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prettier formatting
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@ -474,7 +474,7 @@ report span characteristics such as the average span length and the span (or
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span boundary) distinctiveness. The distinctiveness measure shows how different
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span boundary) distinctiveness. The distinctiveness measure shows how different
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the tokens are with respect to the rest of the corpus using the KL-divergence of
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the tokens are with respect to the rest of the corpus using the KL-divergence of
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the token distributions. To learn more, you can check out Papay et al.'s work on
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the token distributions. To learn more, you can check out Papay et al.'s work on
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[*Dissecting Span Identification Tasks with Performance Prediction* (EMNLP 2020)](https://aclanthology.org/2020.emnlp-main.396/).
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[_Dissecting Span Identification Tasks with Performance Prediction_ (EMNLP 2020)](https://aclanthology.org/2020.emnlp-main.396/).
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</Infobox>
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</Infobox>
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@ -1187,7 +1187,6 @@ be provided.
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> $ python -m spacy find-threshold my_nlp data.spacy spancat threshold spans_sc_f
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> $ python -m spacy find-threshold my_nlp data.spacy spancat threshold spans_sc_f
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> ```
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> ```
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| Name | Description |
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| Name | Description |
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| ----------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ |
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| ----------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ |
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| `model` | Pipeline to evaluate. Can be a package or a path to a data directory. ~~str (positional)~~ |
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| `model` | Pipeline to evaluate. Can be a package or a path to a data directory. ~~str (positional)~~ |
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@ -235,10 +235,10 @@ package to see what the oldest recommended versions of `numpy` are.
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Some additional options may be useful for spaCy developers who are editing the
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Some additional options may be useful for spaCy developers who are editing the
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source code and recompiling frequently.
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source code and recompiling frequently.
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- Install in editable mode. Changes to `.py` files will be reflected as soon
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- Install in editable mode. Changes to `.py` files will be reflected as soon as
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as the files are saved, but edits to Cython files (`.pxd`, `.pyx`) will
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the files are saved, but edits to Cython files (`.pxd`, `.pyx`) will require
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require the `pip install` command below to be run again. Before installing in
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the `pip install` command below to be run again. Before installing in editable
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editable mode, be sure you have removed any previous installs with
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mode, be sure you have removed any previous installs with
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`pip uninstall spacy`, which you may need to run multiple times to remove all
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`pip uninstall spacy`, which you may need to run multiple times to remove all
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traces of earlier installs.
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traces of earlier installs.
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@ -247,8 +247,8 @@ source code and recompiling frequently.
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$ pip install --no-build-isolation --editable .
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$ pip install --no-build-isolation --editable .
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```
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```
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- Build in parallel. Starting in v3.4.0, you can specify the number of
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- Build in parallel. Starting in v3.4.0, you can specify the number of build
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build jobs with the environment variable `SPACY_NUM_BUILD_JOBS`:
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jobs with the environment variable `SPACY_NUM_BUILD_JOBS`:
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```bash
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```bash
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$ pip install -r requirements.txt
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$ pip install -r requirements.txt
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@ -365,7 +365,8 @@ nlp.enable_pipe("tagger")
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In addition to `disable`, `spacy.load()` also accepts `enable`. If `enable` is
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In addition to `disable`, `spacy.load()` also accepts `enable`. If `enable` is
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set, all components except for those in `enable` are disabled. If `enable` and
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set, all components except for those in `enable` are disabled. If `enable` and
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`disable` conflict (i.e. the same component is included in both), an error is raised.
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`disable` conflict (i.e. the same component is included in both), an error is
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raised.
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```python
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```python
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# Load the complete pipeline, but disable all components except for tok2vec and tagger
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# Load the complete pipeline, but disable all components except for tok2vec and tagger
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@ -1400,8 +1401,8 @@ Writing to a `._` attribute instead of to the `Doc` directly keeps a clearer
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separation and makes it easier to ensure backwards compatibility. For example,
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separation and makes it easier to ensure backwards compatibility. For example,
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if you've implemented your own `.coref` property and spaCy claims it one day,
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if you've implemented your own `.coref` property and spaCy claims it one day,
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it'll break your code. Similarly, just by looking at the code, you'll
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it'll break your code. Similarly, just by looking at the code, you'll
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immediately know what's built-in and what's custom – for example,
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immediately know what's built-in and what's custom – for example, `doc.lang` is
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`doc.lang` is spaCy, while `doc._.language` isn't.
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spaCy, while `doc._.language` isn't.
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</Accordion>
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</Accordion>
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@ -63,8 +63,8 @@ All CNN pipelines have been extended with whitespace augmentation.
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The English CNN pipelines have new word vectors:
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The English CNN pipelines have new word vectors:
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| Package | Model Version | TAG | Parser LAS | NER F |
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| Package | Model Version | TAG | Parser LAS | NER F |
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| ----------------------------------------------- | ------------- | ---: | ---------: | ----: |
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| --------------------------------------------- | ------------- | ---: | ---------: | ----: |
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| [`en_core_web_md`](/models/en#en_core_web_md) | v3.3.0 | 97.3 | 90.1 | 84.6 |
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| [`en_core_web_md`](/models/en#en_core_web_md) | v3.3.0 | 97.3 | 90.1 | 84.6 |
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| [`en_core_web_md`](/models/en#en_core_web_md) | v3.4.0 | 97.2 | 90.3 | 85.5 |
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| [`en_core_web_md`](/models/en#en_core_web_md) | v3.4.0 | 97.2 | 90.3 | 85.5 |
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| [`en_core_web_lg`](/models/en#en_core_web_lg) | v3.3.0 | 97.4 | 90.1 | 85.3 |
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| [`en_core_web_lg`](/models/en#en_core_web_lg) | v3.3.0 | 97.4 | 90.1 | 85.3 |
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