Building Blocks |
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Task Class |
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Learner Class |
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Measure Class |
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Resampling Class |
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Abstract Prediction Object |
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Data Backends |
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DataBackend |
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DataBackend for data.table |
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DataBackend for Matrix |
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Create a Data Backend |
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Classification |
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Classification Task |
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Convert to a Classification Task |
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Classification Learner |
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Classification Measure |
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Prediction Object for Classification |
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Regression |
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Regression Task |
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Convert to a Regression Task |
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Regression Learner |
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Regression Measure |
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Prediction Object for Regression |
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Tasks |
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Dictionary of Tasks |
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Boston Housing Regression Task |
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Wisconsin Breast Cancer Classification Task |
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German Credit Classification Task |
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Iris Classification Task |
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Motor Trend Regression Task |
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Palmer Penguins Data Set |
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Pima Indian Diabetes Classification Task |
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Sonar Classification Task |
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Spam Classification Task |
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Wine Classification Task |
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Zoo Classification Task |
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Convert to a Task |
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Convert a Task from One Type to Another |
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Task Generators |
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TaskGenerator Class |
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Dictionary of Task Generators |
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2D Normals Classification Task Generator |
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Cassini Classification Task Generator |
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Circle Classification Task Generator |
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Friedman1 Regression Task Generator |
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Moons Classification Task Generator |
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Simplex Classification Task Generator |
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Smiley Classification Task Generator |
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Spiral Classification Task Generator |
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XOR Classification Task Generator |
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Learners |
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Dictionary of Learners |
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Classification Learner for Debugging |
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Featureless Classification Learner |
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Classification Tree Learner |
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Featureless Regression Learner |
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Regression Tree Learner |
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Convert to a Learner |
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Measures |
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Dictionary of Performance Measures |
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Classification Accuracy |
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Area Under the ROC Curve |
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Balanced Accuracy |
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Binary Brier Score |
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Classification Error |
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Cost-sensitive Classification Measure |
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Diagnostic Odds Ratio |
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F-beta Score |
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False Discovery Rate |
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False Negatives |
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False Negative Rate |
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False Omission Rate |
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False Positives |
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False Positive Rate |
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Log Loss |
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Multiclass Brier Score |
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Matthews Correlation Coefficient |
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Negative Predictive Value |
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Positive Predictive Value |
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Area Under the Precision-Recall Curve |
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Positive Predictive Value |
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True Positive Rate |
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True Positive Rate |
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True Negative Rate |
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True Negatives |
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True Negative Rate |
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True Positives |
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True Positive Rate |
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Debug Measure |
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Elapsed Time Measure |
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Out-of-bag Error Measure |
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Bias |
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Kendall's tau |
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Mean Absolute Errors |
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Mean Absolute Percent Error |
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Max Absolute Error |
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Median Absolute Errors |
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Median Squared Error |
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Mean Squared Error |
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Mean Squared Log Error |
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Percent Bias |
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Relative Absolute Error |
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Root Mean Squared Error |
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Root Mean Squared Log Error |
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Root Relative Squared Error |
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Relative Squared Error |
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R Squared |
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Sum of Absolute Errors |
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Symmetric Mean Absolute Percent Error |
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Spearman's rho |
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Sum of Squared Errors |
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Selected Features Measure |
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Get a Default Measure |
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Convert to a Measure |
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Resampling Strategies |
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Dictionary of Resampling Strategies |
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Bootstrap Resampling |
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Custom Resampling |
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Cross-Validation Resampling |
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Holdout Resampling |
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Insample Resampling |
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Leave-One-Out Cross-Validation |
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Repeated Cross-Validation Resampling |
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Subsampling Resampling |
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Convert to a Resampling |
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Resample |
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Resample a Learner on a Task |
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Container for Results of |
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Convert to ResultData |
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Convert to ResampleResult |
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Benchmarking |
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Benchmark Multiple Learners on Multiple Tasks |
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Generate a Benchmark Grid Design |
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Container for Benchmarking Results |
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Convert to ResultData |
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Convert to BenchmarkResult |
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Internal Objects and Functions |
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ResultData |
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Convert to PredictionData |
Converters |
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Convert to BenchmarkResult |
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Create a Data Backend |
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Convert to a Learner |
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Convert to a Measure |
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Convert to a Prediction |
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Convert to a Classification Prediction |
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PredictionData |
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Convert to a Regression Prediction |
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Convert to ResampleResult |
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Convert to a Resampling |
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Convert to ResultData |
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Convert to a Task |
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Convert to a Classification Task |
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Convert to a Regression Task |
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Extending mlr3 |
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Assertion for mlr3 Objects |
Reflections for mlr3 |
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Syntactic Sugar for Object Construction |
Predict Method for Learners |