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Comparison · Analytics
dials vs mlr3fselect
A side-by-side editorial comparison of dials and mlr3fselect — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:r-stats
dials vs mlr3fselect: at a glance
What is dials?
dials is quietly registering the tuning parameters for tidymodels' deep-learning push
dials defines the parameter objects and grid constructors that tidymodels tunes over, which makes its release notes a reliable early read on what the rest of the stack is about to support. The last two releases are dominated by attention-model parameters — SAINT and tabular deep learning via brulee, TabPFN via parsnip's tab_pfn() — alongside catboost parameters for bonsai and calibration parameters for tailor.
What is mlr3fselect?
mlr3fselect turned feature selection into an asynchronous, distributable job
mlr3fselect runs feature selection for mlr3. The defining change in this window is 1.4.0, which introduced FSelectorAsync and the asynchronous instance classes, letting searches run without a synchronous batch loop. Around it sit ensemble feature selection work — fastVoteR ranking, embedded ensemble selection, result combination — and performance work on objective evaluation.
dials vs mlr3fselect: editorial side-by-side
dials
0.0ANALYTICS
dials is quietly registering the tuning parameters for tidymodels' deep-learning push
◆ Current state
dials defines the parameter objects and grid constructors that tidymodels tunes over, which makes its release notes a reliable early read on what the rest of the stack is about to support. The last two releases are dominated by attention-model parameters — SAINT and tabular deep learning via brulee, TabPFN via parsnip's tab_pfn() — alongside catboost parameters for bonsai and calibration parameters for tailor.
◆ Where it's heading
The grid machinery itself is settled: grid_space_filling() consolidated the older designs, and the grid_*() functions now error rather than warn on the wrong size argument. What keeps moving is the parameter catalog, and it is moving toward neural and foundation-model territory that tidymodels historically left alone. Error-message quality is a steady secondary theme.
◆ Prediction
Expect further parameter objects to land ahead of the parsnip and brulee releases that use them — the attention and tabular-foundation-model work in flight is the clearest thing the entries point to.
mlr3fselect
0.0ANALYTICS
mlr3fselect turned feature selection into an asynchronous, distributable job
◆ Current state
mlr3fselect runs feature selection for mlr3. The defining change in this window is 1.4.0, which introduced FSelectorAsync and the asynchronous instance classes, letting searches run without a synchronous batch loop. Around it sit ensemble feature selection work — fastVoteR ranking, embedded ensemble selection, result combination — and performance work on objective evaluation.
◆ Where it's heading
Two threads run in parallel: scaling the search itself through async execution and the rush backend, and making ensemble selection results easier to analyse via Pareto fronts, knee points and now removal of empty result rows. The rush backward-compatibility shim was dropped in 1.6.0, so the async path is now the assumed one.
◆ Prediction
Expect the ensemble result API to keep gaining analysis helpers, with async execution treated as the default rather than an option.
Alternatives to dials and mlr3fselect
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 dials or mlr3fselect.
textrecipes
Text features finally stay sparse all the way to the model.
probably
The package that made calibration a step instead of an afterthought.
workflowsets
workflowsets keeps widening what counts as a model worth comparing.
workflows
The tidymodels pipeline grew a third stage, and it happens after the model runs.
vetiver
Posit's MLOps package went quiet for two years, then came back to keep up with recipes.
See all dials alternatives → · See all mlr3fselect alternatives →
Recent activity from dials and mlr3fselect
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 1mo agodialsAttention and tabular deep-learning parameters for brulee models
- 2mo agomlr3fselectEmpty-selection rows removable from ensemble results
- 4mo agodialsParameters for ordinal_reg() and the tab_pfn() foundation model
- 8mo agomlr3fselectFaster objective evaluation and always_included roles
- 11mo agodialsprop_terms() for supervised feature selection recipes
- 1y agomlr3fselectAsynchronous feature selection arrives with FSelectorAsync ⚡
- 1y agodialsCalibration method parameters for classification and regression
- 1y agodialsPostprocessing parameters added; grid size mismatches now error
- 1y agomlr3fselectEmbedded ensemble selection and result combination
- 1y agomlr3fselectInternal tuning callback added
- 1y agomlr3fselectmlr3 0.21.0 compatibility and archive slimming
- 2y agodialsgrid_space_filling() consolidates the space-filling designs
Frequently asked questions
What is the difference between dials and mlr3fselect?
Both compete on the same themes — r-stats — within Analytics. dials and mlr3fselect 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 dials better than mlr3fselect?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. dials and mlr3fselect 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 dials?
Top dials alternatives in Analytics are ranked by recent ship velocity. Browse the "dials alternatives" section above for the current picks, or visit /alternatives/dials for the full list with editorial commentary on each.
What are the best alternatives to mlr3fselect?
Top mlr3fselect alternatives in Analytics are ranked by recent ship velocity. Browse the "mlr3fselect alternatives" section above for the current picks, or visit /alternatives/mlr3fselect for the full list with editorial commentary on each.