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Posted to issues@spark.apache.org by "Xiangrui Meng (JIRA)" <ji...@apache.org> on 2015/01/14 20:04:35 UTC

[jira] [Updated] (SPARK-2909) Indexing for SparseVector in pyspark

     [ https://issues.apache.org/jira/browse/SPARK-2909?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Xiangrui Meng updated SPARK-2909:
---------------------------------
    Assignee: Manoj Kumar

> Indexing for SparseVector in pyspark
> ------------------------------------
>
>                 Key: SPARK-2909
>                 URL: https://issues.apache.org/jira/browse/SPARK-2909
>             Project: Spark
>          Issue Type: Improvement
>          Components: MLlib, PySpark
>            Reporter: Joseph K. Bradley
>            Assignee: Manoj Kumar
>            Priority: Minor
>             Fix For: 1.3.0
>
>
> SparseVector in pyspark does not currently support indexing, except by examining the internal representation.  Though indexing is a pricy operation, it would be useful for, e.g., iterating through a dataset (RDD[LabeledPoint]) and operating on a single feature.



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