Created
March 24, 2013 02:14
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The confidence sort algorithm is implemented in _sorts.pyx, I have rewritten their Pyrex implementation into pure Python (do also note that I have removed their caching optimization)
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#Rewritten code from /r2/r2/lib/db/_sorts.pyx | |
from math import sqrt | |
def _confidence(ups, downs): | |
n = ups + downs | |
if n == 0: | |
return 0 | |
z = 1.0 #1.0 = 85%, 1.6 = 95% | |
phat = float(ups) / n | |
return sqrt(phat+z*z/(2*n)-z*((phat*(1-phat)+z*z/(4*n))/n))/(1+z*z/n) | |
def confidence(ups, downs): | |
if ups + downs == 0: | |
return 0 | |
else: | |
return _confidence(ups, downs) |
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quick note (little time): The
sqrt
should only be over the 3rd term. In your line 13, it's over all three terms. You're doing it correctly in sorts.py though.