New features
- #972. Add model evaluation on GPU. Thanks to @rakalexandra.
- Support Langevin on GPU
- Save class labels to models in cross validation
- #1524. Return models after CV. Thanks to @vklyukin
- [Python] #766. Add CatBoostRanker & pool.get_group_id_hash() for ranking. Thanks to @AnnaAraslanova
- #262. Make CatBoost widget work in jupyter lab. Thanks to @Dm17r1y
- [GPU only] Allow to add exponent to score aggregation function
- Allow to specify threshold parameter for binary classification model. Thanks to @Keksozavr.
- [C Model API] #503. Allow to specify prediction type.
- [C Model API] #1201. Get predictions for a specific class.
Breaking changes
- #1628. Use CUDA 11 by default. CatBoost GPU now requires Linux x86_64 Driver Version >= 450.51.06 Windows x86_64 Driver Version >= 451.82.
Losses and metrics
- Add MRR and ERR metrics on CPU.
- Add LambdaMart loss.
- #1557. Add survivalAFT base logic. Thanks to @blatr.
- #1286. Add Cox Proportional Hazards Loss. Thanks to @fibersel.
- #1595. Provide object-oriented interface for setting up metric parameters. Thanks to @ks-korovina.
- Change default YetiRank decay to 0.85 for better quality.
Python package
- #1372. Custom logging stream in python package. Thanks to @DianaArapova.
- #1304. Callback after iteration functionality. Thanks to @qoter.
R package
- #251. Train parameter synonyms. Thanks to @ebalukova.
- #252. Add
eval_metrics. Thanks to @ebalukova.
Speedups
- [Python] Speed up custom metrics and objectives with
numba(if available) - [Python] #1710. Large speedup for cv dataset splitting by sklearn splitter
Other
- Use Exact leaves estimation method as default on GPU
- [Spark] #1632. Update version of Scala 2.11 for security reasons.
- [Python] #1695. Explicitly specify WHEEL 'Root-Is-Purelib' value
Bugfixes
- Fix default projection dimension for embeddings
- Fix
use_weightsfor some eval_metrics on GPU -use_weights=Falseis always respected now - [Spark] #1649. The earlyStoppingRounds parameter is not recognized
- [Spark] #1650. Error when using the autoClassWeights parameter
- [Spark] #1651. Error about "Auto-stop PValue" when using odType "Iter" and odWait
- Fix usage of pairlogit weights for CPU fallback metrics when training on GPU