You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
{{ message }}
This repository was archived by the owner on Sep 18, 2026. It is now read-only.
Repository navigation
This repository was archived by the owner on Sep 18, 2026. It is now read-only.
Ensure diversity sampling instead of random (proportionate) sampling #205
The diversity of the donor pool is only ensured by the assumption that higher level clustering is substantially diverse. This could be improved by verification of cross-cluster diversity in the addons space.
A solution here would be to specify weights that emphasize specific (niche) cluster representation in the final sample without compromising the non-addon diversity of "large" cluster sampling.
Even an inverse of the current strategy could be evaluated.
Activity
mlopatka commentedon Jan 28, 2019
This also comes back when we specify a proportionate sampling strategy here:
python_mozetl/mozetl/taar/taar_similarity.py
Line 168 in 491fbda
A solution here would be to specify weights that emphasize specific (niche) cluster representation in the final sample without compromising the non-addon diversity of "large" cluster sampling.
Even an inverse of the current strategy could be evaluated.
mlopatka commentedon Jan 28, 2019
@Dexterp37 can you assign this issue to me please? I have insufficient privileges to grab it :|