Closed g-hrafiq closed 6 years ago
Hi @g-hrafiq , I think you could use the method ilsr_pairwise_dense
for this. I haven't tested it, but I think it should work if you pass it a matrix of probabilities (i.e. "counts" between 0 and 1).
Hope it helps. Let me know otherwise!
Hi Author,
I came down to this library from the Stackoverflow question that you have answered at https://datascience.stackexchange.com/questions/18828/from-pairwise-comparisons-to-ranking-python .
I have probabilities for each pairwise comparison, can that also go as input to any of the lsr_pairwise / ilsr_pairwise methods ? Example, let's say probabilities coming from a pairwise classifier trained separately.
Thanks, Hasan