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Add default value in negative_weight in docs

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Lj Miranda 2023-01-17 10:11:21 +08:00
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website/docs/api/spancategorizer.mdx
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@ -85,7 +85,7 @@ architectures and their arguments and hyperparameters.
| `threshold` | Minimum probability to consider a prediction positive. Spans with a positive prediction will be saved on the Doc. Defaults to `0.5`. ~~float~~ |
| `max_positive` | Maximum number of labels to consider positive per span. Defaults to `None`, indicating no limit. It is only available for the `spancat` component. ~~Optional[int]~~ |
| `scorer` | The scoring method. Defaults to [`Scorer.score_spans`](/api/scorer#score_spans) for `Doc.spans[spans_key]` with overlapping spans allowed. ~~Optional[Callable]~~ |
| `negative_weight` | Multiplier for the loss terms. It can be used to downweight the negative samples if there are too many. It is only available for the `spancat_exclusive` component. ~~float~~ |
| `negative_weight` | Multiplier for the loss terms. It can be used to downweight the negative samples if there are too many. It is only available for the `spancat_exclusive` component. Defaults to `1.0`. ~~float~~ |
| `allow_overlap` | If `True`, the data is assumed to contain overlapping spans. It is only available for the `spancat_exclusive` component. ~~bool~~ |