mlr_sugar {mlr3} | R Documentation |
Syntactic Sugar for Object Construction
Description
Functions to retrieve objects, set hyperparameters and assign to fields in one go.
Relies on mlr3misc::dictionary_sugar_get()
to extract objects from the respective mlr3misc::Dictionary:
-
tgen()
for a TaskGenerator from mlr_task_generators. -
tgens()
for a list of TaskGenerators from mlr_task_generators. -
lrn()
for a Learner from mlr_learners. -
lrns()
for a list of Learners from mlr_learners. -
rsmp()
for a Resampling from mlr_resamplings. -
rsmps()
for a list of Resamplings from mlr_resamplings. -
msr()
for a Measure from mlr_measures. -
msrs()
for a list of Measures from mlr_measures.
Usage
tsk(.key, ...)
tsks(.keys, ...)
tgen(.key, ...)
tgens(.keys, ...)
lrn(.key, ...)
lrns(.keys, ...)
rsmp(.key, ...)
rsmps(.keys, ...)
msr(.key, ...)
msrs(.keys, ...)
Arguments
.key |
( |
... |
(named |
.keys |
( |
Value
R6::R6Class object of the respective type, or a list of R6::R6Class objects for the plural versions.
Examples
# penguins task with new id
tsk("penguins", id = "penguins2")
# classification tree with different hyperparameters
# and predict type set to predict probabilities
lrn("classif.rpart", cp = 0.1, predict_type = "prob")
# multiple learners with predict type 'prob'
lrns(c("classif.featureless", "classif.rpart"), predict_type = "prob")