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Posted to issues@spark.apache.org by "Joseph K. Bradley (JIRA)" <ji...@apache.org> on 2014/08/07 23:01:29 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 ]

Joseph K. Bradley updated SPARK-2909:
-------------------------------------

    Summary: Indexing for SparseVector in pyspark  (was: Indexing for vectors in pyspark)

> 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
>            Priority: Minor
>
> Vectors (DenseVector and SparseVector) in pyspark do 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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