[jira] [Assigned] (SPARK-5962) [MLLIB] Python support for Power Iteration Clustering

["Apache Spark (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-5962?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Apache Spark reassigned SPARK-5962:
-----------------------------------

    Assignee: Apache Spark  (was: Stephen Boesch)

> [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: Apache Spark
>              Labels: python
>   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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