| { | |
| "sampling_rate_hz": 100, | |
| "component_order": "ZNE", | |
| "tensor_layout": "batch, component, sample", | |
| "dtype": "float32", | |
| "reference_window_samples": 3001, | |
| "normalization": "per-component demean, divide by population std + 1e-10", | |
| "zero_std": "replace zero std by 1 before division", | |
| "missing_components": "Legacy training randomly copies a present component into missing channels. Supply complete components for deterministic inference; no filling is performed by the loader or encode()." | |
| } | |