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v2.0.0

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@yaniker yaniker released this 01 Apr 21:42
· 230 commits to main since this release

This release:

  1. introduces conditional NetTrustScore (CNTS) that measures trustworthiness for true and false predictions for each class.
  2. simplifies the import and call processes, (Trustworthiness.compute_NTS() -> NTS.compute() and CNTS.compute())
  3. adds assert conditions,
  4. sets trust spectrum plot to False by default,
  5. adds plots.py for user interaction under assets,
  6. adds conditional_trust_densities.png under assets,
  7. has several minor bug fixes and cosmetic improvements