explosion/spaCy
1
1
Fork 0
mirror of https://github.com/explosion/spaCy.git synced 2025-10-31 16:07:41 +03:00
Code Issues Packages Projects Releases Wiki Activity

Update website/docs/api/spancategorizer.mdx

Browse Source 
Co-authored-by: Adriane Boyd <adrianeboyd@gmail.com>
This commit is contained in:
kadarakos 2023-03-07 17:13:31 +01:00 committed by GitHub
parent aaf119b949
commit 75b9819553
No known key found for this signature in database
GPG Key ID: 4AEE18F83AFDEB23
1 changed files with 2 additions and 2 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

4
website/docs/api/spancategorizer.mdx
View File

@ -13,11 +13,11 @@ A span categorizer consists of two parts: a [suggester function](#suggesters)
that proposes candidate spans, which may or may not overlap, and a labeler model
that predicts zero or more labels for each candidate.
This component comes in two forms: `spancat` and `spancat_singlelabel`. When you
This component comes in two forms: `spancat` and `spancat_singlelabel` (added in spaCy v3.5.1). When you
need to perform multi-label classification on your spans, use `spancat`. The
`spancat` component uses a `Logistic` layer where the 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` <Tag variant="new">3.5.1</Tag>.
class for a span, then use `spancat_singlelabel`.
It uses a `Softmax` layer and treats the spans as a multi-class problem.
Predicted spans will be saved in a [`SpanGroup`](/api/spangroup) on the doc.