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 |
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.
See Learner.
Example regression learners: regr.rpart
Other Learner: LearnerClassif
,
Learner
, mlr_learners
1 2 3 4 5 6 7 | # 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")
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