dataeval.detectors.drift#

Drift detectors identify if the statistical properties of the data has changed.

Submodules#

`DriftCVM`	Drift detector employing the Cramér-von Mises (CVM) Drift Detection test.
`DriftKS`	Drift detector employing the Kolmogorov-Smirnov (KS) distribution test.
`DriftMMD`	Maximum Mean Discrepancy (MMD) Drift Detection algorithm using a permutation test.
`DriftMMDOutput`	Output class for `DriftMMD` drift detector
`DriftOutput`	Output class for `DriftCVM`, `DriftKS`, and `DriftUncertainty` drift detectors
`DriftUncertainty`	Test for a change in the number of instances falling into regions on which the

preprocess_drift(x, model[, device, ...])

Prediction function used for preprocessing step of drift detector.