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@andrey-khropov andrey-khropov released this 01 Nov 19:55
v1.1.1
e125028

Release 1.1.1

New features

  • Support building for Linux on aarch64 from sources using CMake (no prebuilt binaries or PyPI packages yet). #1981
  • [C/C++ applier] Support embedding features. #2172
  • [C/C++ applier] Add GetModelUsedFeaturesNames. #2204
  • [Python] Add text features to utils.create_cd. #2193
  • [Spark] Full support for Apache Spark 3.3
  • [Spark] Read/write PySpark's DataFrame-like API for Pool. #2030
  • [Spark] Allow to specify trainingDriver and worker listening ports. #2181

Bugfixes

  • Fix prediction dimension check for RMSEWithUncertainty and MultiQuantile. #2155
  • [C/C++ applier] Fix segmentation fault in prediction for multiple objects for multiple dimension models.
  • [JVM applier] Fix catboost-common dependency version in catboost-prediction (Fixes JVM applier on macOS). #2121
  • [Python] Update for pandas 1.5.0: iteritems -> items (Fixes annoying deprecation warning). #2179
  • [Python] Fix segmentation fault when target is np.ndarray with dtype=object. #2201
  • [Python] Fix specifying feature_names in utils.create_cd. #2211
Assets 16