chore(deps): update dependency catboost to v1.2.7

[renovate]

This PR contains the following updates:

Package	Change	Age	Adoption	Passing	Confidence
catboost (source)	1.2.3 -> 1.2.7

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Release Notes

catboost/catboost (catboost)

v1.2.7: 1.2.7

Compare Source

Bugfixes

• [R-package]: Restore basic functionality.

Build & testing

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

v1.2.6: 1.2.6

Compare Source

⚠️ 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 specification to prohibit numpy >= 2.0 for now. #​2671

New features

• 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

Build & testing

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

Speedups

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

Improvements

• [datasets] Use mkstemp to replace deprecated mktemp. #​2660. Thanks to @​fatmo666

Bugfixes

• [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

v1.2.5: 1.2.5

Compare Source

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

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[codecov]

Codecov Report

All modified and coverable lines are covered by tests ✅

Project coverage is 71.79%. Comparing base (00053f1) to head (4891b45).
Report is 2 commits behind head on main.

Additional details and impacted files

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  Coverage   71.79%   71.79%           
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  Files          33       33           
  Lines        1145     1145           
  Branches      142      142           
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  Hits          822      822           
  Misses        257      257           
  Partials       66       66           

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