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

Description Format Construction Fields Methods See Also Examples

This Learner specializes Learner for regression problems.

Many predefined learners can be found in the mlr3misc::Dictionary mlr_learners after loading the mlr3learners package.

R6::R6Class object inheriting from Learner.

1 2	l = LearnerRegr$new(id, param_set = ParamSet$new(), predict_types = character(), feature_types = character(), properties = character(), data_formats = "data.table", packages = character())

For a description of the arguments, see Learner. task_type is set to "regr".

Possible values for predict_types are passed to and converted by PredictionRegr:

"response": Predicts a numeric response for each observation in the test set.
"se": Predicts the standard error for each value of response for each observation in the test set.

See Learner.

Example regression learners: regr.rpart

Other Learner: LearnerClassif, Learner, mlr_learners

# get all regression learners from mlr_learners:
lrns = mlr_learners$mget(mlr_learners$keys("^regr"))
names(lrns)

# get a specific learner from mlr_learners:
mlr_learners$get("regr.rpart")
lrn("classif.featureless")