split_train_test_cv: Given a dataset, split it into training and test sets...

In katrinakalantar/metahostlab: Metagenomic Host Labelling of Unlabelled Data (one line, title case)

Description

Given a dataset, split it into training and test sets randomly.

Usage

split_train_test_cv(input, regex, source_variable, flip_i, flip_j,
  cv = 10)

Arguments

input	Dataset
regex	The regular expression for this class.
source_variable	The GEO dataset variable that will be used to split the dataset.
flip_i	Decimal value indicating the proportion of samples of class B to flip to class A.
flip_j	Decimal value indicating the proportion of samples of class B to flip to class A.
cv	The number of cross-validation splits to return; default = 10.

Value

List of datasets split for cross-validation with training and test sets, including flipped labels at specified percentage.

katrinakalantar/metahostlab documentation built on May 26, 2019, 2:31 p.m.