The following example in the scala shell worked as expected: import org.apache.flink.graph.library.LabelPropagation val verticesWithCommunity = graph.run(new LabelPropagation(30)) // print the result verticesWithCommunity.print I tried to extend the example to use CommunityDetection: import org.apache.flink.graph.library.CommunityDetection val verticesWithCommunity = graph.run(new CommunityDetection(30, 0.5)) // print the result verticesWithCommunity.print And meant the following error: error: polymorphic expression cannot be instantiated to expected type; found : [K]org.apache.flink.graph.library.CommunityDetection[K] required: org.apache.flink.graph.GraphAlgorithm[Long,String,Double,?] val verticesWithCommunity = graph.run(new CommunityDetection(30, 0.5)) ^ I haven't been able to come up with a hack to make this work. Any advice/bug? I invtestigated the code base a little, seems to be an issue with what Graph.run expects to see vs. what LabelPropagation returns vs. what CommunityDetection returns. Trevor Grant Data Scientist "Fortunate is he, who is able to know the causes of things." -Virgil |
Recall facing a similar issue while trying to contribute a gelly-scala example to flink-training. See https://github.com/dataArtisans/flink-training-exercises/blob/master/src/main/scala/com/dataartisans/flinktraining/exercises/gelly_scala/PageRankWithEdgeWeights.scalaOn Wed, Apr 27, 2016 at 11:35 AM, Trevor Grant <[hidden email]> wrote:
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Hi Trevor, note that the community detection algorithm returns a new graph where the vertex values correspond to the computed communities. Also, note that the current implementation expects a graph with java.lang.Long vertex values and java.lang.Double edge values. The following should work: import java.lang.Long import java.lang.Double ... val graph: Graph[Long, Long, Double] = ... // create your graph val resultGraph = graph.run(new CommunityDetection[Long](30, 0.5)) resultGraph.getVertices.print() Cheers, -Vasia. On 27 April 2016 at 17:41, Suneel Marthi <[hidden email]> wrote:
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