MLSelection: Applies the MLWrapper to all data sources with all algorithms...

Description Usage Arguments

View source: R/MLSelection.R

Description

importFrom magrittr "

Usage

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MLSelection(data_object, partition_style = "random", folds = 3,
  repeats = 10, algorithms = "all", data_sources = "all",
  single_source = NULL)

Arguments

data_object

argument is the output produced by as.MLinput, which contains a single x data frame or a list of x data frames, a y data frames and attributes

partition_style

one of 'random' or 'paired' (character string) indicating type of partition

folds

integer of k for k-fold cross validation

repeats

integer of number of iterations to repeat cross validation

algorithms

either 'all', or one of 'rf', 'svm', 'nb', 'knn'. May also include a vector combination of the latter (e.g. c('rf','svm'))


pmartR/peppuR documentation built on Jan. 17, 2020, 12:54 p.m.