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Fix typos in docs #13466

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merged 3 commits into from
Apr 29, 2024
Merged

Fix typos in docs #13466

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d314bbb
fix typos
strickvl Apr 28, 2024
1f22e19
prettier formatting
strickvl Apr 29, 2024
7942480
Merge branch 'master' into docs/fix-typos
svlandeg Apr 29, 2024
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4 changes: 2 additions & 2 deletions spacy/cli/find_threshold.py
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Original file line number Diff line number Diff line change
Expand Up @@ -39,7 +39,7 @@ def find_threshold_cli(
# fmt: on
):
"""
Runs prediction trials for a trained model with varying tresholds to maximize
Runs prediction trials for a trained model with varying thresholds to maximize
the specified metric. The search space for the threshold is traversed linearly
from 0 to 1 in `n_trials` steps. Results are displayed in a table on `stdout`
(the corresponding API call to `spacy.cli.find_threshold.find_threshold()`
Expand Down Expand Up @@ -81,7 +81,7 @@ def find_threshold(
silent: bool = True,
) -> Tuple[float, float, Dict[float, float]]:
"""
Runs prediction trials for models with varying tresholds to maximize the specified metric.
Runs prediction trials for models with varying thresholds to maximize the specified metric.
model (Union[str, Path]): Pipeline to evaluate. Can be a package or a path to a data directory.
data_path (Path): Path to file with DocBin with docs to use for threshold search.
pipe_name (str): Name of pipe to examine thresholds for.
Expand Down
2 changes: 1 addition & 1 deletion spacy/tests/test_language.py
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Expand Up @@ -329,7 +329,7 @@ def test_language_pipe_error_handler(n_process):
nlp.set_error_handler(raise_error)
with pytest.raises(ValueError):
list(nlp.pipe(texts, n_process=n_process))
# set explicitely to ignoring
# set explicitly to ignoring
nlp.set_error_handler(ignore_error)
docs = list(nlp.pipe(texts, n_process=n_process))
assert len(docs) == 0
Expand Down
60 changes: 30 additions & 30 deletions website/docs/api/attributes.mdx
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Expand Up @@ -45,33 +45,33 @@ For attributes that represent string values, the internal integer ID is accessed
as `Token.attr`, e.g. `token.dep`, while the string value can be retrieved by
appending `_` as in `token.dep_`.

| Attribute | Description |
| ------------ | ------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| `DEP` | The token's dependency label. ~~str~~ |
| `ENT_ID` | The token's entity ID (`ent_id`). ~~str~~ |
| `ENT_IOB` | The IOB part of the token's entity tag. Uses custom integer vaues rather than the string store: unset is `0`, `I` is `1`, `O` is `2`, and `B` is `3`. ~~str~~ |
| `ENT_KB_ID` | The token's entity knowledge base ID. ~~str~~ |
| `ENT_TYPE` | The token's entity label. ~~str~~ |
| `IS_ALPHA` | Token text consists of alphabetic characters. ~~bool~~ |
| `IS_ASCII` | Token text consists of ASCII characters. ~~bool~~ |
| `IS_DIGIT` | Token text consists of digits. ~~bool~~ |
| `IS_LOWER` | Token text is in lowercase. ~~bool~~ |
| `IS_PUNCT` | Token is punctuation. ~~bool~~ |
| `IS_SPACE` | Token is whitespace. ~~bool~~ |
| `IS_STOP` | Token is a stop word. ~~bool~~ |
| `IS_TITLE` | Token text is in titlecase. ~~bool~~ |
| `IS_UPPER` | Token text is in uppercase. ~~bool~~ |
| `LEMMA` | The token's lemma. ~~str~~ |
| `LENGTH` | The length of the token text. ~~int~~ |
| `LIKE_EMAIL` | Token text resembles an email address. ~~bool~~ |
| `LIKE_NUM` | Token text resembles a number. ~~bool~~ |
| `LIKE_URL` | Token text resembles a URL. ~~bool~~ |
| `LOWER` | The lowercase form of the token text. ~~str~~ |
| `MORPH` | The token's morphological analysis. ~~MorphAnalysis~~ |
| `NORM` | The normalized form of the token text. ~~str~~ |
| `ORTH` | The exact verbatim text of a token. ~~str~~ |
| `POS` | The token's universal part of speech (UPOS). ~~str~~ |
| `SENT_START` | Token is start of sentence. ~~bool~~ |
| `SHAPE` | The token's shape. ~~str~~ |
| `SPACY` | Token has a trailing space. ~~bool~~ |
| `TAG` | The token's fine-grained part of speech. ~~str~~ |
| Attribute | Description |
| ------------ | -------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| `DEP` | The token's dependency label. ~~str~~ |
| `ENT_ID` | The token's entity ID (`ent_id`). ~~str~~ |
| `ENT_IOB` | The IOB part of the token's entity tag. Uses custom integer values rather than the string store: unset is `0`, `I` is `1`, `O` is `2`, and `B` is `3`. ~~str~~ |
| `ENT_KB_ID` | The token's entity knowledge base ID. ~~str~~ |
| `ENT_TYPE` | The token's entity label. ~~str~~ |
| `IS_ALPHA` | Token text consists of alphabetic characters. ~~bool~~ |
| `IS_ASCII` | Token text consists of ASCII characters. ~~bool~~ |
| `IS_DIGIT` | Token text consists of digits. ~~bool~~ |
| `IS_LOWER` | Token text is in lowercase. ~~bool~~ |
| `IS_PUNCT` | Token is punctuation. ~~bool~~ |
| `IS_SPACE` | Token is whitespace. ~~bool~~ |
| `IS_STOP` | Token is a stop word. ~~bool~~ |
| `IS_TITLE` | Token text is in titlecase. ~~bool~~ |
| `IS_UPPER` | Token text is in uppercase. ~~bool~~ |
| `LEMMA` | The token's lemma. ~~str~~ |
| `LENGTH` | The length of the token text. ~~int~~ |
| `LIKE_EMAIL` | Token text resembles an email address. ~~bool~~ |
| `LIKE_NUM` | Token text resembles a number. ~~bool~~ |
| `LIKE_URL` | Token text resembles a URL. ~~bool~~ |
| `LOWER` | The lowercase form of the token text. ~~str~~ |
| `MORPH` | The token's morphological analysis. ~~MorphAnalysis~~ |
| `NORM` | The normalized form of the token text. ~~str~~ |
| `ORTH` | The exact verbatim text of a token. ~~str~~ |
| `POS` | The token's universal part of speech (UPOS). ~~str~~ |
| `SENT_START` | Token is start of sentence. ~~bool~~ |
| `SHAPE` | The token's shape. ~~str~~ |
| `SPACY` | Token has a trailing space. ~~bool~~ |
| `TAG` | The token's fine-grained part of speech. ~~str~~ |
4 changes: 2 additions & 2 deletions website/docs/api/cli.mdx
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Expand Up @@ -567,7 +567,7 @@ New: 'ORG' (23860), 'PERSON' (21395), 'GPE' (21193), 'DATE' (18080), 'CARDINAL'
'LOC' (2113), 'TIME' (1616), 'WORK_OF_ART' (1229), 'QUANTITY' (1150), 'FAC'
(1134), 'EVENT' (974), 'PRODUCT' (935), 'LAW' (444), 'LANGUAGE' (338)
✔ Good amount of examples for all labels
✔ Examples without occurences available for all labels
✔ Examples without occurrences available for all labels
✔ No entities consisting of or starting/ending with whitespace

=========================== Part-of-speech Tagging ===========================
Expand Down Expand Up @@ -1320,7 +1320,7 @@ $ python -m spacy apply [model] [data-path] [output-file] [--code] [--text-key]

## find-threshold {id="find-threshold",version="3.5",tag="command"}

Runs prediction trials for a trained model with varying tresholds to maximize
Runs prediction trials for a trained model with varying thresholds to maximize
the specified metric. The search space for the threshold is traversed linearly
from 0 to 1 in `n_trials` steps. Results are displayed in a table on `stdout`
(the corresponding API call to `spacy.cli.find_threshold.find_threshold()`
Expand Down