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https://github.com/explosion/spaCy.git
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f99d6d5e39
* Add scorer option to components Add an optional `scorer` parameter to all pipeline components. If a scoring function is provided, it overrides the default scoring method for that component. * Add registered scorers for all components * Add `scorers` registry * Move all scoring methods outside of components as independent functions and register * Use the registered scoring methods as defaults in configs and inits Additional: * The scoring methods no longer have access to the full component, so use settings from `cfg` as default scorer options to handle settings such as `labels`, `threshold`, and `positive_label` * The `attribute_ruler` scoring method no longer has access to the patterns, so all scoring methods are called * Bug fix: `spancat` scoring method is updated to set `allow_overlap` to score overlapping spans correctly * Update Russian lemmatizer to use direct score method * Check type of cfg in Pipe.score * Fix check * Update spacy/pipeline/sentencizer.pyx Co-authored-by: Sofie Van Landeghem <svlandeg@users.noreply.github.com> * Remove validate_examples from scoring functions * Use Pipe.labels instead of Pipe.cfg["labels"] Co-authored-by: Sofie Van Landeghem <svlandeg@users.noreply.github.com>
33 lines
1.1 KiB
Python
33 lines
1.1 KiB
Python
from typing import Optional, Callable
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from thinc.api import Model
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from ..ru.lemmatizer import RussianLemmatizer
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from ...pipeline.lemmatizer import lemmatizer_score
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from ...vocab import Vocab
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class UkrainianLemmatizer(RussianLemmatizer):
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def __init__(
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self,
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vocab: Vocab,
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model: Optional[Model],
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name: str = "lemmatizer",
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*,
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mode: str = "pymorphy2",
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overwrite: bool = False,
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scorer: Optional[Callable] = lemmatizer_score,
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) -> None:
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if mode == "pymorphy2":
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try:
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from pymorphy2 import MorphAnalyzer
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except ImportError:
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raise ImportError(
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"The Ukrainian lemmatizer mode 'pymorphy2' requires the "
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"pymorphy2 library and dictionaries. Install them with: "
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"pip install pymorphy2 pymorphy2-dicts-uk"
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) from None
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if getattr(self, "_morph", None) is None:
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self._morph = MorphAnalyzer(lang="uk")
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super().__init__(vocab, model, name, mode=mode, overwrite=overwrite, scorer=scorer)
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