github catboost/catboost v0.17

New features:

  • Sparse data support
  • We've implemented and set to default boost_from_average in RMSE mode. It gives a boost in quality especially for a small number of iterations.


  • Quantile regression on CPU
  • default parameters for Poisson regression


  • A number of speedups for training on CPU
  • Huge speedups for loading datasets with categorical features represented as pandas.Categorical.
    Hint: use pandas.Categorical instead of object to speed up loading up to 200x.
latest releases: v1.0.0, v0.26.1, v0.26...
2 years ago