set_training_split

set_training_split(x: Panel, y: Panel, train_size: float | int = 0.7, val_size: float | int = 0.2, test_size: float | int = 0.1) → None[source]

Splits panel in training, validation, and test.

Parameters

train_size (float or int) – Fraction of data to use for training.
test_size (float or int) – Fraction of data to use for testing.
val_size (float or int) – Fraction of data to use for validation.

Example:

>>> x, y = set_training_split(x, y, train_size=0.8, val_size=0.2, test_size=0.1)