notice
This is documentation for Rasa Open Source Documentation v2.x, which is no longer actively maintained.
For up-to-date documentation, see the latest version (3.x).
Version: 2.x
rasa.nlu.featurizers.sparse_featurizer.lexical_syntactic_featurizer
LexicalSyntacticFeaturizer Objects
class LexicalSyntacticFeaturizer(SparseFeaturizer)
Creates features for entity extraction.
Moves with a sliding window over every token in the user message and creates features according to the configuration.
load
| @classmethod
| load(cls, meta: Dict[Text, Any], model_dir: Text, model_metadata: Optional[Metadata] = None, cached_component: Optional["LexicalSyntacticFeaturizer"] = None, **kwargs: Any, ,) -> "LexicalSyntacticFeaturizer"
Loads trained component (see parent class for full docstring).
persist
| persist(file_name: Text, model_dir: Text) -> Optional[Dict[Text, Any]]
Persist this model into the passed directory.
Return the metadata necessary to load the model again.