## to_nervaluate()


Documents in nervaluate-disco's span format, one dict per document.


Usage

``` python
to_nervaluate(
    docs,
    *,
    unlabelled="raise",
)
```


Pass gold and predicted documents in the same order::

    from nervaluate import Evaluator
    true = cane.to_nervaluate(gold_docs)
    pred = cane.to_nervaluate(result.document for result in results)
    Evaluator(true, pred, tags=labels).evaluate()


## Parameters


`docs: Iterable[Document]`  
The documents.

`unlabelled: Literal[``"raise", `<span class="st">`"skip"``]`</span>` = ``"raise"`  
Entities without a label cannot be evaluated: `"raise"` or `"skip"`.