get_bestFeatureSets: Get the optinmal feature sets

In hrvg/RiverML: Machine Learning for River Science

Description

Get the optinmal feature sets

Usage

get_bestFeatureSets(
  BMR_perf,
  selectedPATH,
  lrn = c("svm", "randomForest", "nnTrain"),
  window_size = 5,
  confidence_level = 0.05
)

Arguments

BMR_perf	a data.frame from getBMR_perf_tune()
selectedPATH	character, path to the selected features
lrn	character, mlr learner.id
window_size	numeric, width of the search window
confidence_level	numeric, confidence level

Value

a data.frame with the optimal model number of features and selected features per task.id and learner.id

hrvg/RiverML documentation built on Oct. 12, 2020, 10:40 a.m.