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