# {py:mod}`dawsonia.ml.cli`

```{py:module} dawsonia.ml.cli
```

```{autodoc2-docstring} dawsonia.ml.cli
:allowtitles:
```

## Module Contents

### Functions

````{list-table}
:class: autosummary longtable
:align: left

* - {py:obj}`command <dawsonia.ml.cli.command>`
  - ```{autodoc2-docstring} dawsonia.ml.cli.command
    :summary:
    ```
````

### Data

````{list-table}
:class: autosummary longtable
:align: left

* - {py:obj}`app <dawsonia.ml.cli.app>`
  - ```{autodoc2-docstring} dawsonia.ml.cli.app
    :summary:
    ```
````

### API

````{py:data} app
:canonical: dawsonia.ml.cli.app
:value: >
   'Typer(...)'

```{autodoc2-docstring} dawsonia.ml.cli.app
```

````

````{py:function} command(source: str = 'washington', arch: str = 'flor', transform: bool = False, opencv: bool = False, image: str = '', train: bool = False, test: bool = False, norm_accentuation: bool = False, norm_punctuation: bool = False, epochs: int = 1000, batch_size: int = 16, learning_rate: typing.Annotated[float, typer.Option('-lr', '--learning-rate')] = None, model_path: pathlib.Path = Path('/local_disk/', 'data', 'ai-for-obs', 'interim', 'model_tmp'), config: typing.Annotated[pathlib.Path, typer.Option(*config_cli_names, **config_kwargs)] = Path('dawsonia.toml'))
:canonical: dawsonia.ml.cli.command

```{autodoc2-docstring} dawsonia.ml.cli.command
```
````