mlr_learners: Dictionary of Learners

In mllg/mlr3: Machine Learning in R - Next Generation

Description

A simple mlr3misc::Dictionary storing objects of class Learner. Each learner has an associated help page, see mlr_learners_[id].

This dictionary can get populated with additional learners by add-on packages. For more classification and regression learners, load the mlr3learners package.

For a more convenient way to retrieve and construct learners, see lrn().

Format

R6::R6Class object inheriting from mlr3misc::Dictionary.

Methods

See mlr3misc::Dictionary.

S3 methods

• as.data.table(dict)
  mlr3misc::Dictionary -> data.table::data.table()
  Returns a data.table::data.table() with fields "key", "feature_types", "packages", "properties" and "predict_types" as columns.

See Also

Example learners: classif.rpart, regr.rpart, classif.featureless, regr.featureless, classif.debug

Sugar function: lrn()

Extension Packages: mlr3learners

Other Dictionary: mlr_measures, mlr_resamplings, mlr_task_generators, mlr_tasks

Other Learner: LearnerClassif, LearnerRegr, Learner

Examples

as.data.table(mlr_learners)
mlr_learners$get("classif.featureless")
lrn("classif.rpart")

mllg/mlr3 documentation built on Sept. 27, 2019, 9:38 a.m.