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Author:
None
Summary:
Calibrated anomaly detection and probabilistic hyperdimensional computing in JAX. Conformal classifier, regressor, and one-class anomaly detector with finite-sample coverage; closed-form Gaussian and Dirichlet hypervectors; pytree-native end-to-end.
Latest version:
0.5.0a1
Required dependencies:
jax
|
jaxlib
Optional dependencies:
matplotlib
|
mypy
|
myst-parser
|
pytest
|
pytest-cov
|
ruff
|
scikit-learn
|
sphinx
|
sphinx-autodoc-typehints
|
sphinx-rtd-theme
|
torch
|
torch-hd
|
tqdm
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