| mlr_learners | R Documentation |
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().
R6::R6Class object inheriting from mlr3misc::Dictionary.
See mlr3misc::Dictionary.
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.
Sugar functions: lrn(), lrns()
Extension Packages: mlr3learners
Other Dictionary:
mlr_measures,
mlr_resamplings,
mlr_task_generators,
mlr_tasks
Other Learner:
Learner,
LearnerClassif,
LearnerRegr,
mlr_learners_classif.debug,
mlr_learners_classif.featureless,
mlr_learners_classif.rpart,
mlr_learners_regr.debug,
mlr_learners_regr.featureless,
mlr_learners_regr.rpart
as.data.table(mlr_learners)
mlr_learners$get("classif.featureless")
lrn("classif.rpart")
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