mirror of
https://github.com/explosion/spaCy.git
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41 lines
1.2 KiB
Python
41 lines
1.2 KiB
Python
from pathlib import Path
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from typing import Any, Callable, Dict, Iterable, Iterator, List
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from typing import NoReturn, Optional, Tuple, Union
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from ..tokens.doc import Doc
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from ..training import Example
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from ..language import Language
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class Pipe:
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def __call__(self, doc: Doc) -> Doc: ...
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def pipe(
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self, stream: Iterable[Doc], *, batch_size: int = ...
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) -> Iterator[Doc]: ...
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def initialize(
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self,
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get_examples: Callable[[], Iterable[Example]],
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*,
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nlp: Language = ...,
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) -> None: ...
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def score(
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self, examples: Iterable[Example], **kwargs: Any
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) -> Dict[str, Union[float, Dict[str, float]]]: ...
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@property
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def is_trainable(self) -> bool: ...
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@property
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def labels(self) -> Tuple[str, ...]: ...
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@property
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def hide_labels(self) -> bool: ...
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@property
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def label_data(self) -> Any: ...
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def _require_labels(self) -> None: ...
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def set_error_handler(
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self, error_handler: Callable[[str, "Pipe", List[Doc], Exception], NoReturn]
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) -> None: ...
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def get_error_handler(
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self,
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) -> Callable[[str, "Pipe", List[Doc], Exception], NoReturn]: ...
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def deserialize_config(path: Path) -> Any: ...
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