* Add `max_nb_bin` parameter to `postprocessing.rank_accuracy` (that was previously hard-coded).
0.3.0
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* Rename `num_threads` parameter of `modeling.MultiLDA` to `num_cpus`. * Fix rank estimation when there is only one key chunk. * Improve performance of `SNR.get_snr`.
0.2.0
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* Remove OpenBLAS and LAPACK, use Spectra and nalgebra instead. * Use BLIS for matrix multiplications (Linux-only for now). * Make `modeling.LDAClassifier` incremental (breaking change). * Add `modeling.MultiLDA`.
0.1.1
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* Fix "invalid instruction" bug for CI wheel on windows.
0.1.0
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* Initial release, with the following features: * LDA and Gaussian templates modeling * SNR * T-test any order (for TLVA) * Soft Analytical Side-Channel Attack (SASCA) * Rank Estimation