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@ -855,9 +855,9 @@ def score(self, examples: Iterable[Example]) -> Dict[str, Any]:
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...
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return {
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f"rel_micro_p": prf.precision,
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f"rel_micro_r": prf.recall,
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f"rel_micro_f": prf.fscore,
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"rel_micro_p": prf.precision,
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"rel_micro_r": prf.recall,
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"rel_micro_f": prf.fscore,
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}
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```
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@ -886,6 +886,11 @@ assigns it a name and lets you create the component with
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> [components.relation_extractor.model.get_candidates]
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> @misc = "rel_cand_generator.v1"
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> max_length = 20
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>
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> [training.score_weights]
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> rel_micro_p: 0.0
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> rel_micro_r: 0.0
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> rel_micro_f: 1.0
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> ```
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```python
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@ -904,14 +909,11 @@ it produces, and the scores that can be calculated:
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> #### config.cfg (excerpt)
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>
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> ```ini
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> [training.score_weights]
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> rel_micro_p: 0.0
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> rel_micro_r: 0.0
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> rel_micro_f: 1.0
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> ```
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```python
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### Factory annotations
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### Factory annotations {highlight="5-11"}
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from spacy.language import Language
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@Language.factory(
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