## WarmUpAuditor


Warm-up auditor - records cumulative mean results at intervals.


Usage

``` python
WarmUpAuditor(
    model,
    interval,
)
```


## Attributes


`model: Model`  
A model instance that has not yet been run (model.run()).

`interval: int`  
Audit frequency in minutes.

`audit_results: list`  
List of dictionaries containing audit snapshots at each interval.

`response_categories: list`  
List of response categories.


## Methods

| Name | Description |
|----|----|
| [__init__()](#__init__) | Initialise WarmUpAuditor. |
| [run()](#run) | Run auditor alongside simulation model. |
| [to_df()](#to_df) | Convert audit results to dataframe. |

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


#### \_\_init\_\_()


Initialise WarmUpAuditor.


Usage

``` python
__init__(model, interval)
```


##### Parameters


`model: Model`  
A model instance that has not yet been run (model.run()).

`interval: int`  
Audit frequency in minutes.


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


#### run()


Run auditor alongside simulation model.


Usage

``` python
run()
```


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


#### to_df()


Convert audit results to dataframe.


Usage

``` python
to_df()
```


##### Returns


`df: pd.DataFrame`  
Audit results with one row per run, time, and category.