Apache Spark reassigned SPARK-17950:

    Assignee: Apache Spark

> 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
>            Assignee: Apache Spark
>            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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