本文整理汇总了Python中Network.apply_threshold方法的典型用法代码示例。如果您正苦于以下问题：Python Network.apply_threshold方法的具体用法？Python Network.apply_threshold怎么用？Python Network.apply_threshold使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类Network的用法示例。
在下文中一共展示了Network.apply_threshold方法的1个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: ConvexOptimization
# 需要导入模块: import Network [as 别名]
# 或者: from Network import apply_threshold [as 别名]
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()