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dnguyengithub avatar dnguyengithub commented on August 16, 2024 1

Hi,
You could use the NFA to evaluate the "normalcy level" of each track in the test set.

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RobertSellers avatar RobertSellers commented on August 16, 2024

Good advice at making sense of the output, thanks for that.

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RobertSellers avatar RobertSellers commented on August 16, 2024

Hi again -

Any thoughts on the following? Inside the contrario_detection( ) function in contrario_utils.py, what if there is a loop added above the NFA function with additional (more than the default 0.0091) epsilon values and multiple sensitivities approaching 1e-10 to100? That way the totals can be tallied and sorted? Do you think this make sense to you as well?

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