Speedup
- Now CatBoost uses non-owning Numpy arrays for passing c++ data to user-defined metric and loss functions in Python. This opens lot's of speedup probabilities: using those vectors in numba.jitted code, in cython code or just using numpy vector functions. Thanks @micyril!
Bugfixes
- Fix #1620 - retrieval of R pointers by @david-cortes
- Fix
EvalMetricsResult.get_metric()by @Roffild - Fix multiclass AUC calculation #1615