Function reference
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as_precrec()
- Convert to 'precrec' Format
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autoplot(<BenchmarkResult>)
- Plot for BenchmarkResult
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autoplot(<Filter>)
- Plot for Filter Scores
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autoplot(<LearnerClassifCVGlmnet>)
autoplot(<LearnerClassifGlmnet>)
autoplot(<LearnerRegrCVGlmnet>)
autoplot(<LearnerRegrGlmnet>)
- Plot for LearnerClassifGlmnet / LearnerRegrGlmnet / LearnerClassifCVGlmnet / LearnerRegrCVGlmnet
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autoplot(<LearnerClassifRpart>)
autoplot(<LearnerRegrRpart>)
- Plot for LearnerClassifRpart / LearnerRegrRpart
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autoplot(<LearnerClustHierarchical>)
- Plot for Hierarchical Clustering Learners
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autoplot(<OptimInstanceSingleCrit>)
- Plot for OptimInstanceSingleCrit
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autoplot(<PredictionClassif>)
- Plot for PredictionClassif
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autoplot(<PredictionClust>)
- Plot for PredictionClust
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autoplot(<PredictionRegr>)
- Plot for PredictionRegr
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autoplot(<PredictionSurv>)
- Plot for PredictionSurv
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autoplot(<ResampleResult>)
- Plot for ResampleResult
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autoplot(<TaskClassif>)
- Plot for Classification Tasks
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autoplot(<TaskClust>)
- Plot for Clustering Tasks
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autoplot(<TaskDens>)
- Plot for Density Tasks
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autoplot(<TaskRegr>)
- Plot for Regression Tasks
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autoplot(<TaskSurv>)
- Plot for Survival Tasks
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autoplot(<TuningInstanceSingleCrit>)
- Plot for TuningInstanceSingleCrit
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mlr3viz-package
- mlr3viz: Visualizations for 'mlr3'
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plot_learner_prediction()
- Plot for Learner Predictions
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predict_grid()
- Generates a data.table of evenly distributed points.
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theme_mlr3()
- mlr-org ggplot2 theme