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True, it still seems odd to encode an explicitly ordinal variable as categorical (particularly one with a small finite range, in contrast to the follower logari
by minimaxir 4y ago
True, it still seems odd to encode an explicitly ordinal variable as categorical (particularly one with a small finite range, in contrast to the follower logarithmic bucket ones), but Twitter's layout is weird enough that it could be a impactful difference in terms of engagement.
- disgruntledphd2 4y agoThis is (weirdly) common in production ML codebases written by software engineers. Like you, I have no idea why unless it's a memory optimisation (where you count 4+ as many).
- ladon86 4y agoHaving every column as a boolean (0/1) means you can treat it as a bitmap. As an (entirely fictional) example, imagine if you wanted to get the features of a thread instead of a single tweet. You could do it as a union of all the tweets: threadFeatures = tweet1 | tweet2 | tweet2
- disgruntledphd2 4y agoOk that makes lots of sense from an engineering perspective. It's pretty insane from a statistical perspective though, which I think was the original point.
- nomel 4y ago> It's pretty insane from a statistical perspective though Efficiency is way more of a concern, at this scale, than the more trivial was of trying to find a competent person that wouldn't misuse the values.