Function reference • mlr3viz

All functions
`as_precrec()`	Convert to 'precrec' Format
`autoplot(<BenchmarkResult>)`	Plot for BenchmarkResult
`autoplot(<Filter>)`	Plot for Filter Scores
`autoplot(<LearnerClassifCVGlmnet>)` `autoplot(<LearnerClassifGlmnet>)` `autoplot(<LearnerRegrCVGlmnet>)` `autoplot(<LearnerRegrGlmnet>)`	Plot for LearnerClassifGlmnet / LearnerRegrGlmnet / LearnerClassifCVGlmnet / LearnerRegrCVGlmnet
`autoplot(<LearnerClassifRpart>)` `autoplot(<LearnerRegrRpart>)`	Plot for LearnerClassifRpart / LearnerRegrRpart
`autoplot(<LearnerClustHierarchical>)`	Plot for Hierarchical Clustering Learners
`autoplot(<PredictionClassif>)`	Plot for PredictionClassif
`autoplot(<PredictionClust>)`	Plot for PredictionClust
`autoplot(<PredictionRegr>)`	Plot for PredictionRegr
`autoplot(<PredictionSurv>)`	Plot for PredictionSurv
`autoplot(<ResampleResult>)`	Plot for ResampleResult
`autoplot(<TaskClassif>)`	Plot for Classification Tasks
`autoplot(<TaskClust>)`	Plot for Clustering Tasks
`autoplot(<TaskDens>)`	Plot for Density Tasks
`autoplot(<TaskRegr>)`	Plot for Regression Tasks
`autoplot(<TaskSurv>)`	Plot for Survival Tasks
`autoplot(<TuningInstanceSingleCrit>)`	Plot for TuningInstanceSingleCrit
`mlr3viz-package`	mlr3viz: Visualizations for 'mlr3'
`plot_learner_prediction()`	Plot for Learner Predictions
`predict_grid()`	Generates a data.table of evenly distributed points.

Reference