mirror of
https://github.com/explosion/spaCy.git
synced 2025-07-10 16:22:29 +03:00
Fix incorrect docstrings
This commit is contained in:
parent
7851020653
commit
0b5c72fce2
|
@ -103,7 +103,7 @@ class Morphologizer(Tagger):
|
||||||
|
|
||||||
@property
|
@property
|
||||||
def label_data(self) -> Dict[str, Dict[str, Union[str, float, int, None]]]:
|
def label_data(self) -> Dict[str, Dict[str, Union[str, float, int, None]]]:
|
||||||
"""RETURNS (Dict): A dictionary with all labels data."""
|
"""A dictionary with all labels data."""
|
||||||
return {"morph": self.cfg["labels_morph"], "pos": self.cfg["labels_pos"]}
|
return {"morph": self.cfg["labels_morph"], "pos": self.cfg["labels_pos"]}
|
||||||
|
|
||||||
def add_label(self, label):
|
def add_label(self, label):
|
||||||
|
|
|
@ -92,12 +92,7 @@ class Tagger(Pipe):
|
||||||
|
|
||||||
@property
|
@property
|
||||||
def label_data(self):
|
def label_data(self):
|
||||||
"""Data about the labels currently added to the component.
|
"""Data about the labels currently added to the component."""
|
||||||
|
|
||||||
RETURNS (Dict): The labels data.
|
|
||||||
|
|
||||||
DOCS: https://nightly.spacy.io/api/tagger#labels
|
|
||||||
"""
|
|
||||||
return tuple(self.cfg["labels"])
|
return tuple(self.cfg["labels"])
|
||||||
|
|
||||||
def __call__(self, doc):
|
def __call__(self, doc):
|
||||||
|
|
|
@ -161,10 +161,7 @@ class TextCategorizer(Pipe):
|
||||||
|
|
||||||
@property
|
@property
|
||||||
def label_data(self) -> List[str]:
|
def label_data(self) -> List[str]:
|
||||||
"""RETURNS (List[str]): Information about the component's labels.
|
"""RETURNS (List[str]): Information about the component's labels."""
|
||||||
|
|
||||||
DOCS: https://nightly.spacy.io/api/textcategorizer#labels
|
|
||||||
"""
|
|
||||||
return self.labels
|
return self.labels
|
||||||
|
|
||||||
def pipe(self, stream: Iterable[Doc], *, batch_size: int = 128) -> Iterator[Doc]:
|
def pipe(self, stream: Iterable[Doc], *, batch_size: int = 128) -> Iterator[Doc]:
|
||||||
|
|
|
@ -7,6 +7,7 @@ from libcpp.vector cimport vector
|
||||||
from libc.string cimport memset
|
from libc.string cimport memset
|
||||||
from libc.stdlib cimport calloc, free
|
from libc.stdlib cimport calloc, free
|
||||||
import random
|
import random
|
||||||
|
from typing import Optional
|
||||||
|
|
||||||
import srsly
|
import srsly
|
||||||
from thinc.api import set_dropout_rate
|
from thinc.api import set_dropout_rate
|
||||||
|
@ -409,7 +410,7 @@ cdef class Parser(Pipe):
|
||||||
def set_output(self, nO):
|
def set_output(self, nO):
|
||||||
self.model.attrs["resize_output"](self.model, nO)
|
self.model.attrs["resize_output"](self.model, nO)
|
||||||
|
|
||||||
def initialize(self, get_examples, *, nlp=None, labels=None):
|
def initialize(self, get_examples, nlp=None, labels=None):
|
||||||
self._ensure_examples(get_examples)
|
self._ensure_examples(get_examples)
|
||||||
lexeme_norms = self.vocab.lookups.get_table("lexeme_norm", {})
|
lexeme_norms = self.vocab.lookups.get_table("lexeme_norm", {})
|
||||||
if len(lexeme_norms) == 0 and self.vocab.lang in util.LEXEME_NORM_LANGS:
|
if len(lexeme_norms) == 0 and self.vocab.lang in util.LEXEME_NORM_LANGS:
|
||||||
|
|
Loading…
Reference in New Issue
Block a user