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prettier formatting

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svlandeg 2022-12-05 08:57:24 +01:00
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commit 799d226676
4 changed files with 13 additions and 13 deletions
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3
website/docs/api/cli.md
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@ -474,7 +474,7 @@ report span characteristics such as the average span length and the span (or
span boundary) distinctiveness. The distinctiveness measure shows how different
the tokens are with respect to the rest of the corpus using the KL-divergence of
the token distributions. To learn more, you can check out Papay et al.'s work on
[*Dissecting Span Identification Tasks with Performance Prediction* (EMNLP 2020)](https://aclanthology.org/2020.emnlp-main.396/).
[_Dissecting Span Identification Tasks with Performance Prediction_ (EMNLP 2020)](https://aclanthology.org/2020.emnlp-main.396/).
</Infobox>
@ -1187,7 +1187,6 @@ be provided.
> $ python -m spacy find-threshold my_nlp data.spacy spancat threshold spans_sc_f
> ```
| Name | Description |
| ----------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ |
| `model` | Pipeline to evaluate. Can be a package or a path to a data directory. ~~str (positional)~~ |

12
website/docs/usage/index.md
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@ -235,10 +235,10 @@ package to see what the oldest recommended versions of `numpy` are.
Some additional options may be useful for spaCy developers who are editing the
source code and recompiling frequently.
- Install in editable mode. Changes to `.py` files will be reflected as soon
as the files are saved, but edits to Cython files (`.pxd`, `.pyx`) will
require the `pip install` command below to be run again. Before installing in
editable mode, be sure you have removed any previous installs with
- Install in editable mode. Changes to `.py` files will be reflected as soon as
the files are saved, but edits to Cython files (`.pxd`, `.pyx`) will require
the `pip install` command below to be run again. Before installing in editable
mode, be sure you have removed any previous installs with
`pip uninstall spacy`, which you may need to run multiple times to remove all
traces of earlier installs.
@ -247,8 +247,8 @@ source code and recompiling frequently.
$ pip install --no-build-isolation --editable .
```
- Build in parallel. Starting in v3.4.0, you can specify the number of
build jobs with the environment variable `SPACY_NUM_BUILD_JOBS`:
- Build in parallel. Starting in v3.4.0, you can specify the number of build
jobs with the environment variable `SPACY_NUM_BUILD_JOBS`:
```bash
$ pip install -r requirements.txt

7
website/docs/usage/processing-pipelines.md
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@ -365,7 +365,8 @@ nlp.enable_pipe("tagger")
In addition to `disable`, `spacy.load()` also accepts `enable`. If `enable` is
set, all components except for those in `enable` are disabled. If `enable` and
`disable` conflict (i.e. the same component is included in both), an error is raised.
`disable` conflict (i.e. the same component is included in both), an error is
raised.
```python
# Load the complete pipeline, but disable all components except for tok2vec and tagger
@ -1400,8 +1401,8 @@ Writing to a `._` attribute instead of to the `Doc` directly keeps a clearer
separation and makes it easier to ensure backwards compatibility. For example,
if you've implemented your own `.coref` property and spaCy claims it one day,
it'll break your code. Similarly, just by looking at the code, you'll
immediately know what's built-in and what's custom – for example,
`doc.lang` is spaCy, while `doc._.language` isn't.
immediately know what's built-in and what's custom – for example, `doc.lang` is
spaCy, while `doc._.language` isn't.
</Accordion>

4
website/docs/usage/v3-4.md
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@ -63,8 +63,8 @@ All CNN pipelines have been extended with whitespace augmentation.
The English CNN pipelines have new word vectors:
| Package | Model Version | TAG | Parser LAS | NER F |
| ----------------------------------------------- | ------------- | ---: | ---------: | ----: |
| Package | Model Version | TAG | Parser LAS | NER F |
| --------------------------------------------- | ------------- | ---: | ---------: | ----: |
| [`en_core_web_md`](/models/en#en_core_web_md) | v3.3.0 | 97.3 | 90.1 | 84.6 |
| [`en_core_web_md`](/models/en#en_core_web_md) | v3.4.0 | 97.2 | 90.3 | 85.5 |
| [`en_core_web_lg`](/models/en#en_core_web_lg) | v3.3.0 | 97.4 | 90.1 | 85.3 |