# mlr3viz 0.11.0

* 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`.

# mlr3viz 0.10.1

* 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 `autoplot`s 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

* Add plot for `LearnerSurvCoxPH`.

# mlr3viz 0.9.0

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

# mlr3viz 0.8.0

* Work with new paradox version 1.0.0

# mlr3viz 0.7.0

* Add `"prediction"` plots for classification and regression learners.

# mlr3viz 0.6.2

* Fix snapshots for bbotk 0.7.3.
* Add `"incumbent"` plot for `OptimInstanceSingleCrit`.

# mlr3viz 0.6.1

* 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

* 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

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

# mlr3viz 0.5.9

* Plots for survival objects moved to mlr3proba.

# mlr3viz 0.5.8

* Compatibility fixes.

# mlr3viz 0.5.7

* Compatibility fix for testthat.

# mlr3viz 0.5.6

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


# mlr3viz 0.5.5

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

# mlr3viz 0.5.4

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

# mlr3viz 0.5.3

* New autoplot for `LearnerClustHclust`.

# mlr3viz 0.5.2

* 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

* Fix test on solaris.


# mlr3viz 0.5.0

* 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

* 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

* Compatibility with `mlr3` >= 0.6.0.


# mlr3viz 0.2.0

* 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

* 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

* Initial CRAN release
