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dials vs mlr3proba

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

dials vs mlr3proba: at a glance

Featuredialsmlr3proba
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themestidymodels, hyperparameters, deep-learning, grid-searchmlr3, survival-analysis, probabilistic-learning, dependency-maintenance
Last editorial update6h ago1h ago
WebsiteVisit →Visit →

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.

Read the full dials 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 →

dials vs mlr3proba: editorial side-by-side

D
dials
ANALYTICS
0.0

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.

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 dials 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 dials or mlr3proba.

See all dials alternatives → · See all mlr3proba alternatives →

Recent activity from dials and mlr3proba

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

  1. 1mo agodialsAttention and tabular deep-learning parameters for brulee models
  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. 4mo agodialsParameters for ordinal_reg() and the tab_pfn() foundation model
  5. 5mo agomlr3probamlr3proba 0.8.8
  6. 5mo agomlr3probamlr3proba 0.8.7
  7. 9mo agomlr3probamlr3proba 0.8.5
  8. 10mo agomlr3probamlr3proba 0.8.4 takes over the Cox proportional-hazards autoplot
  9. 11mo agodialsprop_terms() for supervised feature selection recipes
  10. 1y agodialsCalibration method parameters for classification and regression
  11. 1y agodialsPostprocessing parameters added; grid size mismatches now error
  12. 2y agodialsgrid_space_filling() consolidates the space-filling designs

Frequently asked questions

What is the difference between dials and mlr3proba?

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

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