Man pages for mllg/mlr3
Machine Learning in R - Next Generation
| as_benchmark_result | Convert to BenchmarkResult |
| as_data_backend | Create a Data Backend |
| as.data.table | Re-export of 'as.data.table' See data.table::as.data.table. |
| benchmark | Benchmark Multiple Learners on Multiple Tasks |
| benchmark_grid | Generate a Benchmark Grid Design |
| BenchmarkResult | Container for Results of 'benchmark()' |
| confusion_measures | Calculate Confusion Measures |
| DataBackend | DataBackend |
| DataBackendDataTable | DataBackend for data.table |
| DataBackendMatrix | DataBackend for Matrix |
| default_measures | Get a Default Measure |
| Learner | Learner Class |
| LearnerClassif | Classification Learner |
| LearnerClassifDebug | Classification Learner for Debugging |
| LearnerClassifFeatureless | Featureless Classification Learner |
| LearnerClassifRpart | Classification Tree Learner |
| LearnerRegr | Regression Learner |
| LearnerRegrFeatureless | Featureless Regression Learner |
| LearnerRegrRpart | Regression Tree Learner |
| Measure | Measure Class |
| MeasureClassif | Classification Measure |
| MeasureClassifACC | Accuracy Classification Measure |
| MeasureClassifAUC | Area Under the Curve Classification Measure |
| MeasureClassifCE | Classification Error Measure |
| MeasureClassifConfusion | Binary Classification Measures Derived from a Confusion... |
| MeasureClassifCosts | Cost-sensitive Classification Measure |
| MeasureClassifFScore | F-score Classification Measure |
| MeasureDebug | Debug Measure |
| MeasureElapsedTime | Elapsed Time Measure |
| MeasureOOBError | Out-of-bag Error Measure |
| MeasureRegr | Regression Measure |
| MeasureRegrMAE | Absolute Errors Regression Measure |
| MeasureRegrMSE | Mean Squared Error Regression Measure |
| MeasureRegrRMSE | Root Mean Squared Error Regression Measure |
| MeasureSelectedFeatures | Selected Features Measure |
| mlr3-package | mlr3: Machine Learning in R - Next Generation |
| mlr_assertions | Assertion for mlr3 Objects |
| mlr_coercions | Object Coercion |
| mlr_learners | Dictionary of Learners |
| mlr_measures | Dictionary of Performance Measures |
| mlr_reflections | Reflections for mlr3 |
| mlr_resamplings | Dictionary of Resampling Strategies |
| mlr_sugar | Syntactic Sugar for Object Construction |
| mlr_task_generators | Dictionary of Task Generators |
| mlr_tasks | Dictionary of Tasks |
| mlr_tasks_boston_housing | Boston Housing Regression Task |
| mlr_tasks_german_credit | German Credit Classification Task |
| mlr_tasks_iris | Iris Classification Task |
| mlr_tasks_mtcars | "Motor Trend" Car Road Tests Task |
| mlr_tasks_pima | Pima Indian Diabetes Classification Task |
| mlr_tasks_sonar | Sonar Classification Task |
| mlr_tasks_spam | Spam Classification Task |
| mlr_tasks_wine | Wine Classification Task |
| mlr_tasks_zoo | Zoo Classification Task |
| Prediction | Abstract Prediction Object |
| PredictionClassif | Prediction Object for Classification |
| PredictionRegr | Prediction Object for Regression |
| resample | Resample a Learner on a Task |
| ResampleResult | Container for Results of 'resample()' |
| Resampling | Resampling Class |
| ResamplingBootstrap | Bootstrap Resampling |
| ResamplingCustom | Custom Resampling |
| ResamplingCV | Cross Validation Resampling |
| ResamplingHoldout | Holdout Resampling |
| ResamplingRepeatedCV | Repeated Cross Validation Resampling |
| ResamplingSubsampling | Subsampling Resampling |
| Task | Task Class |
| TaskClassif | Classification Task |
| TaskGenerator | TaskGenerator Class |
| TaskGenerator2DNormals | 2d Normals Classification Task Generator |
| TaskGeneratorFriedman1 | Friedman1 Regression Task Generator |
| TaskGeneratorSmiley | Smiley Classification Task Generator |
| TaskGeneratorXor | XOR Classification Task Generator |
| TaskRegr | Regression Task |
| TaskSupervised | Supervised Task |
