test_train_split: Split dataset into train and test

In light2802/EZ: EZ

Description

Splitting dataset into training and testing is a job done before every moedel training So this function does exactly that

Usage

test_train_split(data, train_size = 0.8, seed = 1, shuffle = FALSE)

Arguments

data	Dataframes,Arrays,Vectors
train_size	Numeric (should be between 0.0 and 1.0). Represent the proportion of the dataset to include in the test split.
seed	Controls the shuffling applied to the data before applying the split. Pass an int for reproducible output across multiple function calls.
shuffle	Whether or not to shuffle the data before splitting. Default is set to FALSE

Value

List containing train-test split of inputs.

See Also

base::gsub() which this function wraps.

Examples

test_train_split(mtcars)
test_train_split(mtcars, train_size=0.75, seed=101, shuffle=TRUE)

light2802/EZ documentation built on Dec. 21, 2021, 10:47 a.m.