# Machine Learning in R - Next Generation

## Documentation for package ‘mlr3’ version 0.4.0

- DESCRIPTION file.

## Help Pages

A B D L M P R T

mlr3-package | mlr3: Machine Learning in R - Next Generation

## -- A --

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

## -- B --

benchmark | Benchmark Multiple Learners on Multiple Tasks
BenchmarkResult | Container for Benchmarking Results
benchmark_grid | Generate a Benchmark Grid Design

## -- D --

DataBackend | DataBackend
DataBackendDataTable | DataBackend for data.table
DataBackendMatrix | DataBackend for Matrix
default_measures | Get a Default Measure

## -- L --

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

## -- M --

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.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.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_insample | Insample 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_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

## -- P --

predict.Learner | Predict Method for Learners
Prediction | Abstract Prediction Object
PredictionClassif | Prediction Object for Classification
PredictionRegr | Prediction Object for Regression

## -- R --

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
ResamplingInsample | Insample Resampling
ResamplingRepeatedCV | Repeated Cross Validation Resampling
ResamplingSubsampling | Subsampling Resampling
rsmp | Syntactic Sugar for Object Construction
rsmps | Syntactic Sugar for Object Construction

## -- T --

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