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mlr3mbo vs modeldata

A side-by-side editorial comparison of mlr3mbo and modeldata — release velocity, themes, recent moves, and the top alternatives to consider.

mlr3mbo vs modeldata: at a glance

Featuremlr3mbomodeldata
SectorAnalyticsAnalytics
Velocity score2.50.0
Sparks · 30d00
Top themesbayesian-optimization, mlr3, hyperparameter-tuning, r-statstidymodels, example-data, simulation, teaching-data
Last editorial update3h ago1h ago
WebsiteVisit →Visit →

What is mlr3mbo?

mlr3mbo picked its defaults from a benchmark study, not from taste

mlr3mbo does model-based and Bayesian optimisation for mlr3. Its 1.0.0 release added a dictionary of pre-built acquisition-function optimisers and, more consequentially, replaced the default surrogate, acquisition function and optimiser settings with values derived from a large-scale benchmark study. The releases since are corrections to the acquisition-optimiser path exposed by that new default configuration.

Read the full mlr3mbo trajectory →

What is modeldata?

The tidymodels example-data package grows one dataset at a time, on nobody's schedule

modeldata exists to supply the datasets and simulation functions that tidymodels documentation, tests, and teaching material depend on. Releases arrive roughly once or twice a year and consist almost entirely of new data sets plus occasional simulation methods. The most recent work adds a Worley (1987) regression simulation and moves the package off the magrittr pipe onto base R's.

Read the full modeldata trajectory →

mlr3mbo vs modeldata: editorial side-by-side

M
mlr3mbo
ANALYTICS
2.5

mlr3mbo picked its defaults from a benchmark study, not from taste

◆ Current state

mlr3mbo does model-based and Bayesian optimisation for mlr3. Its 1.0.0 release added a dictionary of pre-built acquisition-function optimisers and, more consequentially, replaced the default surrogate, acquisition function and optimiser settings with values derived from a large-scale benchmark study. The releases since are corrections to the acquisition-optimiser path exposed by that new default configuration.

◆ Where it's heading

The package has moved from a toolkit that expected users to assemble a Bayesian optimisation loop into one with a defensible default loop, and the recent fixes — warm-start sizing on multi-objective archives, silently discarded terminators, stale x_domain values — are the consequences of more people running the default path.

◆ Prediction

Expect continued hardening of the acquisition-optimiser classes rather than new acquisition functions.

M
modeldata
ANALYTICS
0.0

The tidymodels example-data package grows one dataset at a time, on nobody's schedule

◆ Current state

modeldata exists to supply the datasets and simulation functions that tidymodels documentation, tests, and teaching material depend on. Releases arrive roughly once or twice a year and consist almost entirely of new data sets plus occasional simulation methods. The most recent work adds a Worley (1987) regression simulation and moves the package off the magrittr pipe onto base R's.

◆ Where it's heading

Two lines run through the history: broadening coverage of task types — ordinal classification, multinomial, regression, QSAR-style chemistry data — and building out synthetic simulation so tutorials can demonstrate a method without shipping a real dataset for it. The simulation side has grown from a single regression generator into a family with logistic and multinomial variants and a keep_truth option that exposes the error-free outcome. Infrastructure changes appear only when the wider tidyverse moves, as the base-pipe transition shows.

◆ Prediction

The pattern points to another simulation method or a dataset filling a task type the collection still lacks, rather than any change in what the package does.

Alternatives to mlr3mbo and modeldata

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 mlr3mbo or modeldata.

See all mlr3mbo alternatives → · See all modeldata alternatives →

Recent activity from mlr3mbo and modeldata

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

  1. 23d agomlr3mboAcquisition optimiser fixes for warm starts and archives
  2. 3mo agomlr3mboDictionary lookup and restart-limit fixes
  3. 4mo agomlr3mborush 1.0.0 compatibility and Surrogate$check()
  4. 5mo agomlr3mbomlr3mbo 1.0.0 ships benchmark-derived default settings
  5. 10mo agomlr3mbomlr3learners 0.13.0 compatibility
  6. 11mo agomodeldatamodeldata 1.5.1 fixes documentation and column-name typos
  7. 11mo agomlr3mboMaintainer change and mlr3pipelines 0.9.0 upkeep
  8. 1y agomodeldatamodeldata 1.5.0 adds a Worley (1987) regression simulation
  9. 2y agomodeldatamodeldata 1.4.0 adds the cat_adoption data set
  10. 2y agomodeldatamodeldata 1.3.0 adds the deliveries data set
  11. 3y agomodeldatamodeldata 1.2.0 adds eight data sets across regression and classification
  12. 3y agomodeldatamodeldata 1.1.0 adds logistic and multinomial simulation plus keep_truth

Frequently asked questions

What is the difference between mlr3mbo and modeldata?

They serve adjacent needs but don't currently overlap on shipped themes. mlr3mbo is currently shipping more aggressively (velocity 2.5 vs 0.0), with 0 editorial sparks in the last 30 days against 0. See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.

Is mlr3mbo better than modeldata?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. mlr3mbo is currently shipping more aggressively (velocity 2.5 vs 0.0), with 0 editorial sparks in the last 30 days against 0. For your specific use case, the alternatives sections above list other Analytics products to evaluate alongside.

What are the best alternatives to mlr3mbo?

Top mlr3mbo alternatives in Analytics are ranked by recent ship velocity. Browse the "mlr3mbo alternatives" section above for the current picks, or visit /alternatives/mlr3mbo for the full list with editorial commentary on each.

What are the best alternatives to modeldata?

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