mlr3 (version 0.14.1)

mlr_learners: Dictionary of Learners

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 an opinionated set of solid classification and regression learners, install and load the mlr3learners package. More learners are connected via https://github.com/mlr-org/mlr3extralearners.

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

Format

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

Methods

See mlr3misc::Dictionary.

S3 methods

• as.data.table(dict, ..., objects = FALSE)
  mlr3misc::Dictionary -> data.table::data.table()
  Returns a data.table::data.table() with fields "key", "label", "task_type", "feature_types", "packages", "properties", and "predict_types" as columns. If objects is set to TRUE, the constructed objects are returned in the list column named object.

See Also

Sugar functions: lrn(), lrns()

Extension Packages: mlr3learners

Other Dictionary: mlr_measures, mlr_resamplings, mlr_task_generators, mlr_tasks

Other Learner: LearnerClassif, LearnerRegr, Learner, mlr_learners_classif.debug, mlr_learners_classif.featureless, mlr_learners_classif.rpart, mlr_learners_regr.debug, mlr_learners_regr.featureless, mlr_learners_regr.rpart

Examples

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