Yes, don't think about that stuff. Let's say we have x and y. Why sum(x) / sum(y) or avg(x) / avg(y) is different from avg(x / y)?
Yes, don't think about that stuff. Let's say we have x and y. Why sum(x) / sum(y) or avg(x) / avg(y) is different from avg(x / y)?
The last method now seems goofy but why is it right or wrong? And is the difference just a rounding error or avg (x / y) calculates something different?
Yes, don't think about that stuff. Let's say we have x and y. Why sum(x) / sum(y) or avg(x) / avg(y) is different from avg(x / y)?
But method 3 gives equal weight to the tasks no matter how quickly or slowly they run. So you get 18.333 c/h.
but depending on what you want to achieve, if you want a more robust statistic you could possibly use the medians instead, or even truncated means to chuck out outliers.
As for the problem with the car above, the answer isn't as simple as I thought http://en.wikipedia.org/wiki/Harmonic_mean#In_physics
Well, I guess we need a professional statistician :D
I do plain linear regression. mainly to prove that credit new is not linear ;D
0.188 credit/second on beta with some flavour of x37.
I do plain linear regression. mainly to prove that credit new is not linear ;D
0.188 credit/second on beta with some flavour of x37.
I have thousands of data if you want help.
What method do you use for credit/sec?
Sample
Device0 = GTX295 Core1 1254
Device1 = GTX295 Core2 1242
Device2 = GTX285 1490
Remember the runtime and credit awarded might be from your wingman's result, and not your's,
Claggy
Aspecially if you're running anonymous platform,Remember the runtime and credit awarded might be from your wingman's result, and not your's,
Claggy
? ? ? ? ? ? ? ? ? ?
What do you mean? That credit is decided with accordance to your wingman? Everyone knows and accepts that.You'll have to have a read of NewCredit (http://boinc.berkeley.edu/trac/wiki/CreditNew) and try and understand it, i don't fully understand it myself, let alone anyone else,