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update documentation of debug config

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svlandeg 2020-07-30 19:12:42 +02:00
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@ -147,17 +147,21 @@ config from being resolved. This means that you may not see all validation
errors at once and some issues are only shown once previous errors have been
fixed.
Instead of specifying all required settings in the config file, you can rely
on an auto-fill functionality that uses spaCy's built-in defaults. The resulting
full config can be written to file and used in downstream training tasks.
```bash
$ python -m spacy debug config [config_path] [--code] [overrides]
$ python -m spacy debug config [config_path] [--code_path] [--output] [--auto_fill] [--diff] [overrides]
```
> #### Example
> #### Example 1
>
> ```bash
> $ python -m spacy debug config ./config.cfg
> ```
<Accordion title="Example output" spaced>
<Accordion title="Example 1 output" spaced>
```
✘ Config validation error
@ -176,12 +180,30 @@ training -> width extra fields not permitted
</Accordion>
| Argument | Type | Description |
| -------------- | ---------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| `config_path` | positional | Path to [training config](/api/data-formats#config) file containing all settings and hyperparameters. |
| `--code`, `-c` | option | Path to Python file with additional code to be imported. Allows [registering custom functions](/usage/training#custom-models) for new architectures. |
| `--help`, `-h` | flag | Show help message and available arguments. |
| overrides | | Config parameters to override. Should be options starting with `--` that correspond to the config section and value to override, e.g. `--training.use_gpu 1`. |
> #### Example 2
>
> ```bash
> $ python -m spacy debug config ./minimal_config.cfg -F -o ./filled_config.cfg
> ```
<Accordion title="Example 2 output" spaced>
```
✔ Auto-filled config is valid
✔ Saved updated config to ./filled_config.cfg
```
</Accordion>
| Argument | Type | Default | Description |
| --------------------- | ---------- | ------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| `config_path` | positional | - | Path to [training config](/api/data-formats#config) file containing all settings and hyperparameters. |
| `--code_path`, `-c` | option | `None` | Path to Python file with additional code to be imported. Allows [registering custom functions](/usage/training#custom-models) for new architectures. |
| `--auto_fill`, `-F` | option | `False` | Whether or not to auto-fill the config with built-in defaults if possible. If `False`, the provided config needs to be complete. |
| `--output_path`, `-o` | option | `None` | Output path where the filled config can be stored. Use '-' for standard output. |
| `--diff`, `-D` | option | `False` | Show a visual diff if config was auto-filled. |
| `--help`, `-h` | flag | `False` | Show help message and available arguments. |
| overrides | | `None` | Config parameters to override. Should be options starting with `--` that correspond to the config section and value to override, e.g. `--training.use_gpu 1`. |
### debug data {#debug-data}