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
This permutation is there only because of the way I evaluate the predicted ranking of edges. When I know the true network, I typically evaluate the predicted ranking by computing the area under the precision-recall curve (AUPR). Given the way I compute this AUPR in practice, I would get an AUPR that is over-estimated if I throw away the edges with score 0.
What is the reasoning behind randomly permuting the edges with score 0 in
get_link_list
?dynGENIE3/dynGENIE3_python/dynGENIE3.py
Line 111 in ce8a35a
Does it make sense to simply throw these edges away?
The text was updated successfully, but these errors were encountered: