dataeval.shift¶

Detect changes in data between different datasets.

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.
`EmbeddingsFeatureExtractor`	Extract embeddings from datasets for drift detection.
`LastSeenUpdateStrategy`	Updates reference dataset for drift detector using last seen method.
`MetadataFeatureExtractor`	Extract metadata factors from datasets for drift detection.
`OODKNeighbors`	K-Nearest Neighbors Out-of-Distribution detector.
`OODReconstruction`	Autoencoder (AE) or Variational Autoencoder (VAE) based out-of-distribution detector.
`OODReconstructionConfig`	Configuration for OODReconstruction detector training and threshold computation.
`ReservoirSamplingUpdateStrategy`	Updates reference dataset for drift detector using reservoir sampling method.
`UncertaintyFeatureExtractor`	Feature extractor that converts data to model uncertainty scores.

`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.