Request to add a function for computing df loss using an already trained model

I couldn't find a function for getting swapped, and unaltered loss for a df using an already trained model.

I can create a new PR to add a function like this:

```
def get_df_loss(trained_model,df):
     .....
     return [swapped_loss, unaltered_loss]
```