## models.CvPath


Cross-validated scores along an elastic-net path, from


Usage


``` python
models.CvPath()
```


[ElasticNet.cross_validate](models.ElasticNet.md#prospicio.models.ElasticNet.cross_validate).


## Attributes

| Name | Description |
|----|----|
| [fold_scores](#fold_scores) | Each fold's mean deviance per [lam](models.ElasticNet.md#prospicio.models.ElasticNet.lam). |
| [lam_1se](#lam_1se) | The largest [lam](models.ElasticNet.md#prospicio.models.ElasticNet.lam) within one standard error of the lowest. |
| [lam_min](#lam_min) | [lam](models.ElasticNet.md#prospicio.models.ElasticNet.lam) with the lowest mean deviance. |
| [lams](#lams) | Penalty strengths, in the order given. |
| [mean](#mean) | Mean deviance over folds (weighted by fold weight), per [lam](models.ElasticNet.md#prospicio.models.ElasticNet.lam). |
| [se](#se) | Standard error of [mean](risk.Gpd.md#prospicio.risk.Gpd.mean), per [lam](models.ElasticNet.md#prospicio.models.ElasticNet.lam). |

------------------------------------------------------------------------


#### fold_scores


Each fold's mean deviance per [lam](models.ElasticNet.md#prospicio.models.ElasticNet.lam).


`fold_scores: list[list[float]]`


------------------------------------------------------------------------


#### lam_1se


The largest [lam](models.ElasticNet.md#prospicio.models.ElasticNet.lam) within one standard error of the lowest.


`lam_1se: float`


------------------------------------------------------------------------


#### lam_min


[lam](models.ElasticNet.md#prospicio.models.ElasticNet.lam) with the lowest mean deviance.


`lam_min: float`


------------------------------------------------------------------------


#### lams


Penalty strengths, in the order given.


`lams: list[float]`


------------------------------------------------------------------------


#### mean


Mean deviance over folds (weighted by fold weight), per [lam](models.ElasticNet.md#prospicio.models.ElasticNet.lam).


`mean: list[float]`


------------------------------------------------------------------------


#### se


Standard error of [mean](risk.Gpd.md#prospicio.risk.Gpd.mean), per [lam](models.ElasticNet.md#prospicio.models.ElasticNet.lam).


`se: list[float]`