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Would be great for sklearn-contrib, though!<br>
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<div class="moz-cite-prefix">On 10/29/18 1:36 AM, Feldman, Joshua
wrote:<br>
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cite="mid:CAPUh_Fodf0O5m+Gmcd=Pa8dQXwv4qDu9qJzM-uiuJHAqCp4rmA@mail.gmail.com">
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<div dir="ltr">Hi,
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<div>I was wondering if there's any interest in adding
fairness metrics to sklearn. Specifically, I was thinking of
implementing the metrics described here: </div>
<div><br>
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<div><a href="https://dsapp.uchicago.edu/projects/aequitas/"
moz-do-not-send="true">https://dsapp.uchicago.edu/projects/aequitas/</a></div>
<div><br>
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<div>I recognize that these metrics are extremely simple to
calculate, but given that sklearn is the standard machine
learning package in python, I think it would be very
powerful to explicitly include algorithmic fairness - it
would make these methods more accessible and, as a matter of
principle, demonstrate that ethics is part of ML and not an
afterthought. I would love to hear the groups' thoughts and
if there's interest in such a feature.</div>
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<div>Thanks!</div>
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<div>Josh</div>
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