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Hi Team,
Thanks for sharing the great work!
I've noticed in offcehome_run.py, CSDA is not provided.
Domain-Consensus-Clustering/offcehome_run.py
Line 28 in 5a626e1
elif config.setting=='cda': config.cls_share = 65 config.cls_src = 0 config.cls_total = 65
I noticed there is a huge gap between the result and paper you reported in support material Table C. here is the result I've got: Ar->Pr[best]: 0.6168955022899004 0.6168955022899004 [H-Score]: 0.0 0.0 0.0 0.0 0.0 Ar->Pr[last]: 0.3347919933497906 0.3347919933497906 [H-Score]: 0.0 0.0 0.0 Ar->Cl[best]: 0.4183573762957866 0.4183573762957866 [H-Score]: 0.0 0.0 0.0 0.0 0.0 Ar->Cl[last]: 0.3801841050529709 0.3801841050529709 [H-Score]: 0.0 0.0 0.0 Ar->Re[best]: 0.6801177620887756 0.6801177620887756 [H-Score]: 0.0 0.0 0.0 0.0 0.0 Ar->Re[last]: 0.6801177620887756 0.6801177620887756 [H-Score]: 0.0 0.0 0.0 Pr->Ar[best]: 0.4206200426587692 0.4206200426587692 [H-Score]: 0.0 0.0 0.0 0.0 0.0 Pr->Ar[last]: 0.3828089099090833 0.3828089099090833 [H-Score]: 0.0 0.0 0.0 Pr->Cl[best]: 0.3435283417598559 0.3435283417598559 [H-Score]: 0.0 0.0 0.0 0.0 0.0 Pr->Cl[last]: 0.29526575485674234 0.29526575485674234 [H-Score]: 0.0 0.0 0.0 Pr->Re[best]: 0.6622800114636238 0.6622800114636238 [H-Score]: 0.0 0.0 0.0 0.0 0.0 Pr->Re[last]: 0.6590736272243353 0.6590736272243353 [H-Score]: 0.0 0.0 0.0 Cl->Ar[best]: 0.44268233615618485 0.44268233615618485 [H-Score]: 0.0 0.0 0.0 0.0 0.0 Cl->Ar[last]: 0.32432382525159764 0.32432382525159764 [H-Score]: 0.0 0.0 0.0 Cl->Pr[best]: 0.5993400445924355 0.5993400445924355 [H-Score]: 0.0 0.0 0.0 0.0 0.0 Cl->Pr[last]: 0.5993400445924355 0.5993400445924355 [H-Score]: 0.0 0.0 0.0 Cl->Re[best]: 0.5868140732009823 0.5868140732009823 [H-Score]: 0.0 0.0 0.0 0.0 0.0 Cl->Re[last]: 0.5521672795311763 0.5521672795311763 [H-Score]: 0.0 0.0 0.0 Re->Ar[best]: 0.5438899568067147 0.5438899568067147 [H-Score]: 0.0 0.0 0.0 0.0 0.0 Re->Ar[last]: 0.48911217634494486 0.48911217634494486 [H-Score]: 0.0 0.0 0.0 Re->Pr[best]: 0.7569770986070999 0.7569770986070999 [H-Score]: 0.0 0.0 0.0 0.0 0.0 Re->Pr[last]: 0.7569770986070999 0.7569770986070999 [H-Score]: 0.0 0.0 0.0 Re->Cl[best]: 0.44347345402034427 0.44347345402034427 [H-Score]: 0.0 0.0 0.0 0.0 0.0 Re->Cl[last]: 0.44347345402034427 0.44347345402034427 [H-Score]: 0.0 0.0 0.0
And here is result in the SM you've reported:
Except for this CSDA experiments, the other experiments go well, though a little unstable.
The text was updated successfully, but these errors were encountered:
And in SM, you've noticed table C twice as OSDA and CSDA. Could you please confirm which set is table C?
Sorry, something went wrong.
Hi, I also don't reproduce in the other setting. Do you reproduce the UDA setting? The gap is large.
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Hi Team,
Thanks for sharing the great work!
I've noticed in offcehome_run.py, CSDA is not provided.
Domain-Consensus-Clustering/offcehome_run.py
Line 28 in 5a626e1
After I added:
elif config.setting=='cda': config.cls_share = 65 config.cls_src = 0 config.cls_total = 65
I noticed there is a huge gap between the result and paper you reported in support material Table C.
here is the result I've got:
Ar->Pr[best]: 0.6168955022899004 0.6168955022899004 [H-Score]: 0.0 0.0 0.0 0.0 0.0
Ar->Pr[last]: 0.3347919933497906 0.3347919933497906 [H-Score]: 0.0 0.0 0.0
Ar->Cl[best]: 0.4183573762957866 0.4183573762957866 [H-Score]: 0.0 0.0 0.0 0.0 0.0
Ar->Cl[last]: 0.3801841050529709 0.3801841050529709 [H-Score]: 0.0 0.0 0.0
Ar->Re[best]: 0.6801177620887756 0.6801177620887756 [H-Score]: 0.0 0.0 0.0 0.0 0.0
Ar->Re[last]: 0.6801177620887756 0.6801177620887756 [H-Score]: 0.0 0.0 0.0
Pr->Ar[best]: 0.4206200426587692 0.4206200426587692 [H-Score]: 0.0 0.0 0.0 0.0 0.0
Pr->Ar[last]: 0.3828089099090833 0.3828089099090833 [H-Score]: 0.0 0.0 0.0
Pr->Cl[best]: 0.3435283417598559 0.3435283417598559 [H-Score]: 0.0 0.0 0.0 0.0 0.0
Pr->Cl[last]: 0.29526575485674234 0.29526575485674234 [H-Score]: 0.0 0.0 0.0
Pr->Re[best]: 0.6622800114636238 0.6622800114636238 [H-Score]: 0.0 0.0 0.0 0.0 0.0
Pr->Re[last]: 0.6590736272243353 0.6590736272243353 [H-Score]: 0.0 0.0 0.0
Cl->Ar[best]: 0.44268233615618485 0.44268233615618485 [H-Score]: 0.0 0.0 0.0 0.0 0.0
Cl->Ar[last]: 0.32432382525159764 0.32432382525159764 [H-Score]: 0.0 0.0 0.0
Cl->Pr[best]: 0.5993400445924355 0.5993400445924355 [H-Score]: 0.0 0.0 0.0 0.0 0.0
Cl->Pr[last]: 0.5993400445924355 0.5993400445924355 [H-Score]: 0.0 0.0 0.0
Cl->Re[best]: 0.5868140732009823 0.5868140732009823 [H-Score]: 0.0 0.0 0.0 0.0 0.0
Cl->Re[last]: 0.5521672795311763 0.5521672795311763 [H-Score]: 0.0 0.0 0.0
Re->Ar[best]: 0.5438899568067147 0.5438899568067147 [H-Score]: 0.0 0.0 0.0 0.0 0.0
Re->Ar[last]: 0.48911217634494486 0.48911217634494486 [H-Score]: 0.0 0.0 0.0
Re->Pr[best]: 0.7569770986070999 0.7569770986070999 [H-Score]: 0.0 0.0 0.0 0.0 0.0
Re->Pr[last]: 0.7569770986070999 0.7569770986070999 [H-Score]: 0.0 0.0 0.0
Re->Cl[best]: 0.44347345402034427 0.44347345402034427 [H-Score]: 0.0 0.0 0.0 0.0 0.0
Re->Cl[last]: 0.44347345402034427 0.44347345402034427 [H-Score]: 0.0 0.0 0.0
And here is result in the SM you've reported:
![image](https://user-images.githubusercontent.com/39040979/165216397-9981c056-38e8-4716-a596-7360a921a634.png)
Except for this CSDA experiments, the other experiments go well, though a little unstable.
The text was updated successfully, but these errors were encountered: