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
#87 introduces the core algorithms, but representative sampling using class labels is currently broken.
This is probably because hnswlib filtering doesn't let us get a connected graph, and so ANN search fails. We should understand how / when this fails. There are possibly easy fixes, i.e. generating a separate index per dataset per class, or increasing the edge factor, but the real solution is to understand how to use hnsw properly in our context.
The text was updated successfully, but these errors were encountered:
#87 introduces the core algorithms, but representative sampling using class labels is currently broken.
This is probably because hnswlib filtering doesn't let us get a connected graph, and so ANN search fails. We should understand how / when this fails. There are possibly easy fixes, i.e. generating a separate index per dataset per class, or increasing the edge factor, but the real solution is to understand how to use hnsw properly in our context.
The text was updated successfully, but these errors were encountered: