Changelog

Source: NEWS.md

mlr3viz 0.5.3.9000 Unreleased

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

mlr3viz 0.5.3 2021-03-15

• New autoplot for LearnerClustHclust.

mlr3viz 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).

mlr3viz 0.5.1 2021-01-27

• Fix test on solaris.

mlr3viz 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).

mlr3viz 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.

mlr3viz 0.3.0 2020-09-25

• Compatibility with mlr3 >= 0.6.0.

mlr3viz 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)

mlr3viz 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.

mlr3viz 0.1.0 2020-01-08

• Initial CRAN release