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Rename modules for consistency (#11286)
* rename Python module to entity_ruler * rename Python module to attribute_ruler
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@ -1,9 +1,9 @@
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from .attributeruler import AttributeRuler
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from .attribute_ruler import AttributeRuler
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from .dep_parser import DependencyParser
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from .edit_tree_lemmatizer import EditTreeLemmatizer
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from .entity_linker import EntityLinker
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from .ner import EntityRecognizer
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from .entityruler import EntityRuler
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from .entity_ruler import EntityRuler
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from .lemmatizer import Lemmatizer
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from .morphologizer import Morphologizer
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from .pipe import Pipe
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---
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title: AttributeRuler
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tag: class
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source: spacy/pipeline/attributeruler.py
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source: spacy/pipeline/attribute_ruler.py
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new: 3
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teaser: 'Pipeline component for rule-based token attribute assignment'
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api_string_name: attribute_ruler
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@ -34,7 +34,7 @@ how the component should be configured. You can override its settings via the
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| `validate` | Whether patterns should be validated (passed to the `Matcher`). Defaults to `False`. ~~bool~~ |
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```python
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%%GITHUB_SPACY/spacy/pipeline/attributeruler.py
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%%GITHUB_SPACY/spacy/pipeline/attribute_ruler.py
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```
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## AttributeRuler.\_\_init\_\_ {#init tag="method"}
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---
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title: EntityRuler
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tag: class
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source: spacy/pipeline/entityruler.py
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source: spacy/pipeline/entity_ruler.py
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new: 2.1
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teaser: 'Pipeline component for rule-based named entity recognition'
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api_string_name: entity_ruler
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@ -64,7 +64,7 @@ how the component should be configured. You can override its settings via the
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| `scorer` | The scoring method. Defaults to [`spacy.scorer.get_ner_prf`](/api/scorer#get_ner_prf). ~~Optional[Callable]~~ |
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```python
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%%GITHUB_SPACY/spacy/pipeline/entityruler.py
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%%GITHUB_SPACY/spacy/pipeline/entity_ruler.py
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```
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## EntityRuler.\_\_init\_\_ {#init tag="method"}
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@ -195,7 +195,7 @@ the data to and from a JSON file.
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>
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> To see custom serialization methods in action, check out the new
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> [`EntityRuler`](/api/entityruler) component and its
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> [source](%%GITHUB_SPACY/spacy/pipeline/entityruler.py). Patterns added to the
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> [source](%%GITHUB_SPACY/spacy/pipeline/entity_ruler.py). Patterns added to the
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> component will be saved to a `.jsonl` file if the pipeline is serialized to
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> disk, and to a bytestring if the pipeline is serialized to bytes. This allows
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> saving out a pipeline with a rule-based entity recognizer and including all
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