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loo vs mlr3measures

A side-by-side editorial comparison of loo and mlr3measures — release velocity, themes, recent moves, and the top alternatives to consider.

Shared themes:r-stats

loo vs mlr3measures: at a glance

Featureloomlr3measures
SectorAnalyticsAnalytics
Velocity score2.50.0
Sparks · 30d00
Top themesbayesian, cross-validation, stan, r-statsmetrics, mlr3, machine-learning, r-stats
Last editorial update1h ago1h ago
WebsiteVisit →Visit →

What is loo?

loo keeps rewriting the diagnostics Bayesian modellers read off model comparison

loo computes leave-one-out cross-validation and model comparison for Bayesian models in the Stan ecosystem. Two releases in this window changed what users actually read: 2.7.0 replaced the fixed Pareto-k thresholds with sample-size-dependent ones and dropped the middle category, and 2.10.0 reshaped loo_compare's output into a data.frame with new uncertainty columns. The releases between are diagnostic robustness fixes and moment-matching corrections.

Read the full loo trajectory →

What is mlr3measures?

mlr3measures is systematically retrofitting sample weights across every metric

mlr3measures is the metric library behind mlr3. Recent releases follow two threads: adding measures — linex, pinball, Mu AUC, gmean, gpr, mcc — and retrofitting sample_weights support across the existing ones, reaching AUC and the confusion-matrix family in 1.3.0. Along the way 1.1.0 deprecated four regression measures and corrected the bias definitions.

Read the full mlr3measures trajectory →

loo vs mlr3measures: editorial side-by-side

L
loo
ANALYTICS
2.5

loo keeps rewriting the diagnostics Bayesian modellers read off model comparison

◆ Current state

loo computes leave-one-out cross-validation and model comparison for Bayesian models in the Stan ecosystem. Two releases in this window changed what users actually read: 2.7.0 replaced the fixed Pareto-k thresholds with sample-size-dependent ones and dropped the middle category, and 2.10.0 reshaped loo_compare's output into a data.frame with new uncertainty columns. The releases between are diagnostic robustness fixes and moment-matching corrections.

◆ Where it's heading

The package is being brought in line with the current PSIS literature rather than extended with new features, and the practical effect is that the numbers practitioners quote in papers keep changing meaning. Work is increasingly delegated to posterior for shared computations, and the project has added contributor process, benchmarks and a published AI contribution policy.

◆ Prediction

Expect further work on comparison diagnostics — the p_worse and diag_* columns are new enough that their defaults and documentation will likely be revised next.

M
mlr3measures
ANALYTICS
0.0

mlr3measures is systematically retrofitting sample weights across every metric

◆ Current state

mlr3measures is the metric library behind mlr3. Recent releases follow two threads: adding measures — linex, pinball, Mu AUC, gmean, gpr, mcc — and retrofitting sample_weights support across the existing ones, reaching AUC and the confusion-matrix family in 1.3.0. Along the way 1.1.0 deprecated four regression measures and corrected the bias definitions.

◆ Where it's heading

The library is maturing rather than growing: weighted evaluation and observation-wise loss functions are being brought to metrics that already existed, which is what downstream weighted-resampling and per-observation analysis need. The deprecations suggest the maintainers are willing to remove measures they consider ill-defined rather than keep them for compatibility.

◆ Prediction

Expect sample_weights and observation-wise variants to reach the remaining measures that lack them.

Alternatives to loo and mlr3measures

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 loo or mlr3measures.

See all loo alternatives → · See all mlr3measures alternatives →

Recent activity from loo and mlr3measures

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

  1. 20d agoloopsis_smooth_tail revert and simplify arg restored
  2. 1mo agolooloo_compare returns a data.frame with new uncertainty columns
  3. 3mo agomlr3measuresWeighted AUC and weighted confusion-matrix measures
  4. 7mo agolooStacking overflow fixes and posterior-based ESS
  5. 8mo agomlr3measuresObservation-wise loss for bbrier and logloss
  6. 11mo agomlr3measuresrse, rsq, rrse and rae deprecated; bias measures corrected
  7. 1y agomlr3measureslinex, pinball and Mu AUC measures added
  8. 2y agomlr3measuresgmean, gpr and multiclass MCC added
  9. 2y agolooMore robust Pareto-k diagnostics and moment matching
  10. 2y agolooPareto-k thresholds now depend on sample size
  11. 3y agolooLOO predictive metrics and CRPS scoring functions
  12. 4y agomlr3measuresObservation-wise loss functions introduced

Frequently asked questions

What is the difference between loo and mlr3measures?

Both compete on the same themes — r-stats — within Analytics. loo 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 loo better than mlr3measures?

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

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

What are the best alternatives to mlr3measures?

Top mlr3measures alternatives in Analytics are ranked by recent ship velocity. Browse the "mlr3measures alternatives" section above for the current picks, or visit /alternatives/mlr3measures for the full list with editorial commentary on each.