mlr3proba 0.8.9

• Removed LearnerDensPenalized (in attic dir) as pendensity was removed from CRAN (14/4/2026)
• Update README with links to survdistr and mlr3cmprsk as these have matured now

mlr3proba 0.8.8

What's Changed

• fix: Use distr6 fork by @be-marc in #459

mlr3proba 0.8.7

What's Changed

• ooplah fix by @bblodfon in #458

v0.8.6

What's Changed

• compatibility: mlr3 1.3.0 by @be-marc in #454
• Bump actions/checkout from 5 to 6 by @dependabot[bot] in #453
• Bump JamesIves/github-pages-deploy-action from 4.7.4 to 4.7.6 by @dependabot[bot] in #455

Full Changelog: 0.8.5...v0.8.5

mlr3proba 0.8.5

What's Changed

• Fix predict type by @bblodfon in #452
• Bump JamesIves/github-pages-deploy-action from 4.7.3 to 4.7.4 by @dependabot[bot] in #450

Full Changelog: v0.8.4...0.8.5

mlr3proba 0.8.4

• Add autoplot for surv.coxph learner

mlr3proba 0.8.3

All density learners previously in mlr3extralearners have been moved to mlr3proba.

mlr3proba 0.8.2

What's Changed

• Add default_fallback() for survival and density learners
• Support validation task transformation in some PipeOps (PEM/DiscTime) by @bblodfon in #439
• Migrate Competing Risks code to mlr3cmprsk by @bblodfon in #444
• coxed package was removed from CRAN so now we install the latest working CRAN version (0.3.3) from GitHub
• Renamed .surv_return() to surv_return() as it is exported and used by other packages (e.g. mlr3extralearners)
• Update mlr3 at v1.2.0 and mlr3misc at v0.19.0

mlr3proba 0.8.1

• ✨ New: surv.logloss and surv.rcll now use linear interpolation of the survival function for density estimation.
• 🛠️ Fixes:
  • surv.mae, surv.mse, and surv.rmse return NA if the test set is fully censored.
  • Division-by-zero in surv.brier now correctly uses eps instead of returning Inf.
• 🔧 Refactoring:
  • Removed se and method arguments from most scores (time-weighted integration is now the default).
  • All internal/private functions now start with a dot (.) and are documented accordingly.
  • Full cleanup of internal Rcpp scoring functions.
• 💥 Removed all experimental proper scoring rule options and the remove_obs argument. Default behavior remains unchanged (proper = FALSE).
• 📚 Improved documentation across many measures.

mlr3proba 0.8.0

• Compatibility with mlr3 v1.0.0 (weights_learner) and mlr3pipelines v0.8.0
• MAJOR feat: support right-censored competing risk tasks (TaskCompRisks, LearnerCompRisks, MeasureCompRisks)
  • Implemented AUC(t) via RiskRegression package
  • Baseline Aalen-Johansen estimator via survival package
• fix: as.data.table() for PredictionSurv objects holds now one survival curve per observation as it should
• refactor: TaskSurv uses only right, left or interval censoring, simplified code a lot in the methods