CADETProcess.metric_space.Metric#
- class CADETProcess.metric_space.Metric(name: str, n_metrics: int | None = None, dims: tuple[str, ...] | None = None, coords: dict[str, list[Any]] | None = None, labels: list[str] | None = None)[source]#
Bases:
objectDeclaration of a named output.
- Parameters:
- namestr
Unique name identifying this metric within a
MetricSpace.- n_metricsint, optional
Number of scalar entries. Derived from dims/coords when named dimensions are declared; defaults to 1 (scalar).
- dimstuple of str, optional
Named dimensions, e.g.
("component",). Requires coords.- coordsdict, optional
Coordinate values per dimension, e.g.
{"component": ["A", "B"]}. Every entry in dims must have coordinates.- labelslist of str, optional
One label per scalar entry. Defaults to name for scalars, to
{name}_{coord}for one-dimensional named metrics, and to{name}_{i}otherwise.
- validate(value: Any) ndarray[source]#
Validate value against the declared shape.
Returns the value as
np.ndarraywith the declared shape. A scalar metric additionally accepts a length-1 vector, which is canonicalized to a 0-d array.- Raises:
- ValueError
If the value’s shape does not match the declaration.