Package index • mlr3viz

All functions

as_precrec(): Convert to 'precrec' Format

autoplot(<BenchmarkResult>): Plots for Benchmark Results

autoplot(<EnsembleFSResult>): Plots for Ensemble Feature Selection Results

autoplot(<Filter>): Plots for Filter Scores

autoplot(<LearnerClassif>): Plot for Classification Learners

autoplot(<LearnerClassifCVGlmnet>) autoplot(<LearnerClassifGlmnet>) autoplot(<LearnerRegrCVGlmnet>) autoplot(<LearnerRegrGlmnet>): Plots for GLMNet Learners

autoplot(<LearnerClassifRpart>) autoplot(<LearnerRegrRpart>): Plots for Rpart Learners

autoplot(<LearnerClustHierarchical>): Plots for Hierarchical Clustering Learners

autoplot(<LearnerRegr>): Plot for Regression Learners

autoplot(<LearnerSurvCoxPH>): Plots for Cox Proportional Hazards Learner

autoplot(<OptimInstanceBatchSingleCrit>): Plots for Optimization Instances

autoplot(<PredictionClassif>): Plots for Classification Predictions

autoplot(<PredictionClust>): Plots for Cluster Predictions

autoplot(<PredictionRegr>): Plots for Regression Predictions

autoplot(<ResampleResult>): Plots for Resample Results

autoplot(<TaskClassif>): Plots for Classification Tasks

autoplot(<TaskClust>): Plots for Clustering Tasks

autoplot(<TaskRegr>): Plots for Regression Tasks

autoplot(<TuningInstanceBatchSingleCrit>): Plots for Tuning Instances

mlr3viz mlr3viz-package: mlr3viz: Visualizations for 'mlr3'

plot_learner_prediction(): Plots for Learner Predictions

predict_grid(): Generates a data.table of evenly distributed points.