incerto.conformal.split_data# incerto.conformal.split_data(dataset, cal_ratio=0.5, seed=None)[source]# Split dataset into calibration and test sets. Parameters: dataset (Dataset) – PyTorch dataset to split. cal_ratio (float) – Fraction of data to use for calibration. seed (Optional[int]) – Random seed for reproducibility. Return type: tuple[Subset, Subset] Returns: Tuple of (calibration_dataset, test_dataset).
