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Identifying wrong labels #16

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janfreyberg opened this issue Sep 5, 2018 · 1 comment
Open

Identifying wrong labels #16

janfreyberg opened this issue Sep 5, 2018 · 1 comment
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@janfreyberg
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Giles mentioned that it would be useful to have some way of identifying "wrong" labels – points that might be mislabelled – based on leave-one-out training and testing model accuracy.

It would be nice to provide an interface for that!
@janfreyberg janfreyberg self-assigned this Sep 5, 2018
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Just some more thoughts:

  • Influence functions could work well for this
  • Distance metrics in some dimensionality-reduced space might help with not having to re-train models all the time

@janfreyberg janfreyberg added the features new features label Jun 22, 2019
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