train_test_split: train_test_split: Split X and ydata into two portions...

In UBC-MDS/CrossR: CrossR

Description

train_test_split: Split X and ydata into two portions according to input ratio. Default is for the split to include shuffling.

Usage

train_test_split(X, y, test_size = 0.25, random_state = 0, shuffle = TRUE)

Arguments

X	features, a dataframe or a vector,
y	target, a vector or a dataframe.
test_size	float between 0 and 1
random_state	A integer for setting the random seed.
shuffle	boolean, when TRUE, shuffle the data.

Value

list of split data in the order X_train, X_test, y_train, y_test.

Examples

X = data.frame(X = rnorm(100, 0, 10))
y =data.frame(y = 2 * X$X + rnorm(100))
split_data = train_test_split(X, y, test_size = 0.5)

UBC-MDS/CrossR documentation built on May 25, 2019, 1:35 p.m.