mirror of https://github.com/explosion/spaCy.git
remove labels from morphologizer constructor
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@ -67,9 +67,6 @@ class Morphologizer(Tagger):
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vocab: Vocab,
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model: Model,
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name: str = "morphologizer",
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*,
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labels_morph: Optional[dict] = None,
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labels_pos: Optional[dict] = None,
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):
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"""Initialize a morphologizer.
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@ -77,8 +74,6 @@ class Morphologizer(Tagger):
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model (thinc.api.Model): The Thinc Model powering the pipeline component.
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name (str): The component instance name, used to add entries to the
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losses during training.
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labels_morph (dict): Mapping of morph + POS tags to morph labels.
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labels_pos (dict): Mapping of morph + POS tags to POS tags.
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DOCS: https://nightly.spacy.io/api/morphologizer#init
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"""
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@ -90,7 +85,7 @@ class Morphologizer(Tagger):
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# store mappings from morph+POS labels to token-level annotations:
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# 1) labels_morph stores a mapping from morph+POS->morph
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# 2) labels_pos stores a mapping from morph+POS->POS
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cfg = {"labels_morph": labels_morph or {}, "labels_pos": labels_pos or {}}
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cfg = {"labels_morph": {}, "labels_pos": {}}
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self.cfg = dict(sorted(cfg.items()))
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@property
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@ -66,9 +66,6 @@ shortcut for this and instantiate the component using its string name and
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| `vocab` | The shared vocabulary. ~~Vocab~~ |
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| `model` | The [`Model`](https://thinc.ai/docs/api-model) powering the pipeline component. ~~Model[List[Doc], List[Floats2d]]~~ |
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| `name` | String name of the component instance. Used to add entries to the `losses` during training. ~~str~~ |
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| _keyword-only_ | |
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| `labels_morph` | Mapping of morph + POS tags to morph labels. ~~Dict[str, str]~~ |
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| `labels_pos` | Mapping of morph + POS tags to POS tags. ~~Dict[str, str]~~ |
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## Morphologizer.\_\_call\_\_ {#call tag="method"}
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