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(<OptimInstanceSingleCrit>): Plot for OptimInstanceSingleCrit

autoplot(<PredictionClassif>): Plot for PredictionClassif

autoplot(<PredictionClust>): Plot for PredictionClust

autoplot(<PredictionRegr>): Plot for PredictionRegr

autoplot(<ResampleResult>): Plot for ResampleResult

autoplot(<TaskClassif>): Plot for Classification Tasks

autoplot(<TaskClust>): Plot for Clustering Tasks

autoplot(<TaskRegr>): Plot for Regression 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.

theme_mlr3(): mlr-org ggplot2 theme