GitHub user itg-abby reopened a pull request:
https://github.com/apache/spark/pull/15496
[SPARK-17950] [Python] Match SparseVector behavior with DenseVector
## What changes were proposed in this pull request?
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.
## How was this patch tested?
Manual testing on local machine.
Passed ./dev/run-tests
No UI changes.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/itg-abby/spark patch-2
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/15496.patch
To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:
This closes #15496
----
commit d9b6ecc9c7aaebf834556797404ff783fef44dcf
Author: itg-abby <abbys...@gmail.com>
Date: 2016-10-15T00:03:08Z
Match SparseVector behavior with DenseVector
<< What changes were proposed in this pull request? >>
Simply added the __getattr__ to SparseVector that DenseVector has, but
calls to 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.
<<How was this patch tested?>>
Manual testing on local machine.
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