cojob = ConvexOptimization()
cojob.setup(knockout_storage, settings, "MCZ-DFG_Test_Top_{0}_Edges".format(i), job.alg.network)
jobman.queueJob(cojob)
jobman.runQueue()
jobman.waitToClear()
rocs = []
accs.append("Convex Opt + MCZ prior:")
for job in jobman.finished:
jobnet = job.alg.network
print "PREDICTED NETWORK:"
print jobnet.network
print "GOLDEN NETWORK:"
print goldnet.network
job.alg.save()
rocs.append(GenerateROC(jobnet, goldnet))
threshnet = Network(jobnet)
threshnet.network = threshnet.apply_threshold(0)
accs.append(threshnet.calculateAccuracy(goldnet))
#print jobnet.analyzeMotifs(goldnet).ToString()
PlotMultipleROC(rocs, 'ConvexOpt + MCZ')
for row in accs:
print row
print "AOCS"
for r in rocs:
print r.auc()
