catboost

Python package

• Support Python 3.13 #2748. Thanks to @jeremy010203.
• Support NumPy 2.x. #2671
• Drop support for obsolete Python 3.7.
• Use the proper name of the implementation class as a string id when storing values calculated for custom metrics on GPU. #1792
• Propagate exceptions from custom metrics code on GPU. #1792

CatBoost for Apache Spark

• Fix workers hanging after trai...

(uses catboostmodel native libraries from the main CatBoost release v1.2.7)

• Fix MultiClassification models support. #1903
• Fix predict on GPU. #1901, #1923.
• Make specifying categorical features parameter optional.
• Support text and embedding features. #2523
• Add support for 'MultiProbability' prediction type
• Support Linux aarch64
• Support macOS arm64
• Support Windows x86_64...

Bugfixes

• [R-package]: Restore basic functionality.

Build & testing

• [GPU] Return configuration for multi-node GPU training with CMake-based build. See documentation.

:warning: 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.

Python package

• Adapt numpy dependency...

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 expo...