mirror of https://github.com/explosion/spaCy.git
67 lines
2.0 KiB
Python
67 lines
2.0 KiB
Python
|
from typing import Any, Callable, Dict, Iterable, List, Optional, Tuple
|
||
|
|
|
||
|
|
from ..tokens import Doc, Span
|
||
|
|
from ..vocab import Vocab
|
||
|
|
from .alignment import Alignment
|
||
|
|
|
||
|
|
def annotations_to_doc(
|
||
|
|
vocab: Vocab,
|
||
|
|
tok_annot: Dict[str, Any],
|
||
|
|
doc_annot: Dict[str, Any],
|
||
|
|
) -> Doc: ...
|
||
|
|
def validate_examples(
|
||
|
|
examples: Iterable[Example],
|
||
|
|
method: str,
|
||
|
|
) -> None: ...
|
||
|
|
def validate_get_examples(
|
||
|
|
get_examples: Callable[[], Iterable[Example]],
|
||
|
|
method: str,
|
||
|
|
): ...
|
||
|
|
|
||
|
|
class Example:
|
||
|
|
x: Doc
|
||
|
|
y: Doc
|
||
|
|
|
||
|
|
def __init__(
|
||
|
|
self,
|
||
|
|
predicted: Doc,
|
||
|
|
reference: Doc,
|
||
|
|
*,
|
||
|
|
alignment: Optional[Alignment] = None,
|
||
|
|
): ...
|
||
|
|
def __len__(self) -> int: ...
|
||
|
|
@property
|
||
|
|
def predicted(self) -> Doc: ...
|
||
|
|
@predicted.setter
|
||
|
|
def predicted(self, doc: Doc) -> None: ...
|
||
|
|
@property
|
||
|
|
def reference(self) -> Doc: ...
|
||
|
|
@reference.setter
|
||
|
|
def reference(self, doc: Doc) -> None: ...
|
||
|
|
def copy(self) -> Example: ...
|
||
|
|
@classmethod
|
||
|
|
def from_dict(cls, predicted: Doc, example_dict: Dict[str, Any]) -> Example: ...
|
||
|
|
@property
|
||
|
|
def alignment(self) -> Alignment: ...
|
||
|
|
def get_aligned(self, field: str, as_string=False): ...
|
||
|
|
def get_aligned_parse(self, projectivize=True): ...
|
||
|
|
def get_aligned_sent_starts(self): ...
|
||
|
|
def get_aligned_spans_x2y(
|
||
|
|
self, x_spans: Iterable[Span], allow_overlap=False
|
||
|
|
) -> List[Span]: ...
|
||
|
|
def get_aligned_spans_y2x(
|
||
|
|
self, y_spans: Iterable[Span], allow_overlap=False
|
||
|
|
) -> List[Span]: ...
|
||
|
|
def get_aligned_ents_and_ner(self) -> Tuple[List[Span], List[str]]: ...
|
||
|
|
def get_aligned_ner(self) -> List[str]: ...
|
||
|
|
def get_matching_ents(self, check_label: bool = True) -> List[Span]: ...
|
||
|
|
def to_dict(self) -> Dict[str, Any]: ...
|
||
|
|
def split_sents(self) -> List[Example]: ...
|
||
|
|
@property
|
||
|
|
def text(self) -> str: ...
|
||
|
|
def __str__(self) -> str: ...
|
||
|
|
def __repr__(self) -> str: ...
|
||
|
|
|
||
|
|
def _parse_example_dict_data(example_dict): ...
|
||
|
|
def _fix_legacy_dict_data(example_dict): ...
|