Get current parameter settings for a learner.
Retrieves the current hyperparameter settings of a learner.
getHyperPars(learner, for.fun = c("train", "predict", "both"))learner |
(Learner) |
for.fun |
( |
This function only shows hyperparameters that differ from the
learner default (because mlr changed the default) or if the user set
hyperparameters manually during learner creation. If you want to have an
overview of all available hyperparameters use getParamSet().
(list). A named list of values.
Other learner:
LearnerProperties,
getClassWeightParam(),
getLearnerId(),
getLearnerNote(),
getLearnerPackages(),
getLearnerParVals(),
getLearnerParamSet(),
getLearnerPredictType(),
getLearnerShortName(),
getLearnerType(),
getParamSet(),
helpLearnerParam(),
helpLearner(),
makeLearners(),
makeLearner(),
removeHyperPars(),
setHyperPars(),
setId(),
setLearnerId(),
setPredictThreshold(),
setPredictType()
getHyperPars(makeLearner("classif.ranger"))
## set learner hyperparameter `mtry` manually
getHyperPars(makeLearner("classif.ranger", mtry = 100))Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.