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Flexible backend support (TensorFlow and PyTorch) for drift detectors MMDDrift and ClassifierDrift as well as support for both frameworks for preprocessing steps (from alibi_detect.cd.tensorflow import HiddenOutput, preprocess_drift and from alibi_detect.models.tensorflow import TransformerEmbedding, replace tensorflow with pytorch for PyTorch support) and various utility functions (kernels and distance metrics) under alibi_detect.utils.tensorflow and alibi_detect.utils.pytorch.
Significantly faster implementation MMDDrift detector leveraging both GPU implementations in TensorFlow and PyTorch as well as making efficient use of the cached kernel matrix for the permutation tests.
Change test for ChiSquareDrift from goodness-of-fit of the observed data against the empirical distribution of the reference data to a test for homogeneity which does not bias p-values as much to extremes.
Include NumpyEncoder in library to facilitate json serialization.
Removed
As part of the introduction of flexible backends for various drift detectors, dask is no longer supported for the MMDDrift detector and distance computations.
Fixed
Update RTD theme version due to rendering bug.
Bug when using TabularDrift with categorical features and continuous numerical features. Incorrect indexing of categorical columns was performed.
Development
Pin pystan version to working release with prophet.