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0.2.3

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@achoum achoum released this 27 Jan 19:24
· 875 commits to main since this release

Features

  • Honest Random Forests (also work with Gradient Boosted Tree and CART).
  • Can train Random Forests with example sampling without replacement.
  • Add support for Focal Loss in Gradient Boosted Tree learner.

Fixes

  • Incorrect default evaluation of categorical split with uplift tasks. This
    was making uplift models with missing categorical values perform worst, and
    made the inference of uplift model possibly slower.