« Changelog History


catboost v0.19.1 Release Notes

Release Date: 2019-11-19 // over 4 years ago

  • 🆕 New features:

    • With this release we support Text features for classification on GPU. To specify text columns use text_features parameter. Achieve better quality by using text information of your dataset. See more in Learning CatBoost with text features
    • MultiRMSE loss function is now available on CPU. Labels for the multi regression mode should be specified in separate Label columns
    • MonoForest framework for model analysis, based on our NeurIPS 2019 paper. Learn more in MonoForest tutorial
    • boost_from_average is now True by default for Quantile and MAE loss functions, which improves the resulting quality

    Speedups:

    • Huge reduction of preprocessing time for datasets loaded from files and for datasets with many samples (> 10 million), which was a bottleneck for GPU training
    • 3x speedup for small datasets