Get the values for the hyper-parameter(s) set

Here is the list of learner supported by this function:

• "classif.svm"

• "classif.randomForest"

• "classif.plsdaCaret"

• "classif.ksvm"

• "classif.earth"

• "classif.IBk"

• "classif.fnn"

• "classif.rpart"

• "classif.lda"

• "classif.mda"

• "classif.h2o.glm"

• "classif.h2o.gbm"

• "classif.nnTrain"

• "classif.h2o.deeplearning"

• "classif.rda"

• "classif.naiveBayes"

• "classif.xgboost"

get_ps(lrn.id, data, grid_resolution)

Arguments

lrn.id	character, a mlr learner identifier
data	a named list with two elements data and labels
grid_resolution	numeric, defines the granularity of the discrete tuning grid

Value

a mlr paramSet