本文整理汇总了Python中workflow.Workflow.clustering方法的典型用法代码示例。如果您正苦于以下问题：Python Workflow.clustering方法的具体用法？Python Workflow.clustering怎么用？Python Workflow.clustering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workflow.Workflow的用法示例。
在下文中一共展示了Workflow.clustering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: SparkContext
# 需要导入模块: from workflow import Workflow [as 别名]
# 或者: from workflow.Workflow import clustering [as 别名]
sc = SparkContext()
data = nbl.load(args.path).get_data()[:,:,:,:100]
flow = Workflow(data, sc).extract()
op = args.operator
if op == "vb":
flow = flow.visualizeBrain()
elif op == "v":
nsamples = args.nsamples
flow = flow.visualize(nsamples=int(nsamples))
elif op == "vc":
k = args.k
flow = flow.clustering(int(k)).visualize()
elif op == "ts":
k = args.k
flow = flow.clustering(int(k))
flow.execute()
with open("model", "a+") as output:
pickle.dump(flow.last.result, output, pickle.HIGHEST_PROTOCOL)
exit("Model Saved")
elif op == "pr":
utils.predict(args.model, args.vector)
exit()
else:
exit("Operator not found")