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add explanation about overwriting behaviour

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kadarakos 2023-03-24 09:34:49 +00:00
parent 28de85737f
commit 2d765149c3
1 changed files with 5 additions and 2 deletions
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7
website/docs/api/spancategorizer.mdx
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@ -20,8 +20,9 @@ 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. Predicted spans will be saved in a [`SpanGroup`](/api/spangroup) on the `doc.spans["spans_key"]`,
Individual span scores can be found in `spangroup.attrs["scores"]`. where `"spans_key"` can be specified for the component.
Individual span scores are stored in `spangroup.attrs["scores"]`.
## Assigned Attributes {id="assigned-attributes"} ## Assigned Attributes {id="assigned-attributes"}
@ -30,6 +31,8 @@ Predictions will be saved to `Doc.spans[spans_key]` as a
be saved in `SpanGroup.attrs["scores"]`. be saved in `SpanGroup.attrs["scores"]`.
`spans_key` defaults to `"sc"`, but can be passed as a parameter. `spans_key` defaults to `"sc"`, but can be passed as a parameter.
If spans are already stored in the provided `"spans_key"` the `spancat` component will
overwrite the existing ones.
| Location | Value | | Location | Value |
| -------------------------------------- | -------------------------------------------------------- | | -------------------------------------- | -------------------------------------------------------- |