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
withdtype=object
. #2201 - [Python] Fix specifying
feature_names
inutils.create_cd
. #2211