Leland McInnes
Leland McInnes
I admit that the validity index has never been that high on my priority list, so I haven't looked into this in any real detail. It is certainly related to...
Nothing obvious leaps to mind. Can you give a small test case or specific example?
I'll try to look into this when I get some time.
It is highly likely that the cause of the change is clustering result is related to [this patch](https://github.com/scikit-learn-contrib/hdbscan/commit/5425cd2a3c7a13a9f5ed82a25e896fff4a6e521c) which fixed a small but long standing bug to bring certain Boruvka...
Approximate prediction is really geared more toward a streaming situation. The performance described is a little disconcerting, but I don't know of any obvious reasons for it. It is, admittedly,...
I think I need a little more information. Can you post the full stack trace that occurs at the error? Or possibly share the dataset that is failing?
Is it possible that your feature vectors are all integer valued? Can you try casting it to float64? e.g. ``` clusters_hdb = hdb.fit_predict(feature_vects.astype(np.float64)) ``` Let me know if that works....
Sorry about that -- it fell off my radar. Should be fixed now, and I'll try to get a new pip package out soon to remedy the problem globally. Thanks...
I'll see if I can hunt that down. Sorry about the issue, but I'm glad that at least casting can provide a workaround for now.
That's a little disconcerting. I'll see if I can track down where things are getting reversed - -I suspect there is some duplicated/copy-paste code on my part that got updated...