AllenNLP supports loading "plugins" dynamically. A plugin is just a Python package that is found by AllenNLP with the methods provided in this module.
There are two ways of declaring plugins for discovery:
* Writing the package name to import in a file (typically ".allennlp_plugins", in the current directory from which the command "allennlp" is run). This is the simplest approach. * Creating a folder called "allennlp_plugins" that's in the Python path when you run the "allennlp" command (typically under your project's root directory), then creating a subfolder with the name you want and creating an "__init__.py" file that imports the code you want (e.g., your Python package). This option is preferred when you want to create a pip-installable package and you want to make your AllenNLP plugin available when users install your package. See [allennlp-server](https://github.com/allenai/allennlp-server) for an example.
discover_file_plugins(plugins_filename:str='.allennlp_plugins') -> Iterable[str]
Returns an iterable of the plugins found, declared within a file whose path is
discover_namespace_plugins( namespace_name: str = 'allennlp_plugins', ) -> Iterable[pkgutil.ModuleInfo]
Returns an iterable of the plugins found, declared within the namespace package
discover_plugins() -> Iterable[str]
Returns an iterable of the plugins found.
import_plugins() -> None
Imports the plugins found with