create_ml_data: Data divider for machine learning

In aBoyNamedKerry/beisml: What the Package Does (One Line, Title Case)

Description

'create_ml_data()'

Usage

create_ml_data(df, proportion = c(0.8, 0, 0.2), validation = FALSE,
  seed_val = 1537)

Arguments

df	a data.frame object
proportion	the proportion to allocate to training, test and validation. Default split is training 0.8, test 0.2 and validation 0
validation	whether to include a validation split to the data
seed_val	set the seed value for reproducibility default 1537

Value

Returs up to 3 different data sets straight into global environment

Examples

create_ml_data(df = mtcars)

aBoyNamedKerry/beisml documentation built on Oct. 31, 2019, 1:52 a.m.