Skip to content

DataEval documentation

dataeval.shift

dataeval.shift¶

Detect changes in data between different datasets.

Submodules¶

`update_strategies`	Update strategies inform how the drift detector classes update the reference data when monitoring.

Classes¶

`DriftMMD`	Drift detector using Maximum Mean Discrepancy (MMD) Drift Detection with permutation test.
`DriftMVDC`	Multivariant Domain Classifier
`DriftUnivariate`	Drift detector using univariate statistical tests.
`OODKNeighbors`	K-Nearest Neighbors Out-of-Distribution detector.
`OODReconstruction`	Autoencoder (AE) or Variational Autoencoder (VAE) based out-of-distribution detector.

Output Classes¶

`DriftMMDOutput`	Output class for `DriftMMD` (Maximum Mean Discrepancy) drift detector.
`DriftMVDCOutput`	Results of the multivariate domain classifier drift detection.
`DriftOutput`	Output class for univariate drift detectors.
`OODOutput`	Output class for predictions from out-of-distribution detectors.
`OODScoreOutput`	Output class for instance and feature scores from out-of-distribution detectors.