Split the data into training and test datasets
Julia Equivalent:
IAI.split_data
split_data(task, X, ...)
task |
The type of problem. |
X |
The features of the data. |
... |
Other parameters, including zero or more target vectors as required by the problem type. Refer to the Julia documentation for available parameters. |
X <- iris[, 1:4]
y <- iris$Species
split <- iai::split_data("classification", X, y, train_proportion = 0.75)
train_X <- split$train$X
train_y <- split$train$y
test_X <- split$test$X
test_y <- split$test$yPlease choose more modern alternatives, such as Google Chrome or Mozilla Firefox.