jensenShannonDivergence

CommonType!(ElementType!Range1,  ElementType!Range2) jensenShannonDivergence(Range1,  Range2)(Range1 a,  Range2 b) if (isInputRange!Range1 &&  isInputRange!Range2 &&
     is(CommonType!(ElementType!Range1,  ElementType!Range2)))

Computes the Jensen-Shannon divergence between a and b, which is the sum (ai log(2 ai / (ai + bi)) + bi log(2 bi / (ai + bi))) / 2. The base of logarithm is 2. The ranges are assumed to contain elements in [0, 1]. Usually the ranges are normalized probability distributions, but this is not required or checked by jensenShannonDivergence. If the inputs are normalized, the result is bounded within [0, 1]. The three-parameter version stops evaluations as soon as the intermediate result is greater than or equal to limit.

CommonType!(ElementType!Range1,  ElementType!Range2) jensenShannonDivergence(Range1,  Range2,  F)(Range1 a,  Range2 b,  F limit) if (isInputRange!Range1 &&  isInputRange!Range2 &&
     is(typeof(CommonType!(ElementType!Range1,  ElementType!Range2).init
    >=  F.init) :  bool))

Ditto