.2.7+

Major changes

CatBoost open source build, test and release infrastructure has been switched to GitHub actions. It is possible to run it if you fork CatBoost repository as well. See the announcement for details.

Adapt numpy dependency specification to prohibit numpy >= 2.0 for now. #2671

User-defined metric GPU evaluation for task_type=GPU. Thanks to @pnsemyon.
GPU Custom objective support. Thanks to @pnsemyon.
[C/C++ applier]. APT_MULTI_PROBABILITY prediction type is now supported. #2639. Thanks to @aivarasbaranauskas.
GroupQuantile metric
Aggregated graph features

[Windows]: Visual Studio 2022 with MSVC toolset 14.29.30133 is now supported. #2302

[GPU]: Increase block size in QueryCrossEntropy (~3x faster on a100 for 6m samples, 350 features, query size near 1).

[C/C++ applier]. Add missed PredictSpecificClassFlat to calcer.exports. #2715
[Linux]. Restore readable backtraces
[GPU] Make CUDA_MAX_THREADS_PER_SM cuda arch-specific
[JVM applier][Windows]: Fixed bloating temp directory with copies of native libraries on Windows. #2622. Thanks to @DKARAGODIN.
Calculate F1, Precision, and Recall for all labels in multi-label classification
Synchronize values of NCB::NModelEvaluation::EPredictionType and EApiPredictionType. #2643
Fix sign of 2nd derivative for Tweedie loss
Fix 'Can't find borders for feature ...' error when using text features on GPU. #2657
Fix indexing of tokenized text features in model saver and dataset loader when some features are ignored
Fix descent direction for Cox regression fix #2701
Fix GetTreeNodeToLeaf in multidimensional case (fixes plot_tree for multidimensional approx with non-oblivious trees). #2668