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Add note on score_weight if using a non-default span_key for SpanCat.

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Raphael Mitsch 2023-10-30 16:06:01 +01:00
parent 699dd8b3b7
commit 0bdd1b7fd5
1 changed files with 12 additions and 1 deletions
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website/docs/api/spancategorizer.mdx
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@ -89,9 +89,20 @@ architectures and their arguments and hyperparameters.
| `negative_weight` <Tag variant="new">3.5.1</Tag> | Multiplier for the loss terms. It can be used to downweight the negative samples if there are too many. It is only used when `add_negative_label` is `True`. Defaults to `1.0`. ~~float~~ |
| `allow_overlap` <Tag variant="new">3.5.1</Tag> | If `True`, the data is assumed to contain overlapping spans. It is only available when `max_positive` is exactly 1. Defaults to `True`. ~~bool~~ |
> ⚠️ Note that if you set a non-default value for `spans_key`, you'll have to
> update `[training.score_weights]` as well so that weights are computed
> properly. I. e. for `span_key == "myspankey"`, include this in your config:
````ini
[training.score_weights]
spans_myspankey_f = 1.0
spans_myspankey_p = 0.0
spans_myspankey_r = 0.0
```ini
```python
%%GITHUB_SPACY/spacy/pipeline/spancat.py
```
````
## SpanCategorizer.\_\_init\_\_ {id="init",tag="method"}