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NEWS

• 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).

• Add plot for LearnerSurvCoxPH.

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

• Work with new paradox version 1.0.0

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

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

• 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.

• 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.

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

• Plots for survival objects moved to mlr3proba.

• Compatibility fixes.

• Compatibility fix for testthat.

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

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

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

• New autoplot for LearnerClustHclust.

• 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).

• Fix test on solaris.

• 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).

• 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.

• Compatibility with mlr3 >= 0.6.0.

• 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)

• 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.

• Initial CRAN release

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