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I am trying to figure out the matched records -- I understand it is species-wise MSA matching. (some may include padded MSA)
core.py has the following code (lines 601-602):
list_idx.append(
DCN(torch.einsum("pq,p->q", (gs_matching_mat, target_idx)))
)
During training I see the display (enclosed screen shot). - for two species. One with 2 MSA, another with 25.
I have also enclosed a screen shot of shuffled index (for the last 3 iterations of the training)
Question: Species X has 2 (MSA) seqs. Species Y has 25 seqs. How do I figure which of the 25 seq from chain A (left) got matched to the 25 seq in chain B (right) of Species Y? (I assume the MSA sequences for each species are numbered 0 per the original MSA dataset) Thank you
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