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mlr3viz (development version)

  • 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.

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