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modified: spacy/language.py
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	- corrected typo in docstring for :method:`Language.replace_listeners`
	- added noqa comment on unused local variable assignment in :method:`Language.from_config` as I wasn't sure if it should be unassigned

modified:   website/docs/api/language.mdx
	- corrected typo in `Language.replace_listeners` markdown
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it176131 committed Jul 13, 2023
1 parent ddffd09 commit 64cf511
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4 changes: 2 additions & 2 deletions spacy/language.py
Original file line number Diff line number Diff line change
Expand Up @@ -1825,7 +1825,7 @@ def from_config(
# Later we replace the component config with the raw config again.
interpolated = filled.interpolate() if not filled.is_interpolated else filled
pipeline = interpolated.get("components", {})
sourced = util.get_sourced_components(interpolated)
sourced = util.get_sourced_components(interpolated) # noqa: F841
# If components are loaded from a source (existing models), we cache
# them here so they're only loaded once
source_nlps = {}
Expand Down Expand Up @@ -1958,7 +1958,7 @@ def replace_listeners(
useful when training a pipeline with components sourced from an existing
pipeline: if multiple components (e.g. tagger, parser, NER) listen to
the same tok2vec component, but some of them are frozen and not updated,
their performance may degrade significally as the tok2vec component is
their performance may degrade significantly as the tok2vec component is
updated with new data. To prevent this, listeners can be replaced with
a standalone tok2vec layer that is owned by the component and doesn't
change if the component isn't updated.
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2 changes: 1 addition & 1 deletion website/docs/api/language.mdx
Original file line number Diff line number Diff line change
Expand Up @@ -856,7 +856,7 @@ token-to-vector embedding component like [`Tok2Vec`](/api/tok2vec) or
training a pipeline with components sourced from an existing pipeline: if
multiple components (e.g. tagger, parser, NER) listen to the same
token-to-vector component, but some of them are frozen and not updated, their
performance may degrade significally as the token-to-vector component is updated
performance may degrade significantly as the token-to-vector component is updated
with new data. To prevent this, listeners can be replaced with a standalone
token-to-vector layer that is owned by the component and doesn't change if the
component isn't updated.
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