## models.deviance()


Deviance `sum w d(y, mu)` of a family.


Usage


``` python
models.deviance(
    family,
    y,
    mu,
    weights=None,
    theta=None,
    power=None,
)
```


## Parameters


`family: str`  

`y: list of float`  

`mu: list of float`  

`weights: list of float = None`  

`theta: float = None`  

`power: float = None`  


## Returns


`float`