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Comparison · Infra & APIs

anticlust vs midr

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

anticlust vs midr: at a glance

Featureanticlustmidr
SectorInfra & APIsInfra & APIs
Velocity score0.00.0
Sparks · 30d00
Top themesanticlustering, experimental-design, constraint-solving, optimizationexplainable-ai, surrogate-models, shapley, survival-analysis
Last editorial update1h ago1h ago
WebsiteVisit →Visit →

What is anticlust?

Anticlustering keeps absorbing constraints — must-link, cannot-link, blocks, missing data

anticlust partitions a set of items into groups that are as similar to each other as possible — assembling matched stimulus sets, balanced experimental conditions, comparable teaching groups. The current surface is one function, anticlustering(), with a growing list of things it will honour: must-link and cannot-link constraints, categorical variables as factors, NAs, blocking by a categorical level, and a choice among exact solvers and heuristics.

Read the full anticlust trajectory →

What is midr?

A black-box interpreter reaches CRAN, then learns multi-class and survival responses

midr explains black-box models by fitting an interpretable surrogate through Maximum Interpretation Decomposition — main effects plus second-order interactions, with exact Shapley values for the surrogate. Two months after its first CRAN release it can take a matrix response, which covers multi-class classification and survival models, and hold collections of fitted interpretations in midlist and midrib objects for comparison.

Read the full midr trajectory →

anticlust vs midr: editorial side-by-side

A
anticlust
INFRA · APIS
0.0

Anticlustering keeps absorbing constraints — must-link, cannot-link, blocks, missing data

◆ Current state

anticlust partitions a set of items into groups that are as similar to each other as possible — assembling matched stimulus sets, balanced experimental conditions, comparable teaching groups. The current surface is one function, anticlustering(), with a growing list of things it will honour: must-link and cannot-link constraints, categorical variables as factors, NAs, blocking by a categorical level, and a choice among exact solvers and heuristics.

◆ Where it's heading

Two years of releases have gone almost entirely into constraint handling and input tolerance rather than new objectives. The methods list grew by absorbing outside work — the three-phase search of Yang et al. contributed by an external author, a 2PML heuristic for must-link problems, a Gurobi backend for the exact formulations. Meanwhile categories_to_binary() has been rewritten twice, which is where the recent bugs have come from.

◆ Prediction

The constraint types now interact combinatorially — blocks, must-link, cannot-link, missing values and each objective — and the last two releases were both regressions in the encoding layer underneath them. Consolidating that layer is the more likely next move than another solver.

M
midr
INFRA · APIS
0.0

A black-box interpreter reaches CRAN, then learns multi-class and survival responses

◆ Current state

midr explains black-box models by fitting an interpretable surrogate through Maximum Interpretation Decomposition — main effects plus second-order interactions, with exact Shapley values for the surrogate. Two months after its first CRAN release it can take a matrix response, which covers multi-class classification and survival models, and hold collections of fitted interpretations in midlist and midrib objects for comparison.

◆ Where it's heading

The releases move outward along two axes at once: what can be interpreted, and how much of it fits in memory. Version 0.5.3 rebuilt the fitting path to avoid materialising large design matrices and added a save.memory option; 0.6.0 widened the response from a vector to a matrix and added parametric link functions. Class and argument names were shortened in the same release, so the package is still willing to break itself this early.

◆ Prediction

With multiple models now held in one object and visualisation methods for them, comparison across models is the surface most likely to fill out next — the collection classes exist but the notes describe manipulation and plotting rather than any comparison metric.

Alternatives to anticlust and midr

Other Infra & APIs 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 anticlust or midr.

See all anticlust alternatives → · See all midr alternatives →

Recent activity from anticlust and midr

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

  1. 4mo agoanticlustOne-hot encoding regression from 0.8.13 reverted
  2. 5mo agomidrMatrix responses bring multi-class and survival models in scope
  3. 7mo agomidrFirst CRAN release: MID surrogate models for black-box explanation
  4. 7mo agomidrMemory-efficient fitting for large design matrices
  5. 8mo agoanticlustblocks argument applies anticlustering level by level
  6. 9mo agoanticlustMissing values, factor columns, and the three-phase search
  7. 1y agoanticlustEdge cases in the previous release's cannot-link handling
  8. 1y agoanticlustVector cannot-link constraints skip the solver entirely
  9. 1y agoanticlustUncaught test error flagged by CRAN additional checks

Frequently asked questions

What is the difference between anticlust and midr?

They serve adjacent needs but don't currently overlap on shipped themes. anticlust and midr 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 anticlust better than midr?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. anticlust and midr 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 Infra & APIs products to evaluate alongside.

What are the best alternatives to anticlust?

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

What are the best alternatives to midr?

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