hoops_ai.ml.embeddings.Embedding

class hoops_ai.ml.embeddings.Embedding(values, model, dim, metadata=None)

Bases: object

Single embedding result.

Parameters:

• values (numpy.ndarray) – Embedding vector of shape (dim,), dtype float32

• model (str) – Model identifier (e.g., ‘hf:all-MiniLM-L6-v2’, ‘hoops:shape-v1’)

• dim (int) – Dimensionality of the embedding vector

• metadata (Dict[str, Any]) – Optional diagnostics (tokens, timings, processing info, etc.)

dim: int

metadata: Dict[str, Any] = None

model: str

values: numpy.ndarray