NEWS

---

mlr3viz 0.11.0 (2026-02-22)

• fix: Suppress warnings about unused arguments in ggplot2::fortify() when plotting ROC/PRC curves with newer versions of ggplot2.
• refactor: plot for LearnerSurvCoxPH will be moved to [email protected].

mlr3viz 0.10.1 (2025-01-16)

• feat: Allow passing parameters to precrec::autoplot() (eg show_cb) when plotting BenchmarkResult and ResampleResult objects, using type = roc or prc.
• refactor: Wrong type in autoplots now gives hints of which ones to use.
• refactor: Update EnsembleFSResult.autoplot to use the active_measure field.
• feat: add plot for confidence intervals (mlr3inferr).

mlr3viz 0.10.0 (2024-11-07)

• Add plot for LearnerSurvCoxPH.

mlr3viz 0.9.0 (2024-07-01)

• Work with new bbotk 0.9.0 and mlr3tuning 0.21.0
• Add plots for EnsembleFSResult object.

mlr3viz 0.8.0 (2024-03-05)

• Work with new paradox version 1.0.0

mlr3viz 0.7.0 (2023-12-21)

• Add "prediction" plots for classification and regression learners.

mlr3viz 0.6.2 (2023-11-23)

• Fix snapshots for bbotk 0.7.3.
• Add "incumbent" plot for OptimInstanceSingleCrit.

mlr3viz 0.6.1 (2023-01-23)

• Add binwidth argument to histogram plots.
• The "performance" plot always connected the maximum performance values. Now the minimum values are connected when the measure is minimized.

mlr3viz 0.6.0 (2023-01-12)

• Add theme option to autoplot() functions to supply a ggplot2::theme(). The default is ggplot2::theme_minimal().
• Remove theme_mlr3().
• Unify plot layouts.
• Remove support for passing extra arguments to geom_ functions via .... This behavior was not consistent across the autoplot() functions.

mlr3viz 0.5.10 (2022-08-15)

• Improved documentation.
• Make checks run without suggested packages.

mlr3viz 0.5.9 (2022-05-25)

• Plots for survival objects moved to mlr3proba.

mlr3viz 0.5.8 (2022-04-04)

• Compatibility fixes.

mlr3viz 0.5.7 (2021-10-14)

• Compatibility fix for testthat.

mlr3viz 0.5.6 (2021-09-14)

• Compatibility fix for mlr3tuning.
• Fixed position of labels in barplot for PredictionClassif.

mlr3viz 0.5.5 (2021-08-12)

• Fixed another bug for ROC- and Precision-recall-curves (#79).

mlr3viz 0.5.4 (2021-07-01)

• Fixed a bug for ROC- and Precision-recall-curves (#72, #75).

mlr3viz 0.5.3 (2021-03-15)

• New autoplot for LearnerClustHclust.

mlr3viz 0.5.2 (2021-03-08)

• New autoplot for TuningInstanceSingleCrit from package mlr3tuning.
• Fixed bugs in autoplot function for BenchmarkResult (#63, #65).
• Fixed a bug in autoplot function for PredictionClust (#67).

mlr3viz 0.5.1 (2021-01-27)

• Fix test on solaris.

mlr3viz 0.5.0 (2020-11-02)

• New autoplot for PredictionSurv.
• New autoplots for learners from package glmnet via ggfortify.
• Fixed ROC and PRC plots for resampling "holdout" (#54).
• If possible, we now show confidence bounds for ROC and PRC plots (#55).
• Fixed a bug in autoplot function TaskDens (#57).

mlr3viz 0.4.0 (2020-10-05)

• All autoplot.*() functions now also have a generic S3 plot() sibling (#51).
• New plots for cluster tasks, learners and predictions from mlr3cluster.
• Fixed wrong labels for boxplots of BenchmarkResult.

mlr3viz 0.3.0 (2020-09-25)

• Compatibility with mlr3 >= 0.6.0.

mlr3viz 0.2.0 (2020-08-07)

• Added plots for TaskDens and TaskSurv from package mlr3proba.
• Update documentation of PredictionRegr (#23)
• autoplot.BenchmarkResult(): Support for learners with identical IDs (#19)
• Fixed a bug in plot_learner_prediction() (#47)

mlr3viz 0.1.1 (2020-02-19)

• New plot: learner prediction for objects of class ResampleResult. Additionally, the helper function plot_learner_prediction() first performs a resample() and then plots the result.
• New plot: residual plot for objects of class PredictionRegr.

mlr3viz 0.1.0 (2020-01-08)

• Initial CRAN release