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marcotcr avatar marcotcr commented on August 28, 2024

It only really makes sense for tabular data, where you can compute coverage / precision on held out data.
Take a look at this. It's very simple: given a list of anchors, see where they apply, and greedily pick the anchor that increases total coverage the most.

from anchor.

 avatar commented on August 28, 2024

Thanks for the answer Marco, However what should be the list of anchors ?. Do we compute list of anchors separately and then pass them as a list or is there a function to automatically pick the best list of anchors ?

from anchor.

 avatar commented on August 28, 2024

Hello Marco, Any help on the above issue will be greatly appreciated.

from anchor.

marcotcr avatar marcotcr commented on August 28, 2024

If you have a validation dataset (data), just compute anchors for each element and put them in a separate list explanations. The submodular procedure will take this list and pick the best k (default 5), where 'best' is defined as 'maximum coverage'.

from anchor.

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