Function reference • mlr3

Building Blocks
`Task`	Task Class
`Learner`	Learner Class
`Measure`	Measure Class
`Resampling`	Resampling Class
`Prediction`	Abstract Prediction Object
Data Backends
`DataBackend`	DataBackend
`DataBackendDataTable`	DataBackend for data.table
`DataBackendMatrix`	DataBackend for Matrix
`as_data_backend()`	Create a Data Backend
Classification
`TaskClassif`	Classification Task
`LearnerClassif`	Classification Learner
`MeasureClassif`	Classification Measure
`PredictionClassif`	Prediction Object for Classification
Regression
`TaskRegr`	Regression Task
`LearnerRegr`	Regression Learner
`MeasureRegr`	Regression Measure
`PredictionRegr`	Prediction Object for Regression
Tasks
`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
Task Generators
`TaskGenerator`	TaskGenerator Class
`TaskGenerator2DNormals`	2d Normals Classification Task Generator
`TaskGeneratorFriedman1`	Friedman1 Regression Task Generator
`TaskGeneratorSmiley`	Smiley Classification Task Generator
`TaskGeneratorXor`	XOR Classification Task Generator
`mlr_task_generators`	Dictionary of Task Generators
Learners
`LearnerClassifDebug`	Classification Learner for Debugging
`LearnerClassifFeatureless`	Featureless Classification Learner
`LearnerClassifRpart`	Classification Tree Learner
`LearnerRegrFeatureless`	Featureless Regression Learner
`LearnerRegrRpart`	Regression Tree Learner
`mlr_learners`	Dictionary of Learners
Measures
`MeasureClassifCosts`	Cost-sensitive Classification Measure
`MeasureDebug`	Debug Measure
`MeasureElapsedTime`	Elapsed Time Measure
`MeasureOOBError`	Out-of-bag Error Measure
`MeasureSelectedFeatures`	Selected Features Measure
`MeasureSimple`	Measures implemented in mlr3measures
`mlr_measures`	Dictionary of Performance Measures
`default_measures()`	Get a Default Measure
Resampling Strategies
`ResamplingBootstrap`	Bootstrap Resampling
`ResamplingCV`	Cross Validation Resampling
`ResamplingCustom`	Custom Resampling
`ResamplingHoldout`	Holdout Resampling
`ResamplingRepeatedCV`	Repeated Cross Validation Resampling
`ResamplingSubsampling`	Subsampling Resampling
`mlr_resamplings`	Dictionary of Resampling Strategies
Resample
`resample()`	Resample a Learner on a Task
`ResampleResult`	Container for Results of `resample()`
Benchmarking
`benchmark()`	Benchmark Multiple Learners on Multiple Tasks
`benchmark_grid()`	Generate a Benchmark Grid Design
`BenchmarkResult`	Container for Results of `benchmark()`
`as_benchmark_result()`	Convert to BenchmarkResult
Extending mlr3
`assert_backend()` `assert_task()` `assert_tasks()` `assert_learner()` `assert_learners()` `assert_learnable()` `assert_measure()` `assert_measures()` `assert_resampling()` `assert_resamplings()` `assert_prediction()` `assert_resample_result()` `assert_benchmark_result()` `assert_row_ids()`	Assertion for mlr3 Objects
`as_task()` `as_tasks()` `as_learner()` `as_learners()` `as_resampling()` `as_resamplings()` `as_measure()` `as_measures()`	Object Coercion
`mlr_reflections`	Reflections for mlr3
`tsk()` `tsks()` `tgen()` `tgens()` `lrn()` `lrns()` `rsmp()` `rsmps()` `msr()` `msrs()`	Syntactic Sugar for Object Construction
`predict(<Learner>)`	Predict Method for Learners

Reference

Building Blocks

Data Backends

Classification

Regression

Tasks

Task Generators

Learners

Measures

Resampling Strategies

Resample

Benchmarking

Extending mlr3

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