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| mlr3-package | mlr3: Machine Learning in R - Next Generation |
| as_benchmark_result | Convert to BenchmarkResult |
| as_benchmark_result.BenchmarkResult | 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 | Convert to a Learner |
| as_learner.Learner | Convert to a Learner |
| as_learners | Convert to a Learner |
| as_learners.Learner | Convert to a Learner |
| as_learners.list | Convert to a Learner |
| as_measure | Convert to a Measure |
| as_measure.Measure | Convert to a Measure |
| as_measure.NULL | Convert to a Measure |
| as_measures | Convert to a Measure |
| as_measures.list | Convert to a Measure |
| as_measures.Measure | Convert to a Measure |
| as_measures.NULL | Convert to a Measure |
| as_prediction | Convert to a Prediction |
| as_prediction.Prediction | Convert to a Prediction |
| as_prediction.PredictionDataClassif | Convert to a Prediction |
| as_prediction.PredictionDataRegr | Convert to a Prediction |
| as_predictions | Convert to a Prediction |
| as_predictions.list | Convert to a Prediction |
| as_prediction_classif | Convert to a Classification Prediction |
| as_prediction_classif.data.frame | Convert to a Classification Prediction |
| as_prediction_classif.PredictionClassif | Convert to a Classification Prediction |
| as_prediction_data | PredictionData |
| as_prediction_data.list | PredictionData |
| as_prediction_data.Prediction | PredictionData |
| as_prediction_data.PredictionData | PredictionData |
| as_prediction_regr | Convert to a Regression Prediction |
| as_prediction_regr.data.frame | Convert to a Regression Prediction |
| as_prediction_regr.PredictionRegr | Convert to a Regression Prediction |
| as_resample_result | Convert to ResampleResult |
| as_resample_result.ResampleResult | Convert to ResampleResult |
| as_resampling | Convert to a Resampling |
| as_resampling.Resampling | Convert to a Resampling |
| as_resamplings | Convert to a Resampling |
| as_resamplings.list | Convert to a Resampling |
| as_resamplings.Resampling | Convert to a Resampling |
| as_result_data | Convert to ResultData |
| as_task | Convert to a Task |
| as_task.Task | Convert to a Task |
| as_tasks | Convert to a Task |
| as_tasks.list | Convert to a Task |
| as_tasks.Task | Convert to a Task |
| as_task_classif | Convert to a Classification Task |
| as_task_classif.data.frame | Convert to a Classification Task |
| as_task_classif.DataBackend | Convert to a Classification Task |
| as_task_classif.formula | Convert to a Classification Task |
| as_task_classif.TaskClassif | Convert to a Classification Task |
| as_task_classif.TaskRegr | Convert to a Classification Task |
| as_task_regr | Convert to a Regression Task |
| as_task_regr.data.frame | Convert to a Regression Task |
| as_task_regr.DataBackend | Convert to a Regression Task |
| as_task_regr.formula | Convert to a Regression Task |
| as_task_regr.TaskClassif | Convert to a Regression Task |
| as_task_regr.TaskRegr | Convert to a Regression Task |
| benchmark | Benchmark Multiple Learners on Multiple Tasks |
| BenchmarkResult | Container for Benchmarking Results |
| benchmark_grid | Generate a Benchmark Grid Design |
| c.PredictionDataClassif | Convert to PredictionData |
| c.PredictionDataRegr | Convert to PredictionData |
| check_prediction_data | Convert to PredictionData |
| check_prediction_data.PredictionDataClassif | Convert to PredictionData |
| check_prediction_data.PredictionDataRegr | Convert to PredictionData |
| convert_task | Convert a Task from One Type to Another |
| DataBackend | DataBackend |
| DataBackendDataTable | DataBackend for data.table |
| DataBackendMatrix | DataBackend for Matrix |
| default_measures | Get the Default Measure |
| extract_pkgs | Install (Missing) Packages |
| extract_pkgs.BenchmarkResult | Install (Missing) Packages |
| extract_pkgs.character | Install (Missing) Packages |
| extract_pkgs.list | Install (Missing) Packages |
| extract_pkgs.R6 | Install (Missing) Packages |
| extract_pkgs.ResampleResult | Install (Missing) Packages |
| filter_prediction_data | Convert to PredictionData |
| HotstartStack | Stack for Hot Start Learners |
| install_pkgs | Install (Missing) Packages |
| is_missing_prediction_data | Convert to PredictionData |
| is_missing_prediction_data.PredictionDataClassif | Convert to PredictionData |
| is_missing_prediction_data.PredictionDataRegr | Convert to PredictionData |
| Learner | Learner Class |
| LearnerClassif | Classification Learner |
| LearnerClassifDebug | Classification Learner for Debugging |
| LearnerClassifFeatureless | Featureless Classification Learner |
| LearnerClassifRpart | Classification Tree Learner |
| LearnerRegr | Regression Learner |
| LearnerRegrDebug | Regression Learner for Debugging |
| LearnerRegrFeatureless | Featureless Regression Learner |
| LearnerRegrRpart | Regression Tree Learner |
| lrn | Syntactic Sugar for Object Construction |
| lrns | Syntactic Sugar for Object Construction |
| Measure | Measure Class |
| MeasureAIC | Akaike Information Criterion Measure |
| MeasureBIC | Bayesian Information Criterion Measure |
| 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 |
| MeasureSimilarity | Similarity Measure |
| mlr3 | mlr3: Machine Learning in R - Next Generation |
| 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.debug | Regression Learner for Debugging |
| mlr_learners_regr.featureless | Featureless Regression Learner |
| mlr_learners_regr.rpart | Regression Tree Learner |
| mlr_measures | Dictionary of Performance Measures |
| mlr_measures_aic | Akaike Information Criterion Measure |
| mlr_measures_bic | Bayesian Information Criterion Measure |
| mlr_measures_classif.acc | Classification Accuracy |
| mlr_measures_classif.auc | Area Under the ROC Curve |
| mlr_measures_classif.bacc | Balanced Accuracy |
| mlr_measures_classif.bbrier | Binary Brier Score |
| 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.mbrier | Multiclass Brier Score |
| mlr_measures_classif.mcc | Matthews Correlation Coefficient |
| mlr_measures_classif.npv | Negative Predictive Value |
| mlr_measures_classif.ppv | Positive Predictive Value |
| mlr_measures_classif.prauc | Area Under the Precision-Recall Curve |
| 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 Error |
| mlr_measures_regr.mape | Mean Absolute Percent Error |
| mlr_measures_regr.maxae | Max Absolute Error |
| mlr_measures_regr.medae | Median Absolute Error |
| 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_sim.jaccard | Jaccard Similarity Index |
| mlr_measures_sim.phi | Phi Coefficient Similarity |
| 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_custom_cv | Custom Cross-Validation |
| mlr_resamplings_cv | Cross-Validation Resampling |
| mlr_resamplings_holdout | Holdout Resampling |
| mlr_resamplings_insample | Insample Resampling |
| mlr_resamplings_loo | Leave-One-Out Cross-Validation |
| 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_breast_cancer | Wisconsin Breast Cancer Classification Task |
| mlr_tasks_german_credit | German Credit Classification Task |
| mlr_tasks_iris | Iris Classification Task |
| mlr_tasks_mtcars | Motor Trend Regression Task |
| mlr_tasks_penguins | Palmer Penguins Data Set |
| 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_cassini | Cassini Classification Task Generator |
| mlr_task_generators_circle | Circle Classification Task Generator |
| mlr_task_generators_friedman1 | Friedman1 Regression Task Generator |
| mlr_task_generators_moons | Moons Classification Task Generator |
| mlr_task_generators_simplex | Simplex Classification Task Generator |
| mlr_task_generators_smiley | Smiley Classification Task Generator |
| mlr_task_generators_spirals | Spiral Classification Task Generator |
| mlr_task_generators_xor | XOR Classification Task Generator |
| msr | Syntactic Sugar for Object Construction |
| msrs | Syntactic Sugar for Object Construction |
| partition | Manually Partition into Training and Test Set |
| partition.TaskClassif | Manually Partition into Training and Test Set |
| partition.TaskRegr | Manually Partition into Training and Test Set |
| predict.Learner | Predict Method for Learners |
| Prediction | Abstract Prediction Object |
| PredictionClassif | Prediction Object for Classification |
| PredictionData | Convert to PredictionData |
| 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 |
| ResamplingCustomCV | Custom Cross-Validation |
| ResamplingCV | Cross-Validation Resampling |
| ResamplingHoldout | Holdout Resampling |
| ResamplingInsample | Insample Resampling |
| ResamplingLOO | Leave-One-Out Cross-Validation |
| ResamplingRepeatedCV | Repeated Cross-Validation Resampling |
| ResamplingSubsampling | Subsampling Resampling |
| rsmp | Syntactic Sugar for Object Construction |
| rsmps | Syntactic Sugar for Object Construction |
| set_threads | Set the Number of Threads |
| set_threads.default | Set the Number of Threads |
| set_threads.list | Set the Number of Threads |
| set_threads.R6 | Set the Number of Threads |
| Task | Task Class |
| TaskClassif | Classification Task |
| TaskGenerator | TaskGenerator Class |
| TaskGenerator2DNormals | 2D Normals Classification Task Generator |
| TaskGeneratorCassini | Cassini Classification Task Generator |
| TaskGeneratorCircle | Circle Classification Task Generator |
| TaskGeneratorFriedman1 | Friedman1 Regression Task Generator |
| TaskGeneratorMoons | Moons Classification Task Generator |
| TaskGeneratorSimplex | Simplex Classification Task Generator |
| TaskGeneratorSmiley | Smiley Classification Task Generator |
| TaskGeneratorSpirals | Spiral 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 |