mlr

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- [ ] Resolve all tasks in `cran-comments.md` - [ ] Run `fledge::release()` - [ ] When the package is accepted on CRAN, run `fledge::post_release()`

pat-s

updates: - [github.com/lorenzwalthert/precommit: v0.3.2.9003 → v0.4.2](https://github.com/lorenzwalthert/precommit/compare/v0.3.2.9003...v0.4.2) - [github.com/pre-commit/pre-commit-hooks: v4.3.0 → v4.6.0](https://github.com/pre-commit/pre-commit-hooks/compare/v4.3.0...v4.6.0)

pre-commit-ci[bot]

Hi, my code is as below, to select the best set of features. but every time I run the code, the result was different. As you see, I have set...

DrZhaoJie

MichaelChirico

Fix: tuneThreshold - Minimization for measures needing maximization

1

When using `tuneThreshold` to get the best threshold for a measure that needs maximization it does not work, but provides the minima (worst threshold) and returns it with the wrong...

jokokojote

Fix typo in comment in OverUndersamplingWrapper

1

Just a typo.

jokokojote

‘’surv.randomForestSRC” learner not found

1

Thank you for your great R package "mlr". I am interested in calculate survival probability for my clinical data. I want to use surv.randomForestSRC in "mlr" package for this.But I...

woshisishen

mb706