Bump catboost from 1.2.1.1 to 1.2.2

[dependabot]

Bumps catboost from 1.2.1.1 to 1.2.2.

Release notes

Sourced from catboost's releases.

1.2.2

Bugfixes

• Fix LossFunctionChange fstr with embedding features.
• Fix a segmentation fault in JVM applier when using embedding features on JVM 11+.
• Fix CTR data handling in model summation (especially for models with CTRs with multiple target quantizations).

Changelog

Sourced from catboost's changelog.

Release 1.2.2

Bugfixes

• Fix LossFunctionChange fstr with embedding features.
• Fix a segmentation fault in JVM applier when using embedding features on JVM 11+.
• Fix CTR data handling in model summation (especially for models with CTRs with multiple target quantizations).

Release 1.2.1

New features

• Allow to optimize specific ranking loss functions with YetiRank and YetiRankPairwise by specifying mode parameter. See Which Tricks are Important for Learning to Rank? paper for details (this family of losses is called YetiLoss there). CPU-only for now.
• Add Kernel Gradient Boosting support (use catboost.sample_gaussian_process function). #2408, thanks to @​TakeOver. See Gradient Boosting Performs Gaussian Process Inference paper for details.
• LambdaMart loss: support new target metrics MRR, ERR and MAP.
• StochasticRank loss: support new target metrics ERR and MRR.
• Support MultiRMSE on GPU. #2264, #2390
• Load JSON model format in Java Client. #1627, thanks to @​timotta
• Implement exporting of Multiclass models to C++ and Python. #2283, thanks to @​antoninkriz

Improvements

• Speedup BM25 feature calcers 3x
• Use int instead of deprecated numpy.int. #2378
• Add ModelCalcerWrapper::CalcFlatTransposed, #2413 thanks to @​faucct
• Update dependencies to avoid known vulnerabilities

Bugfixes

• Fix __shfl_up_sync mask. #2339
• TFocalMetric negative values fix. #2386, thanks to @​diditforlulz273
• Focal loss: Use user-defined alpha and gamma
• Fix exception propagation: Rethrow exceptions caused by user's python code as C++ exceptions
• CatBoost trained with user defined objective was incompatible with ShapValues calculation
• Avoid nan's in Newton step calculation for RMSEWithUncertainty
• Fix score method for y with shape (N, 1). #2405
• Fix scalePosWeight support for Spark. #2470

Release 1.2

Major changes

CatBoost's build system has been switched from Ya Make (Yandex's build system) to CMake. This means more transparency in the build process and more familiar tools for Open Source developers. For now it is possible to build CatBoost for:

• Linux on x86-64 with or without CUDA
• Linux on aarch64 with or without CUDA
• macOS on x86-64 and arm64, including creating universal binaries
• Windows on x86-64 with or without CUDA
• Android (only model applier) on All supported ABIs.

This allowed us to prepare the Python package in the source distribution form (also known as sdist). #830

• msvs subdirectory with the Microsoft Visual Studio solution has been removed. Visual Studio solutions can be generated using CMake instead.
• make subdirectory with Makefiles has been removed. Use CMake + ninja (recommended) or CMake + make instead.

... (truncated)

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