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Update website/docs/api/spancategorizer.mdx

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Co-authored-by: Adriane Boyd <adrianeboyd@gmail.com>
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kadarakos 2023-03-07 17:13:53 +01:00 committed by GitHub
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@ -18,7 +18,7 @@ need to perform multi-label classification on your spans, use `spancat`. The
`spancat` component uses a `Logistic` layer where the output class probabilities
are independent for each class. However, if you need to predict at most one true
class for a span, then use `spancat_singlelabel`.
It uses a `Softmax` layer and treats the spans as a multi-class problem.
It uses a `Softmax` layer and treats the task as a multi-class problem.
Predicted spans will be saved in a [`SpanGroup`](/api/spangroup) on the doc.
Individual span scores can be found in `spangroup.attrs["scores"]`.