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mlr3learners vs mlr3proba

A side-by-side editorial comparison of mlr3learners and mlr3proba — release velocity, themes, recent moves, and the top alternatives to consider.

Shared themes:mlr3

mlr3learners vs mlr3proba: at a glance

Featuremlr3learnersmlr3proba
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesmlr3, machine-learning, r-stats, learnersmlr3, survival-analysis, probabilistic-learning, dependency-maintenance
Last editorial update3h ago1h ago
WebsiteVisit →Visit →

What is mlr3learners?

mlr3learners spends its releases absorbing upstream churn

mlr3learners wraps the standard model packages — ranger, xgboost, glmnet, kknn — for mlr3. Its recent history is dominated by upstream events rather than its own plans: kknn was pulled from CRAN and its learners removed in 0.11.0, then restored in 0.12.0 when the package returned. The newest release absorbs glmnet 5.0 while adding a predict_raw flag across all learners and probit support to logistic regression.

Read the full mlr3learners trajectory →

What is mlr3proba?

mlr3proba is shedding weight as its survival work moves into sibling packages

mlr3proba provides probabilistic supervised learning for mlr3 — survival analysis, density estimation, and the measures that go with them. Recent releases are almost entirely upkeep: a distr6 fork to work around an upstream problem, an ooplah fix, a predict-type correction, and registration in mlr_reflections$loaded_packages. The one deletion is telling, with LearnerDensPenalized removed after pendensity left CRAN.

Read the full mlr3proba trajectory →

mlr3learners vs mlr3proba: editorial side-by-side

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mlr3learners
ANALYTICS
0.0

mlr3learners spends its releases absorbing upstream churn

◆ Current state

mlr3learners wraps the standard model packages — ranger, xgboost, glmnet, kknn — for mlr3. Its recent history is dominated by upstream events rather than its own plans: kknn was pulled from CRAN and its learners removed in 0.11.0, then restored in 0.12.0 when the package returned. The newest release absorbs glmnet 5.0 while adding a predict_raw flag across all learners and probit support to logistic regression.

◆ Where it's heading

The package's job is insulation, and the changelog shows what that costs — compatibility-only releases interleaved with small capability additions that expose more of each upstream model. The direction of travel is toward giving users access to the raw upstream objects rather than hiding them.

◆ Prediction

Expect the next release to track another upstream version bump, with incremental exposure of learner-specific fields continuing alongside.

M
mlr3proba
ANALYTICS
0.0

mlr3proba is shedding weight as its survival work moves into sibling packages

◆ Current state

mlr3proba provides probabilistic supervised learning for mlr3 — survival analysis, density estimation, and the measures that go with them. Recent releases are almost entirely upkeep: a distr6 fork to work around an upstream problem, an ooplah fix, a predict-type correction, and registration in mlr_reflections$loaded_packages. The one deletion is telling, with LearnerDensPenalized removed after pendensity left CRAN.

◆ Where it's heading

The package is being pared back rather than extended. Its README now points at survdistr and mlr3cmprsk as matured alternatives for parts of what it covers, which reads as scope being handed off, while the Cox proportional-hazards autoplot arrived from mlr3viz in the other direction. Several fixes exist to route around dependencies that broke or disappeared, which is the recurring cost of building on a long chain of specialized CRAN packages.

◆ Prediction

The dependency churn suggests more consolidation — further reliance on survdistr and mlr3cmprsk, and more learners retired when the package underneath them goes unmaintained.

Alternatives to mlr3learners and mlr3proba

Other Analytics products tracked by Sparkpulse, ranked by recent ship velocity. Each card links to a full editorial trajectory and lets you pivot into a head-to-head comparison with either mlr3learners or mlr3proba.

See all mlr3learners alternatives → · See all mlr3proba alternatives →

Recent activity from mlr3learners and mlr3proba

Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.

  1. 2mo agomlr3learnerspredict_raw across all learners, plus probit and ranger internals
  2. 2mo agomlr3probamlr3proba 0.8.10 registers itself in the mlr3 loaded-packages registry
  3. 4mo agomlr3probamlr3proba 0.8.9 drops LearnerDensPenalized after pendensity left CRAN
  4. 5mo agomlr3probamlr3proba 0.8.8
  5. 5mo agomlr3probamlr3proba 0.8.7
  6. 8mo agomlr3learnersxgboost 3.1.2.1 compatibility
  7. 9mo agomlr3probamlr3proba 0.8.5
  8. 9mo agomlr3learnersUncertainty estimation methods for ranger regression
  9. 10mo agomlr3probamlr3proba 0.8.4 takes over the Cox proportional-hazards autoplot
  10. 10mo agomlr3learnersDevelopment snapshot: LDA test adjustment
  11. 1y agomlr3learnerskknn learners restored after returning to CRAN
  12. 1y agomlr3learnerskknn learners removed after CRAN archival

Frequently asked questions

What is the difference between mlr3learners and mlr3proba?

Both compete on the same themes — mlr3 — within Analytics. mlr3learners and mlr3proba are shipping at a similar cadence (velocity 0.0 vs 0.0, both within Sparkpulse's "active" band). See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.

Is mlr3learners better than mlr3proba?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. mlr3learners and mlr3proba are shipping at a similar cadence (velocity 0.0 vs 0.0, both within Sparkpulse's "active" band). For your specific use case, the alternatives sections above list other Analytics products to evaluate alongside.

What are the best alternatives to mlr3learners?

Top mlr3learners alternatives in Analytics are ranked by recent ship velocity. Browse the "mlr3learners alternatives" section above for the current picks, or visit /alternatives/mlr3learners for the full list with editorial commentary on each.

What are the best alternatives to mlr3proba?

Top mlr3proba alternatives in Analytics are ranked by recent ship velocity. Browse the "mlr3proba alternatives" section above for the current picks, or visit /alternatives/mlr3proba for the full list with editorial commentary on each.