templates.CustomSVMSequenceTemplateSchema

class templates.CustomSVMSequenceTemplateSchema(*args, **kwargs)

Custom SMV Sequence Template

Parameters:

• model_path (str) – Path to trained binary SVM model

• feature_field (str) – Field containing embeddings

• feature_span_field (str) – Field containing spans that map to embeddings

• min_distance (float) – Minimum distance

• model_name (str) – SVM model name

static artifact_config_keys()

The names of the fields in the template schema pydantic model that represent paths to files or directories that contain data which back the LF template. For example, paths to a dictionary on disk that’s used within an LF.

Return type:

List[str]