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There is now a function getArgumentScores in argumentScoreHandler. I've tested this locally, and it seems to work fine. It will only return scores for arguments which have enough data, otherwise it won't return anything. It also has to infer what the arguments are from the collection of reactions, so obviously if an argument was never reacted on, it won't be included in the output.
Changes to packages should all be related to tensorflow, which is used to compute user similarity.