preprocessing.split.split_rel_train_val_test

preprocessing.split.split_rel_train_val_test(
    data,
    perc_train,
    perc_val,
    verbose=False,
)

Splits a time series DataFrame into training, validation, and test sets by percentages.

The test percentage is computed as 1 - perc_train - perc_val. Sizes are rounded to ensure the splits sum to the full dataset size.

Parameters

Name	Type	Description	Default
data	pd.DataFrame	The time series data with a DateTimeIndex.	required
perc_train	float	Fraction of data used for training.	required
perc_val	float	Fraction of data used for validation.	required
verbose	bool	Whether to print additional information.	False

Returns

Name	Type	Description
tuple	tuple[pd.DataFrame, pd.DataFrame, pd.DataFrame]	A tuple containing: - data_train (pd.DataFrame): The training set. - data_val (pd.DataFrame): The validation set. - data_test (pd.DataFrame): The test set.

Examples

>>> from spotforecast2_safe.data.fetch_data import fetch_data
>>> from spotforecast2_safe.preprocessing.split import split_rel_train_val_test
>>> data = fetch_data()
>>> data_train, data_val, data_test = split_rel_train_val_test(
...     data,
...     perc_train=0.7,
...     perc_val=0.2,
...     verbose=True
... )