mlr3mbo
mlr3mbo picked its defaults from a benchmark study, not from taste
Comparison · Analytics
censored vs desirability2
A side-by-side editorial comparison of censored and desirability2 — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:tidymodels
censored vs desirability2: at a glance
What is censored?
censored keeps survival models aligned with parsnip's shifting prediction contracts
censored supplies survival-analysis engines to parsnip, and its release history is dominated by staying in step with the rest of tidymodels rather than shipping independent features. The 0.2.0 and 0.3.0 releases added engines and prediction types; everything since has been contract alignment — quantile prediction format, hardhat test adaptation, flexsurv preparation.
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.
censored vs desirability2: editorial side-by-side
censored
0.0ANALYTICS
censored keeps survival models aligned with parsnip's shifting prediction contracts
◆ Current state
censored supplies survival-analysis engines to parsnip, and its release history is dominated by staying in step with the rest of tidymodels rather than shipping independent features. The 0.2.0 and 0.3.0 releases added engines and prediction types; everything since has been contract alignment — quantile prediction format, hardhat test adaptation, flexsurv preparation.
◆ Where it's heading
The package is settling into a downstream role where parsnip and hardhat set the interface and censored implements it for censored regression. Breaking changes arrive from upstream, not from new ideas here. The substantive engine work — aorsf, flexsurvspline, glmnet multi_predict — is behind it, and recent cycles are thin.
◆ Prediction
Expect the next releases to track further parsnip prediction-type changes rather than add engines; the entries do not show new survival methods in progress.
desirability2
0.0ANALYTICS
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.
Alternatives to censored and desirability2
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 censored or desirability2.
loo
loo keeps rewriting the diagnostics Bayesian modellers read off model comparison
mlr3fselect
mlr3fselect turned feature selection into an asynchronous, distributable job
lime
lime survives on compatibility patches years after its research moment
mlr3measures
mlr3measures is systematically retrofitting sample weights across every metric
mlr3cluster
mlr3cluster went from a handful of clusterers to covering the field
See all censored alternatives → · See all desirability2 alternatives →
Recent activity from censored and desirability2
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 4mo agocensoredcensored 0.3.4
- 11mo agodesirability2make_desirability_cols() exported; data-driven limits on by default
- 1y agodesirability2Desirability-based model selection added for tune ⚡
- 1y agocensoredQuantile prediction format follows new parsnip requirements
- 2y agocensoredSurvival probabilities at infinite evaluation times now computed
- 2y agocensoredcensored 0.3.1
- 2y agocensoredmulti_predict() for all glmnet prediction types; aorsf predicts time
- 3y agodesirability2NEWS.md added to track package changes
- 3y agocensoredeval_time replaces time; matrix fitting for censored regression
Frequently asked questions
What is the difference between censored and desirability2?
Both compete on the same themes — tidymodels — within Analytics. censored and desirability2 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 censored better than desirability2?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. censored and desirability2 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 censored?
Top censored alternatives in Analytics are ranked by recent ship velocity. Browse the "censored alternatives" section above for the current picks, or visit /alternatives/censored for the full list with editorial commentary on each.
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.