def memberVarience(population, alpha):
diffSum = 0.0
for member in population:
mg = Network.vectorizeMatrix(member.genome)
ag = Network.vectorizeMatrix(alpha.genome)
diffSum = diffSum + Network.outputError(mg, ag)
return diffSum / len(population)
def avgSigma(population):
sigSum = 0.0
sigCount = 0
for member in population:
ms = Network.vectorizeMatrix(member.sigmas)
for singleSigma in ms:
sigSum = sigSum + singleSigma
sigCount = sigCount + 1
return sigSum / sigCount
