From 52723db6c5bde48f12b1f8873e941c996e1b6bfa Mon Sep 17 00:00:00 2001 From: Lj Miranda Date: Tue, 17 Jan 2023 10:27:59 +0800 Subject: [PATCH] Change exactly one -> at most one --- website/docs/api/spancategorizer.mdx | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/api/spancategorizer.mdx b/website/docs/api/spancategorizer.mdx index 7103d5956..6d938fd3b 100644 --- a/website/docs/api/spancategorizer.mdx +++ b/website/docs/api/spancategorizer.mdx @@ -16,7 +16,7 @@ that predicts zero or more labels for each candidate. This component comes in two forms: `spancat` and `spancat_exclusive`. 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 exactly one true +are independent for each class. However, if you need to predict at most one true class for a span, then use `spancat_exclusive`. It uses a `Softmax` layer and treats the entities as a multi-class problem.