catboost/catboost v0.26.1

0.26.1

on GitHub

R package

• Supported text features in R package, thanks to @Glemhel!
• Supported virtual Ensembles in R, thanks to @Glemhel!

New features

• Thank @gmrandazzo for adding multiregression with missing values on targets - MultiRMSEWithMissingValues loss function
• Supported multiclass prediction in C++ wrapper for model inference C API

Bugfixes

• Renamed keyword parameter in predict_proba function from X to data, fixes #1785
• R feature importances: remove pool argument, fix #1438 and #1772
• Fix CUDA training on Windows, multiple issues. main issue with details #1735
• Issue #1728: don't dereference pointers when there is no features
• Fixed empty tree processing in feature strength calculation
• Fixed missing loss graph points in select_features, #1775
• Sort csr matrix indices, fixes #1749
• Fix error "active CatBoost worker is already present in the current process" after previous training interruption or failure. #1795.
• Fixed erroneous warnings from models validation after training with custom loss or custom error function. Fixes #873 Fixes #1169