Function _sigmoid

python/openquant/feature_diagnostics.py:132–137

(z: float)

            train_mask[i] = False

        train_idx = [i for i, keep in enumerate(train_mask) if keep]
        if not train_idx or not test_idx:
            raise ValueError("PurgedKFold generated an empty train/test fold")

        splits.append((train_idx, test_idx))
        start = stop

    return splits