Hi SimMS Teams,
I met an issue when I trying to use MatchMS and SimMS, the code here
scores = calculate_scores(sp_list, sp_list, CudaCosineGreedy())
selected_scores = scores.scores_by_query(sp_list[-1], 'CudaCosineGreedy_score', sort=True)
print([float(x[1][0].round(3)) for x in selected_scores])
the result is a list:
[0.0010000000474974513, 0.0010000000474974513, 0.0010000000474974513, 0.0010000000474974513, 0.0010000000474974513.....]
But when I use CosineGreedy function in the same code:
scores = calculate_scores(sp_list, sp_list1, CosineGreedy())
selected_scores = scores.scores_by_query(sp_list[-1], 'CosineGreedy_score', sort=True)
print([float(x[1][0].round(3)) for x in selected_scores])
the result is a lit:
[1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0......]
I believe the CosineGreedy result is correct as the sp_list just include ONE same spectrum so the compare score should be 1.0.
Any Comments?
Thanks,
LV.
Hi SimMS Teams,
I met an issue when I trying to use MatchMS and SimMS, the code here
scores = calculate_scores(sp_list, sp_list, CudaCosineGreedy())
selected_scores = scores.scores_by_query(sp_list[-1], 'CudaCosineGreedy_score', sort=True)
print([float(x[1][0].round(3)) for x in selected_scores])
the result is a list:
[0.0010000000474974513, 0.0010000000474974513, 0.0010000000474974513, 0.0010000000474974513, 0.0010000000474974513.....]
But when I use CosineGreedy function in the same code:
scores = calculate_scores(sp_list, sp_list1, CosineGreedy())
selected_scores = scores.scores_by_query(sp_list[-1], 'CosineGreedy_score', sort=True)
print([float(x[1][0].round(3)) for x in selected_scores])
the result is a lit:
[1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0......]
I believe the CosineGreedy result is correct as the sp_list just include ONE same spectrum so the compare score should be 1.0.
Any Comments?
Thanks,
LV.