Syntactic Sugar for Object Construction
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.
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")Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.