AdiabaticScanResult

experimental.network_dynamics.analysis.AdiabaticScanResult(p, n_up, stats)

Result of an :func:adiabatic_scan.

Attributes

Name	Type	Description
p	jax.Array	The swept parameter values, in scan order. Length `2*n` when `bothways` (up then down), else `n`.
n_up	int	Number of values in the ascending branch. `p[:n_up]` is the up-branch and `p[n_up:]` the down-branch.
stats	Bunch of str -> jax.Array	One array per recorded statistic, stacked along the scan axis and reachable by attribute (`stats.mean`) or key (`stats["mean"]`). Shape is `[len(p)]` for scalar reducers and `[len(p), ...]` for vector-valued reducers (e.g. `[len(p), n_nodes]` for a per-node statistic).

# AdiabaticScanResult { #tvboptim.experimental.network_dynamics.analysis.AdiabaticScanResult }

```python
experimental.network_dynamics.analysis.AdiabaticScanResult(p, n_up, stats)
```

Result of an :func:`adiabatic_scan`.

## Attributes {.doc-section .doc-section-attributes}

| Name   | Type                              | Description                                                                                                                                                                                                                                                                             |
|--------|-----------------------------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| p      | [jax](`jax`).[Array](`jax.Array`) | The swept parameter values, in scan order. Length ``2*n`` when ``bothways`` (up then down), else ``n``.                                                                                                                                                                                 |
| n_up   | [int](`int`)                      | Number of values in the ascending branch. ``p[:n_up]`` is the up-branch and ``p[n_up:]`` the down-branch.                                                                                                                                                                               |
| stats  | Bunch of str -> jax.Array         | One array per recorded statistic, stacked along the scan axis and reachable by attribute (``stats.mean``) or key (``stats["mean"]``). Shape is ``[len(p)]`` for scalar reducers and ``[len(p), ...]`` for vector-valued reducers (e.g. ``[len(p), n_nodes]`` for a per-node statistic). |