Changes in version 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
    mlr3proba@0.8.4.

                 Changes in version 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).

                 Changes in version 0.10.0 (2024-11-07)                 

  - Add plot for LearnerSurvCoxPH.

                 Changes in version 0.9.0 (2024-07-01)                  

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

                 Changes in version 0.8.0 (2024-03-05)                  

  - Work with new paradox version 1.0.0

                 Changes in version 0.7.0 (2023-12-21)                  

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

                 Changes in version 0.6.2 (2023-11-23)                  

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

                 Changes in version 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.

                 Changes in version 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.

                 Changes in version 0.5.10 (2022-08-15)                 

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

                 Changes in version 0.5.9 (2022-05-25)                  

  - Plots for survival objects moved to mlr3proba.

                 Changes in version 0.5.8 (2022-04-04)                  

  - Compatibility fixes.

                 Changes in version 0.5.7 (2021-10-14)                  

  - Compatibility fix for testthat.

                 Changes in version 0.5.6 (2021-09-14)                  

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

                 Changes in version 0.5.5 (2021-08-12)                  

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

                 Changes in version 0.5.4 (2021-07-01)                  

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

                 Changes in version 0.5.3 (2021-03-15)                  

  - New autoplot for LearnerClustHclust.

                 Changes in version 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).

                 Changes in version 0.5.1 (2021-01-27)                  

  - Fix test on solaris.

                 Changes in version 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).

                 Changes in version 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.

                 Changes in version 0.3.0 (2020-09-25)                  

  - Compatibility with mlr3 >= 0.6.0.

                 Changes in version 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)

                 Changes in version 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.

                 Changes in version 0.1.0 (2020-01-08)                  

  - Initial CRAN release