catboost/catboost v0.17.1

on GitHub

Bugs fixed:

• Incorrect estimation of total RAM size on Windows and Mac OS, #989
• Failure when dataset is a numpy.ndarray with order='F'
• Disable boost_from_average when baseline is specified

Improvements:

• Polymorphic raw features storage (2x---25x faster data preparation for numeric features in non-float32 columns as either pandas.DataFrame or numpy.ndarray with order='F').
• Support AUC metric for CrossEntropy loss on CPU
• Added datasets.rotten_tomatoes(), a textual dataset
• Usability of monotone_constraints, #950

Speedups:

• Optimized computation of CrossEntropy metric on CPUs with SSE3