本文整理汇总了Python中apgl.graph.SparseGraph.SparseGraph.maxProductPaths方法的典型用法代码示例。如果您正苦于以下问题：Python SparseGraph.maxProductPaths方法的具体用法？Python SparseGraph.maxProductPaths怎么用？Python SparseGraph.maxProductPaths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apgl.graph.SparseGraph.SparseGraph的用法示例。
在下文中一共展示了SparseGraph.maxProductPaths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: testGraphInfuence
# 需要导入模块: from apgl.graph.SparseGraph import SparseGraph [as 别名]
# 或者: from apgl.graph.SparseGraph.SparseGraph import maxProductPaths [as 别名]
def testGraphInfuence(self):
#We test the influence using a real graph
numVertices = 5
numFeatures = 0
vList = VertexList(numVertices, numFeatures)
sGraph = SparseGraph(vList, False)
sGraph.addEdge(0, 1, 0.1)
sGraph.addEdge(0, 2, 0.5)
sGraph.addEdge(1, 3, 0.9)
sGraph.addEdge(2, 3, 0.7)
sGraph.addEdge(2, 4, 0.8)
P = sGraph.maxProductPaths()
self.assertTrue((P[0, :] == numpy.array([0,0.1, 0.5, 0.35, 0.4])).all())
self.assertTrue((P[1, :] == numpy.array([0,0,0,0.9,0])).all())
self.assertTrue((P[2, :] == numpy.array([0,0,0,0.7,0.8])).all())
self.assertTrue((P[3, :] == numpy.array([0,0,0,0,0])).all())
self.assertTrue((P[4, :] == numpy.array([0,0,0,0,0])).all())
k = 5
influence = GreedyInfluence()
inds = influence.maxInfluence(P, k)