explosion/spaCy
1
1
Fork 0
mirror of https://github.com/explosion/spaCy.git synced 2025-11-04 09:57:26 +03:00
Code Issues Packages Projects Releases Wiki Activity

Update docs.

Browse Source
This commit is contained in:
Raphael Mitsch 2023-02-28 15:38:28 +01:00
parent 8596fb8b88
commit 50b34751eb
2 changed files with 6 additions and 4 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

5
website/docs/api/inmemorylookupkb.mdx
View File

@ -189,14 +189,15 @@ to you.
> >
> ```python > ```python
> from spacy.lang.en import English > from spacy.lang.en import English
> from spacy.tokens import SpanGroup
> nlp = English() > nlp = English()
> doc = nlp("Douglas Adams wrote 'The Hitchhiker's Guide to the Galaxy'.") > doc = nlp("Douglas Adams wrote 'The Hitchhiker's Guide to the Galaxy'.")
> candidates = kb.get_candidates((doc[0:2], doc[3:])) > candidates = kb.get_candidates(SpanGroup(doc, spans=[doc[0:2], doc[3:]])
> ``` > ```
| Name | Description | | Name | Description |
| ----------- | -------------------------------------------------------------------------------------------- | | ----------- | -------------------------------------------------------------------------------------------- |
| `mentions` | The textual mention or alias. ~~Iterable[Span]~~ | | `mentions` | The textual mention or alias. ~~SpanGroup~~ |
| **RETURNS** | An iterable of iterable with relevant `Candidate` objects. ~~Iterable[Iterable[Candidate]]~~ | | **RETURNS** | An iterable of iterable with relevant `Candidate` objects. ~~Iterable[Iterable[Candidate]]~~ |
## InMemoryLookupKB.get_alias_candidates {id="get_alias_candidates",tag="method"} ## InMemoryLookupKB.get_alias_candidates {id="get_alias_candidates",tag="method"}

5
website/docs/api/kb.mdx
View File

@ -93,14 +93,15 @@ to you.
> >
> ```python > ```python
> from spacy.lang.en import English > from spacy.lang.en import English
> from spacy.tokens import SpanGroup
> nlp = English() > nlp = English()
> doc = nlp("Douglas Adams wrote 'The Hitchhiker's Guide to the Galaxy'.") > doc = nlp("Douglas Adams wrote 'The Hitchhiker's Guide to the Galaxy'.")
> candidates = kb.get_candidates((doc[0:2], doc[3:])) > candidates = kb.get_candidates(SpanGroup(doc, spans=[doc[0:2], doc[3:]])
> ``` > ```
| Name | Description | | Name | Description |
| ----------- | -------------------------------------------------------------------------------------------- | | ----------- | -------------------------------------------------------------------------------------------- |
| `mentions` | The textual mention or alias. ~~Iterable[Span]~~ | | `mentions` | The textual mention or alias. ~~SpanGroup~~ |
| **RETURNS** | An iterable of iterable with relevant `Candidate` objects. ~~Iterable[Iterable[Candidate]]~~ | | **RETURNS** | An iterable of iterable with relevant `Candidate` objects. ~~Iterable[Iterable[Candidate]]~~ |
## KnowledgeBase.get_alias_candidates {id="get_alias_candidates",tag="method"} ## KnowledgeBase.get_alias_candidates {id="get_alias_candidates",tag="method"}