In preparation for the Economics team sync, it would be useful for them to be able to run the algorithm in semi-automation, i.e. by feeding real-world data while being able to tweak different parameters like:
[x] Seed set
[ ] Initial random seed / entropy
[x] Algorithm type (i.e. naive or incremental)
[x] Hyperparams
Ideally the output of this would be a .csv file containing the final osrank, so that it can be then post-processed and analysed.
adinapoli-mndc
commented
5 years ago
In preparation for the Economics team sync, it would be useful for them to be able to run the algorithm in semi-automation, i.e. by feeding real-world data while being able to tweak different parameters like:
Ideally the output of this would be a
.csvfile containing the final osrank, so that it can be then post-processed and analysed.