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| mlr3-package | mlr3: Machine Learning in R - Next Generation |
| as_benchmark_result | Convert to BenchmarkResult |
| as_benchmark_result.ResampleResult | Convert to BenchmarkResult |
| as_data_backend | Create a Data Backend |
| as_data_backend.data.frame | Create a Data Backend |
| as_data_backend.Matrix | Create a Data Backend |
| as_learner | Object Coercion |
| as_learner.Learner | Object Coercion |
| as_learners | Object Coercion |
| as_learners.Learner | Object Coercion |
| as_learners.list | Object Coercion |
| as_measure | Object Coercion |
| as_measure.Measure | Object Coercion |
| as_measure.NULL | Object Coercion |
| as_measures | Object Coercion |
| as_measures.list | Object Coercion |
| as_measures.Measure | Object Coercion |
| as_measures.NULL | Object Coercion |
| as_resampling | Object Coercion |
| as_resampling.Resampling | Object Coercion |
| as_resamplings | Object Coercion |
| as_resamplings.list | Object Coercion |
| as_resamplings.Resampling | Object Coercion |
| as_task | Object Coercion |
| as_task.Task | Object Coercion |
| as_tasks | Object Coercion |
| as_tasks.list | Object Coercion |
| as_tasks.Task | Object Coercion |
| benchmark | Benchmark Multiple Learners on Multiple Tasks |
| BenchmarkResult | Container for Benchmarking Results |
| benchmark_grid | Generate a Benchmark Grid Design |
| 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 |
| lrn | Syntactic Sugar for Object Construction |
| lrns | Syntactic Sugar for Object Construction |
| Measure | Measure Class |
| MeasureClassif | Classification Measure |
| MeasureClassifCosts | Cost-sensitive Classification Measure |
| MeasureDebug | Debug Measure |
| MeasureElapsedTime | Elapsed Time Measure |
| MeasureOOBError | Out-of-bag Error Measure |
| MeasureRegr | Regression Measure |
| MeasureSelectedFeatures | Selected Features Measure |
| mlr3 | mlr3: Machine Learning in R - Next Generation |
| mlr_coercions | Object Coercion |
| mlr_learners | Dictionary of Learners |
| mlr_learners_classif.debug | Classification Learner for Debugging |
| mlr_learners_classif.featureless | Featureless Classification Learner |
| mlr_learners_classif.rpart | Classification Tree Learner |
| mlr_learners_regr.featureless | Featureless Regression Learner |
| mlr_learners_regr.rpart | Regression Tree Learner |
| mlr_measures | Dictionary of Performance Measures |
| mlr_measures_classif.acc | Classification Accuracy |
| mlr_measures_classif.auc | Area Under the ROC Curve |
| mlr_measures_classif.bacc | Balanced Accuracy |
| mlr_measures_classif.ce | Classification Error |
| mlr_measures_classif.costs | Cost-sensitive Classification Measure |
| mlr_measures_classif.dor | Diagnostic Odds Ratio |
| mlr_measures_classif.fbeta | F-beta Score |
| mlr_measures_classif.fdr | False Discovery Rate |
| mlr_measures_classif.fn | False Negatives |
| mlr_measures_classif.fnr | False Negative Rate |
| mlr_measures_classif.fomr | False Omission Rate |
| mlr_measures_classif.fp | False Positives |
| mlr_measures_classif.fpr | False Positive Rate |
| mlr_measures_classif.logloss | Log Loss |
| mlr_measures_classif.mcc | Matthews Correlation Coefficient |
| mlr_measures_classif.npv | Negative Predictive Value |
| mlr_measures_classif.ppv | Positive Predictive Value |
| mlr_measures_classif.precision | Positive Predictive Value |
| mlr_measures_classif.recall | True Positive Rate |
| mlr_measures_classif.sensitivity | True Positive Rate |
| mlr_measures_classif.specificity | True Negative Rate |
| mlr_measures_classif.tn | True Negatives |
| mlr_measures_classif.tnr | True Negative Rate |
| mlr_measures_classif.tp | True Positives |
| mlr_measures_classif.tpr | True Positive Rate |
| mlr_measures_debug | Debug Measure |
| mlr_measures_elapsed_time | Elapsed Time Measure |
| mlr_measures_oob_error | Out-of-bag Error Measure |
| mlr_measures_regr.bias | Bias |
| mlr_measures_regr.ktau | Kendall's tau |
| mlr_measures_regr.mae | Mean Absolute Errors |
| mlr_measures_regr.mape | Mean Absolute Percent Error |
| mlr_measures_regr.maxae | Max Absolute Error |
| mlr_measures_regr.medae | Median Absolute Errors |
| mlr_measures_regr.medse | Median Squared Error |
| mlr_measures_regr.mse | Mean Squared Error |
| mlr_measures_regr.msle | Mean Squared Log Error |
| mlr_measures_regr.pbias | Percent Bias |
| mlr_measures_regr.rae | Relative Absolute Error |
| mlr_measures_regr.rmse | Root Mean Squared Error |
| mlr_measures_regr.rmsle | Root Mean Squared Log Error |
| mlr_measures_regr.rrse | Root Relative Squared Error |
| mlr_measures_regr.rse | Relative Squared Error |
| mlr_measures_regr.rsq | R Squared |
| mlr_measures_regr.sae | Sum of Absolute Errors |
| mlr_measures_regr.smape | Symmetric Mean Absolute Percent Error |
| mlr_measures_regr.srho | Spearman's rho |
| mlr_measures_regr.sse | Sum of Squared Errors |
| mlr_measures_selected_features | Selected Features Measure |
| mlr_measures_time_both | Elapsed Time Measure |
| mlr_measures_time_predict | Elapsed Time Measure |
| mlr_measures_time_train | Elapsed Time Measure |
| mlr_resamplings | Dictionary of Resampling Strategies |
| mlr_resamplings_bootstrap | Bootstrap Resampling |
| mlr_resamplings_custom | Custom Resampling |
| mlr_resamplings_cv | Cross Validation Resampling |
| mlr_resamplings_holdout | Holdout Resampling |
| mlr_resamplings_repeated_cv | Repeated Cross Validation Resampling |
| mlr_resamplings_subsampling | Subsampling Resampling |
| mlr_sugar | Syntactic Sugar for Object Construction |
| 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 Regression 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 |
| mlr_task_generators | Dictionary of Task Generators |
| mlr_task_generators_2dnormals | 2D Normals Classification Task Generator |
| mlr_task_generators_friedman1 | Friedman1 Regression Task Generator |
| mlr_task_generators_smiley | Smiley Classification Task Generator |
| mlr_task_generators_xor | XOR Classification Task Generator |
| msr | Syntactic Sugar for Object Construction |
| msrs | Syntactic Sugar for Object Construction |
| predict.Learner | Predict Method for Learners |
| 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 |
| rsmp | Syntactic Sugar for Object Construction |
| rsmps | Syntactic Sugar for Object Construction |
| 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 |
| tgen | Syntactic Sugar for Object Construction |
| tgens | Syntactic Sugar for Object Construction |
| tsk | Syntactic Sugar for Object Construction |
| tsks | Syntactic Sugar for Object Construction |