mirror of https://github.com/explosion/spaCy.git
58 lines
1.3 KiB
Python
58 lines
1.3 KiB
Python
from typing import TYPE_CHECKING
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from typing import Optional, Any, Iterable, Dict, Callable, Sequence, List
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from .compat import Protocol, runtime_checkable
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from thinc.api import Optimizer, Model
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if TYPE_CHECKING:
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from .training import Example
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from .language import Language
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@runtime_checkable
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class TrainableComponent(Protocol):
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model: Any
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is_trainable: bool
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def update(
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self,
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examples: Iterable["Example"],
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*,
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drop: float = 0.0,
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sgd: Optional[Optimizer] = None,
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losses: Optional[Dict[str, float]] = None
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) -> Dict[str, float]:
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...
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def finish_update(self, sgd: Optimizer) -> None:
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...
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@runtime_checkable
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class InitializableComponent(Protocol):
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def initialize(
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self,
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get_examples: Callable[[], Iterable["Example"]],
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nlp: "Language",
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**kwargs: Any
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):
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...
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@runtime_checkable
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class ListenedToComponent(Protocol):
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model: Any
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listeners: Sequence[Model]
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listener_map: Dict[str, Sequence[Model]]
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listening_components: List[str]
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def add_listener(self, listener: Model, component_name: str) -> None:
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...
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def remove_listener(self, listener: Model, component_name: str) -> bool:
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...
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def find_listeners(self, component) -> None:
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...
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