DriftOutput#
- class dataeval.detectors.drift.DriftOutput(is_drift: bool, threshold: float, p_val: float, distance: float, feature_drift: ndarray[Any, dtype[bool_]], feature_threshold: float, p_vals: ndarray[Any, dtype[float32]], distances: ndarray[Any, dtype[float32]])#
Output class for
DriftCVM,DriftKS, andDriftUncertaintydrift detectors- is_drift#
Drift prediction for the images
- Type:
bool
- threshold#
Threshold after multivariate correction if needed
- Type:
float
- feature_drift#
Feature-level array of images detected to have drifted
- Type:
NDArray
- feature_threshold#
Feature-level threshold to determine drift
- Type:
float
- p_vals#
Feature-level p-values
- Type:
NDArray
- distances#
Feature-level distances
- Type:
NDArray