1.0.4

New features

• Add sort param to FilteredDCG metric.
• Add StochasticRank for FilteredDCG.

Python package

• add is_max/minimizable methods. #1915
• Support custom metric in select_features #1920

R package

• Register functions from libcatboostr natively in R, removing one of CRAN notes.

Bugfixes

• Fix apply for models without main loss_function.
• Fix text calcer options specification. #1916
• Fix calc_feature_statistics
• Fix Multi-approx support in CLI calc_metrics mode.
• Fix processing for text options. #1930
• Fix snapshot saving in feature selection.
• Fix CatBoost models serialization inside pipeline models in PySpark. #1936