Talk:Tenney–Euclidean tuning: Difference between revisions

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 ::: Sorry, I know that's a lot, but hopefully it might help things click for some people. I can say, that in my personal case, the name "TE-weighted" has been causing me months of flailing agony basically until I was finally able to put all these insights together at once to see what was off about it. But of course maybe I’ve still got something wrong, or there are other good ways to think about it that I don’t see yet. --[[User:Cmloegcmluin|Cmloegcmluin]] ([[User talk:Cmloegcmluin|talk]]) 06:33, 27 January 2022 (UTC)
+:::More related thoughts:
+:::We don’t weight intervals. We don’t weight errors.
+:::We weight primes, when optimizing.
+:::So when someone says “TE norm” okay that’s perfectly fine. But it’s not a TE-‘’weighted'’ interval just because it’s divided by that norm. That’s an abuse of the word “weight”. Weighting is about importance in an optimizer’s priorities, not about an increase or decrease of size of error or interval.
+:::So I take back one thing I said just above: you ‘’could’’ call it “TE-normed error/tuning” I suppose. Because “Tenney” isn’t bound to weight in the same way that “Euclidean” is bound to norm. Tenney just means divide by log of prime. So in that context it is being used for norm, not a weight. —-[[User:Cmloegcmluin|Cmloegcmluin]] ([[User talk:Cmloegcmluin|talk]]) 08:14, 27 January 2022 (UTC)