feat: Allow passing parameters to precrec::autoplot()(eg show_cb) when plotting BenchmarkResult andResampleResult 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 theactive_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 forOptimInstanceSingleCrit.
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 isggplot2::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 forPredictionClassif.
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 packagemlr3tuning.
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 viaggfortify.
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 S3plot() sibling (#51).
New plots for cluster tasks, learners and predictions frommlr3cluster.
Fixed wrong labels for boxplots ofBenchmarkResult.
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 classResampleResult. Additionally, the helper functionplot_learner_prediction() first performs aresample() and then plots the result.
New plot: residual plot for objects of classPredictionRegr.