dataeval.detectors.drift¶
Drift detectors identify if the statistical properties of the data has changed.
Submodules¶
Update strategies inform how the drift detector classes update the reference data when monitoring. |
Classes¶
Drift detector employing the Cramér-von Mises (CVM) Drift Detection test. |
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Drift detector employing the Kolmogorov-Smirnov (KS) distribution test. |
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Maximum Mean Discrepancy (MMD) Drift Detection algorithm using a permutation test. |
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Multivariant Domain Classifier |
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Test for a change in the number of instances falling into regions on which the model is uncertain. |
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Protocol for reference dataset update strategy for drift detectors |
Output Classes¶
Class wrapping the results of the classifier for drift detection and providing plotting functionality. |
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Output class for |