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desirability2 vs mlr3proba

A side-by-side editorial comparison of desirability2 and mlr3proba — release velocity, themes, recent moves, and the top alternatives to consider.

desirability2 vs mlr3proba: at a glance

Featuredesirability2mlr3proba
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themestidymodels, multi-objective optimization, model selection, desirability functionsmlr3, survival-analysis, probabilistic-learning, dependency-maintenance
Last editorial update4h ago1h ago
WebsiteVisit →Visit →

What is desirability2?

desirability2 is making multi-metric model selection a first-class tidymodels step.

desirability2 implements desirability functions, which map several metrics onto a common 0-1 scale so they can be combined into a single objective. The package is young: three releases, the first of which only added a NEWS file. Its substance arrived in 0.1.0 with hooks into tidymodels' tune package.

Read the full desirability2 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 →

desirability2 vs mlr3proba: editorial side-by-side

D
desirability2
ANALYTICS
0.0

desirability2 is making multi-metric model selection a first-class tidymodels step.

◆ Current state

desirability2 implements desirability functions, which map several metrics onto a common 0-1 scale so they can be combined into a single objective. The package is young: three releases, the first of which only added a NEWS file. Its substance arrived in 0.1.0 with hooks into tidymodels' tune package.

◆ Where it's heading

The direction is integration rather than standalone use. Version 0.1.0 added select_best_desirability() and show_best_desirability() to resolve a tuning run against several metrics at once; 0.2.0 exported make_desirability_cols() so other packages can build on it and made data-driven limits the default, removing the need to state ranges by hand. Both releases move work from the user into the package.

◆ Prediction

The exported helper and the developer-facing desirability() API point to adoption by other tidymodels packages as the next step rather than new functionality here.

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 desirability2 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 desirability2 or mlr3proba.

See all desirability2 alternatives → · See all mlr3proba alternatives →

Recent activity from desirability2 and mlr3proba

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

  1. 2mo agomlr3probamlr3proba 0.8.10 registers itself in the mlr3 loaded-packages registry
  2. 4mo agomlr3probamlr3proba 0.8.9 drops LearnerDensPenalized after pendensity left CRAN
  3. 5mo agomlr3probamlr3proba 0.8.8
  4. 5mo agomlr3probamlr3proba 0.8.7
  5. 9mo agomlr3probamlr3proba 0.8.5
  6. 10mo agomlr3probamlr3proba 0.8.4 takes over the Cox proportional-hazards autoplot
  7. 11mo agodesirability2make_desirability_cols() exported; data-driven limits on by default
  8. 1y agodesirability2Desirability-based model selection added for tune
  9. 3y agodesirability2NEWS.md added to track package changes

Frequently asked questions

What is the difference between desirability2 and mlr3proba?

They serve adjacent needs but don't currently overlap on shipped themes. desirability2 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 desirability2 better than mlr3proba?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. desirability2 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 desirability2?

Top desirability2 alternatives in Analytics are ranked by recent ship velocity. Browse the "desirability2 alternatives" section above for the current picks, or visit /alternatives/desirability2 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.