github catboost/catboost v0.17.1

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
latest releases: v1.0.0, v0.26.1, v0.26...
2 years ago