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Classification and regression model uncertainty drift detectors for both PyTorch and TensorFlow models: from alibi_detect.cd import ClassifierUncertaintyDrift, RegressorUncertaintyDrift.
Return p-values for ClassifierDrift detectors using either a KS test on the classifier's probabilities or logits. The model predictions can also be binarised and a binomial test can be applied.
Allow unseen categories in the test batches for the categorical and tabular drift detectors: from alibi_detect.cd import ChiSquareDrift, TabularDrift.