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[LRNRQ] Add oblique classification and regression forests from package aorsf #408

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bcjaeger opened this issue Feb 24, 2025 · 0 comments
Open
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Learner Status: Request For requesting a new learner

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@bcjaeger
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Algorithm

Oblique classification and regression forests

Package

aorsf

Supported types

  • classif
  • clust
  • dens
  • regr
  • surv

I have checked that this is not already implemented in

  • mlr3
  • mlr3learners
  • mlr3extralearners
  • Other core packages (e.g. mlr3proba, mlr3keras)

Why do I think this is a useful learner?

The survival learner has been useful in terms of prediction accuracy and computational efficiency, and the classification and regression learners are similar to their survival counterpart.

Further Optional Comments

I'm happy to initiate the PR for this. In terms of timeline, it may take a month or two before it's ready for formal review.

@bcjaeger bcjaeger added the Learner Status: Request For requesting a new learner label Feb 24, 2025
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Labels
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