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https://issues.apache.org/jira/browse/SPARK-5962?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiangrui Meng resolved SPARK-5962.
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Resolution: Fixed
Fix Version/s: 1.5.0
Issue resolved by pull request 6992
[https://github.com/apache/spark/pull/6992]
> [MLLIB] Python support for Power Iteration Clustering
> -----------------------------------------------------
>
> Key: SPARK-5962
> URL: https://issues.apache.org/jira/browse/SPARK-5962
> Project: Spark
> Issue Type: New Feature
> Components: MLlib
> Reporter: Stephen Boesch
> Assignee: Yanbo Liang
> Labels: python
> Fix For: 1.5.0
>
> Original Estimate: 168h
> Remaining Estimate: 168h
>
> Add python support for the Power Iteration Clustering feature. Here is a
> fragment of the python API as we plan to implement it:
> /**
> * Java stub for Python mllib PowerIterationClustering.run()
> */
> def trainPowerIterationClusteringModel(
> data: JavaRDD[(java.lang.Long, java.lang.Long, java.lang.Double)],
> k: Int,
> maxIterations: Int,
> runs: Int,
> initializationMode: String,
> seed: java.lang.Long): PowerIterationClusteringModel = {
> val picAlg = new PowerIterationClustering()
> .setK(k)
> .setMaxIterations(maxIterations)
> try {
> picAlg.run(data.rdd.persist(StorageLevel.MEMORY_AND_DISK))
> } finally {
> data.rdd.unpersist(blocking = false)
> }
> }
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