leaderbot.data.split

leaderbot.data.split(data, test_ratio=0.2, seed=0)

Split data to training and test data.

Parameters:

dataDataType

Input dataset.

test_ratiofloat, default=0.2

The ratio of the number of samples from test data with respect to the input dataset. The ration should be a number between zero and one.

seedint, default=0

Random state to initialize random generation. If None, no seed will be set.

Returns:

training_dataDataType

Training data with the ratio of 1-test_ratio number of samples.

test_dataDataType

Test data with the ratio of test_ratio number of samples.

See also

leaderbot.data.load

Examples

>>> import leaderbot as lb

>>> # Load default dataset
>>> data = lb.data.load()

>>> # Split data to training and test data
>>> training_data, test_data = lb.data.split(data)