mlr3: mlr_learners – R documentation

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

Examples

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

mlr3

Machine Learning in R - Next Generation

v0.11.0

LGPL-3

Authors

Michel Lang [cre, aut] (<https://orcid.org/0000-0001-9754-0393>), Bernd Bischl [aut] (<https://orcid.org/0000-0001-6002-6980>), Jakob Richter [aut] (<https://orcid.org/0000-0003-4481-5554>), Patrick Schratz [aut] (<https://orcid.org/0000-0003-0748-6624>), Giuseppe Casalicchio [ctb] (<https://orcid.org/0000-0001-5324-5966>), Stefan Coors [ctb] (<https://orcid.org/0000-0002-7465-2146>), Quay Au [ctb] (<https://orcid.org/0000-0002-5252-8902>), Martin Binder [aut], Marc Becker [ctb] (<https://orcid.org/0000-0002-8115-0400>)

Initial release