def fpr(tuples, id_func=None):
reses, counts = di.listify(tuples, 2)
total = sum(counts)
den = nC2(total)
print total
num = sum([nC2(c) for c in counts])
return float(num) / float(den)
def entropy(tuples, id_func=None):
reses, counts = di.listify(tuples, 2)
total = float(sum(counts))
ent = sum([surprisal(float(c), total) * c / total for c in counts])
return ent
def prop_gt10(tuples, id_func=None): # prop_gt10
reses, counts = di.listify(tuples, 2)
result = 1. - prop_lesseq(counts, 10)
return result
def prop_less10(tuples, id_func=None):
reses, counts = di.listify(tuples, 2)
result = prop_lesseq(counts, 10)
return result
def max_anon(tuples, id_func=None):
reses, counts = di.listify(tuples, 2)
return max(counts)