mlr_sugar | R Documentation |
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:
tsk()
for a Task from mlr_tasks.
tsks()
for a list of Tasks from mlr_tasks.
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.
tsk(.key, ...) tsks(.keys, ...) tgen(.key, ...) tgens(.keys, ...) lrn(.key, ...) lrns(.keys, ...) rsmp(.key, ...) rsmps(.keys, ...) msr(.key, ...) msrs(.keys, ...)
.key |
( |
... |
(named |
.keys |
( |
R6::R6Class object of the respective type, or a list of R6::R6Class objects for the plural versions.
# 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")
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