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mlr3extralearners 1.5.0

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@be-marc be-marc released this 03 Apr 06:18
v1.5.0
5dc6f54
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Learn about vigilant mode.

New Features

  • New Learners:
    • LearnerCompRisksCoxboost
    • LearnerRegrGPfit
    • LearnerClassifMLP
    • LearnerClassifSaeDNN
    • LearnerClassifPlsdaCaret
    • LearnerSurvDNN
    • LearnerRegrH2ORandomForest
    • LearnerRegrH2OGLM
    • LearnerClassifH2OGLM
    • LearnerClassifH2OGBM
    • LearnerClassifH2ORandomForest
    • LearnerClassifH2ODeeplearning
    • LearnerRegrH2OGBM
    • LearnerRegrH2ODeeplearning
    • LearnerClassifLvq1
    • LearnerRegrBotorchFullyBayesian
  • Added kernel and input/output transformations for LearnerRegrBotorchSingleTaskGP and LearnerRegrBotorchMixedSingleTaskGP.

Breaking Changes

  • Moved LearnerSurvAkritas and LearnerSurvParametric to the attic.
    See #549.

Other

  • Updated Extending vignette to incorporate information about skipping tests and considerations for testing Python learners
  • survdistr is now on Suggests (used for constant interpolation of the Kaplan-Meier predictions of the partykit survival learners)
  • Updated mlr3proba (0.8.8), pls and xgboost to the most recent CRAN versions
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