data_split: Data split

In stschn/deepANN: Neural Network Toolbox

Data split

Description

Split data into two pieces, usually train and test pieces.

Usage

data_split(.data, ...)

## Default S3 method:
data_split(
  .data,
  test_size = 0.25,
  train_size = 0.75,
  random_state = NULL,
  shuffle = TRUE,
  axis = 1
)

## S3 method for class 'array'
data_split(
  .data,
  test_size = 0.25,
  train_size = 0.75,
  random_state = NULL,
  shuffle = TRUE,
  axis = 1
)

## S3 method for class 'data.frame'
data_split(
  .data,
  test_size = 0.25,
  train_size = 0.75,
  random_state = NULL,
  shuffle = TRUE
)

## S3 method for class 'factor'
data_split(
  .data,
  test_size = 0.25,
  train_size = 0.75,
  random_state = NULL,
  shuffle = TRUE
)

Arguments

.data	Data to be split.
test_size	An integer or float value between 0.0 and 1.0 representing the absolute number of test samples (integer) or the proportion of the data to include in the test split (float). If NULL (default), the value is set to the complement of the train size. If train_size is also NULL, it will be set to 0.25.
train_size	An integer or float value between 0.0 and 1.0 representing the absolute number of train samples (integer) or the proportion of the data to include in the train split (float). If NULL (default), the value is set to the complement of the test size.
random_state	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.
axis	The axis along to split. Default is the first axis.

Value

List containing data pieces.

stschn/deepANN documentation built on June 25, 2024, 7:27 a.m.