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Merge branch 'master' into spacy.io

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Ines Montani 2021-02-03 23:59:36 +11:00
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4
README.md
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@ -26,8 +26,8 @@ open-source software, released under the MIT license.
[![Python wheels](https://img.shields.io/badge/wheels-%E2%9C%93-4c1.svg?longCache=true&style=flat-square&logo=python&logoColor=white)](https://github.com/explosion/wheelwright/releases)
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<br />
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## 📖 Documentation

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setup.cfg
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@ -68,7 +68,7 @@ console_scripts =
lookups =
spacy_lookups_data>=1.0.0,<1.1.0
transformers =
spacy_transformers>=1.0.0,<1.1.0
spacy_transformers>=1.0.1,<1.1.0
ray =
spacy_ray>=0.1.0,<1.0.0
cuda =

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spacy/about.py
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@ -1,6 +1,6 @@
# fmt: off
__title__ = "spacy"
__version__ = "3.0.1.dev0"
__version__ = "3.0.1"
__download_url__ = "https://github.com/explosion/spacy-models/releases/download"
__compatibility__ = "https://raw.githubusercontent.com/explosion/spacy-models/master/compatibility.json"
__projects__ = "https://github.com/explosion/projects"

2
spacy/cli/project/run.py
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@ -66,7 +66,7 @@ def project_run(
if subcommand in workflows:
msg.info(f"Running workflow '{subcommand}'")
for cmd in workflows[subcommand]:
project_run(project_dir, cmd, force=force, dry=dry)
project_run(project_dir, cmd, force=force, dry=dry, capture=capture)
else:
cmd = commands[subcommand]
for dep in cmd.get("deps", []):

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website/docs/api/cli.md
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@ -237,11 +237,11 @@ $ python -m spacy init labels [config_path] [output_path] [--code] [--verbose] [
| `config_path` | Path to [training config](/api/data-formats#config) file containing all settings and hyperparameters. If `-`, the data will be [read from stdin](/usage/training#config-stdin). ~~Union[Path, str] \(positional)~~ |
| `output_path` | Output directory for the label files. Will create one JSON file per component. ~~Path (positional)~~ |
| `--code`, `-c` | Path to Python file with additional code to be imported. Allows [registering custom functions](/usage/training#custom-functions) for new architectures. ~~Optional[Path] \(option)~~ |
| `--verbose`, `-V` | Show more detailed messages during training. ~~bool (flag)~~ |
| `--verbose`, `-V` | Show more detailed messages for debugging purposes. ~~bool (flag)~~ |
| `--gpu-id`, `-g` | GPU ID or `-1` for CPU. Defaults to `-1`. ~~int (option)~~ |
| `--help`, `-h` | Show help message and available arguments. ~~bool (flag)~~ |
| overrides | Config parameters to override. Should be options starting with `--` that correspond to the config section and value to override, e.g. `--paths.train ./train.spacy`. ~~Any (option/flag)~~ |
| **CREATES** | The best trained pipeline and the final checkpoint (if training is terminated). |
| **CREATES** | The label files. |
## convert {#convert tag="command"}

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website/docs/api/top-level.md
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@ -173,10 +173,9 @@ and _before_ loading any pipelines.
### spacy.require_cpu {#spacy.require_cpu tag="function" new="3.0.0"}
Allocate data and perform operations on CPU.
If data has already been allocated on GPU, it will not
be moved. Ideally, this function should be called right after importing spaCy
and _before_ loading any pipelines.
Allocate data and perform operations on CPU. If data has already been allocated
on GPU, it will not be moved. Ideally, this function should be called right
after importing spaCy and _before_ loading any pipelines.
> #### Example
>
@ -186,9 +185,9 @@ and _before_ loading any pipelines.
> nlp = spacy.load("en_core_web_sm")
> ```
| Name | Description |
| ----------- | ------------------------------------------------ |
| **RETURNS** | `True` ~~bool~~ |
| Name | Description |
| ----------- | --------------- |
| **RETURNS** | `True` ~~bool~~ |
## displaCy {#displacy source="spacy/displacy"}
@ -545,7 +544,7 @@ label sets.
| ----------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| `path` | The path to the labels file generated with [`init labels`](/api/cli#init-labels). ~~Path~~ |
| `require` | Whether to require the file to exist. If set to `False` and the labels file doesn't exist, the loader will return `None` and the `initialize` method will extract the labels from the data. Defaults to `False`. ~~bool~~ |
| **CREATES** | The |
| **CREATES** | The list of labels. ~~List[str]~~ |
### Corpus readers {#corpus-readers source="spacy/training/corpus.py" new="3"}

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website/docs/usage/training.md
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@ -940,7 +940,7 @@ import spacy
from spacy.tokens import Doc
@spacy.registry.architectures("custom_neural_network.v1")
def MyModel(output_width: int) -> Model[List[Doc], List[Floats2d]]:
def custom_neural_network(output_width: int) -> Model[List[Doc], List[Floats2d]]:
return create_model(output_width)
```