explosion/spaCy
1
1
Fork 0
mirror of https://github.com/explosion/spaCy.git synced 2024-12-25 17:36:30 +03:00
Code Issues Packages Projects Releases Wiki Activity

Merge branch 'feature/vectors' of https://github.com/explosion/spaCy into feature/vectors

Browse Source
This commit is contained in:
Matthew Honnibal 2020-07-29 14:56:27 +02:00
commit a2d573c039
8 changed files with 12 additions and 10 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

2
spacy/pipeline/entity_linker.py
View File

@ -387,7 +387,7 @@ class EntityLinker(Pipe):
docs (Iterable[Doc]): The documents to modify.
kb_ids (List[str]): The IDs to set, produced by EntityLinker.predict.
DOCS: https://spacy.io/api/entitylinker#predict
DOCS: https://spacy.io/api/entitylinker#set_annotations
"""
count_ents = len([ent for doc in docs for ent in doc.ents])
if count_ents != len(kb_ids):

2
spacy/pipeline/morphologizer.pyx
View File

@ -165,7 +165,7 @@ class Morphologizer(Tagger):
docs (Iterable[Doc]): The documents to modify.
batch_tag_ids: The IDs to set, produced by Morphologizer.predict.
DOCS: https://spacy.io/api/morphologizer#predict
DOCS: https://spacy.io/api/morphologizer#set_annotations
"""
if isinstance(docs, Doc):
docs = [docs]

8
spacy/pipeline/pipe.pyx
View File

@ -32,7 +32,9 @@ class Pipe:
raise NotImplementedError
def __call__(self, Doc doc):
"""Add context-sensitive embeddings to the Doc.tensor attribute.
"""Apply the pipe to one document. The document is modified in place,
and returned. This usually happens under the hood when the nlp object
is called on a text and all components are applied to the Doc.
docs (Doc): The Doc to preocess.
RETURNS (Doc): The processed Doc.
@ -74,9 +76,9 @@ class Pipe:
"""Modify a batch of documents, using pre-computed scores.
docs (Iterable[Doc]): The documents to modify.
tokvecses: The tensors to set, produced by Pipe.predict.
scores: The scores to assign.
DOCS: https://spacy.io/api/pipe#predict
DOCS: https://spacy.io/api/pipe#set_annotations
"""
raise NotImplementedError

2
spacy/pipeline/senter.pyx
View File

@ -76,7 +76,7 @@ class SentenceRecognizer(Tagger):
docs (Iterable[Doc]): The documents to modify.
batch_tag_ids: The IDs to set, produced by SentenceRecognizer.predict.
DOCS: https://spacy.io/api/sentencerecognizer#predict
DOCS: https://spacy.io/api/sentencerecognizer#set_annotations
"""
if isinstance(docs, Doc):
docs = [docs]

2
spacy/pipeline/tagger.pyx
View File

@ -145,7 +145,7 @@ class Tagger(Pipe):
docs (Iterable[Doc]): The documents to modify.
batch_tag_ids: The IDs to set, produced by Tagger.predict.
DOCS: https://spacy.io/api/tagger#predict
DOCS: https://spacy.io/api/tagger#set_annotations
"""
if isinstance(docs, Doc):
docs = [docs]

2
spacy/pipeline/textcat.py
View File

@ -163,7 +163,7 @@ class TextCategorizer(Pipe):
docs (Iterable[Doc]): The documents to modify.
scores: The scores to set, produced by TextCategorizer.predict.
DOCS: https://spacy.io/api/textcategorizer#predict
DOCS: https://spacy.io/api/textcategorizer#set_annotations
"""
for i, doc in enumerate(docs):
for j, label in enumerate(self.labels):

2
spacy/pipeline/tok2vec.py
View File

@ -109,7 +109,7 @@ class Tok2Vec(Pipe):
docs (Iterable[Doc]): The documents to modify.
tokvecses: The tensors to set, produced by Tok2Vec.predict.
DOCS: https://spacy.io/api/tok2vec#predict
DOCS: https://spacy.io/api/tok2vec#set_annotations
"""
for doc, tokvecs in zip(docs, tokvecses):
assert tokvecs.shape[0] == len(doc)

2
spacy/tokens/_serialize.py
View File

@ -50,7 +50,7 @@ class DocBin:
self,
attrs: Iterable[str] = ALL_ATTRS,
store_user_data: bool = False,
docs: Iterable[Doc]=[],
docs: Iterable[Doc] = tuple(),
) -> None:
"""Create a DocBin object to hold serialized annotations.