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Introduce cross_validation_folds.py with generate_ts_folds to create expanding-window time-series cross-validation folds. The function standardizes timestamps, enforces timezone consistency, validates parameters, and raises ValueError for invalid ranges. Returns a list of fold dicts (train_start, train_end, val_start, val_end) formatted as ISO date strings.
Extend generate_ts_folds to support sub-day frequencies (hours, minutes) via a new freq parameter.
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I don't know how it's happened that previous commit was only for day granularity. Sorry for the trouble, correct function is in the latest commit.
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Introduce cross_validation_folds.py with generate_ts_folds to create expanding-window time-series cross-validation folds. The function standardizes timestamps, enforces timezone consistency, validates parameters, and raises ValueError for invalid ranges.
Returns a list of fold dicts (train_start, train_end, val_start, val_end) formatted as ISO date strings.