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Update v3.1 usage docs

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Adriane Boyd 2021-07-07 08:43:33 +02:00
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website/docs/usage/v3-1.md
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@ -68,7 +68,11 @@ that proposes candidate spans, which may or may not overlap, and a labeler model
that predicts zero or more labels for each candidate. The predicted spans are that predicts zero or more labels for each candidate. The predicted spans are
available via the [`Doc.spans`](/api/doc#spans) container. available via the [`Doc.spans`](/api/doc#spans) container.
<!-- TODO: example, getting started (init config?), maybe project template --> <Project id="experimental/ner_spancat">
This project trains a span categorizer for Indonesian NER.
</Project>
<Infobox title="Tip: Create data with Prodigy's new span annotation UI"> <Infobox title="Tip: Create data with Prodigy's new span annotation UI">
@ -307,3 +311,10 @@ provide warnings if the source and target pipelines don't contain the same
vectors. If you are sourcing a rule-based component like an entity ruler or vectors. If you are sourcing a rule-based component like an entity ruler or
lemmatizer that does not use the vectors as a model feature, then this warning lemmatizer that does not use the vectors as a model feature, then this warning
can be safely ignored. can be safely ignored.
### Warnings {#warnings}
Logger warnings have been converted to Python warnings. Use
[`warnings.filterwarnings`](https://docs.python.org/3/library/warnings.html#warnings.filterwarnings)
or the new helper method `spacy.errors.filter_warning(action, error_msg='')` to
manage warnings.