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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 2023-03-24 10:53:46 +01:00 committed by GitHub
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@ -20,8 +20,8 @@ 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 to predict at most one true class for a span, then use `spancat_singlelabel`. It
uses a `Softmax` layer and treats the task as a multi-class problem. 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.spans["spans_key"]`, Predicted spans will be saved in a [`SpanGroup`](/api/spangroup) on the doc under `doc.spans[spans_key]`,
where `"spans_key"` can be specified for the component. where `spans_key` is a component config setting.
Individual span scores are stored in `spangroup.attrs["scores"]`. Individual span scores are stored in `spangroup.attrs["scores"]`.
## Assigned Attributes {id="assigned-attributes"} ## Assigned Attributes {id="assigned-attributes"}