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Unit tests using a pre-trained mnist model #51

@anagainaru

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@anagainaru

For now I would start with tests for each separate function:

  • all methods for drift detection (making sure the drift is detected when we want and it's not detected when it shouldn't)
  • continual learning (that the accuracy increases by how much we expect for an example)
  • the logger to make sure what we log is correct

This can be separate in 3 parts (when you take ownership of this comment as to which part you are doing)

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