mlnext.anomaly.hit_rate_at_p¶

mlnext.anomaly.hit_rate_at_p(dims: List[float] | ndarray[Any, dtype[_ScalarType_co]], ranking: List[float] | ndarray[Any, dtype[_ScalarType_co]], *, p: Literal[100, 150] = 100) → float[source]¶

Equals the percentage of overlapping dimensions between dims and the top contributing dimensions in the ranking suggested by OmniAnomaly.

Parameters:

dims (T.List[float]) – (Ground truth) Array which contains the dimensions indeed contributing to a given anomaly.
ranking (T.List[float]) – Array of all dimensions ordered by their contributions.
p (literal) – Number of dimensions (len(dims) * p/100) looked up in ranking.

Returns:

Returns the HitRate@P.

Return type:

float

Example

>>> import mlnext
>>> mlnext.hit_rate_at_p([6, 2], [6, 5, 1, 4, 3, 2], p=100)
0.5