> ## Documentation Index
> Fetch the complete documentation index at: https://systematica.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# State

> systematica.models.meta_model.state

## `State`

```python theme={null}
State()
```

State class for computing features from a data object.

### Static methods

#### `from_registry`

```python theme={null}
from_registry(
    data: vectorbtpro.data.base.Data,
    window: int,
    minp: int = None,
    to_numpy: bool = False,
    state_registry: List[systematica.models.meta_model.state_registries.StateConfig] = None,
) ‑> pandas.core.frame.DataFrame | numpy.ndarray
```

Calculate all registered features.

**Parameters**:

| Name             | Type               | Default | Description                                                                     |
| ---------------- | ------------------ | ------- | ------------------------------------------------------------------------------- |
| `data`           | `vbt.Data`         | `--`    | Data object. Must include required data from the registry.                      |
| `window`         | `tp.FrequencyLike` | `--`    | Window size as an integer.                                                      |
| `minp`           | `int`              | `None`  | Minimum number of observations required.                                        |
| `to_numpy`       | `bool`             | `False` | Output numpy array. Pandas DataFrame otherwise. Defaults to False.              |
| `state_registry` | `StateConfig`      | `None`  | State representation registry. if None, uses STATE\_REGISTRY. Defaults to None. |

**Returns**:

| Type                         | Description        |
| ---------------------------- | ------------------ |
| `pd.DataFrame \| tp.Array2d` | Computed features. |