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https://issues.apache.org/jira/browse/SPARK-17950?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15576991#comment-15576991
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Apache Spark commented on SPARK-17950:
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User 'itg-abby' has created a pull request for this issue:
https://github.com/apache/spark/pull/15496
> Match SparseVector behavior with DenseVector
> --------------------------------------------
>
> Key: SPARK-17950
> URL: https://issues.apache.org/jira/browse/SPARK-17950
> Project: Spark
> Issue Type: Improvement
> Components: MLlib, PySpark
> Affects Versions: 2.0.1
> Reporter: AbderRahman Sobh
> Priority: Minor
> Original Estimate: 0h
> Remaining Estimate: 0h
>
> Simply added the `__getattr__` to SparseVector that DenseVector has, but
> calls self.toArray() instead of storing a vector all the time in self.array
> This allows for use of numpy functions on the values of a SparseVector in the
> same direct way that users interact with DenseVectors.
> i.e. you can simply call SparseVector.mean() to average the values in the
> entire vector.
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