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https://issues.apache.org/jira/browse/SPARK-9003?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14623702#comment-14623702
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Sean Owen commented on SPARK-9003:
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I think the idea was that this is not supposed to become yet another
vector/matrix library, and that you can manipulate the underlying breeze vector
if needed. I don't know how strong that convention is. The use case you show
doesn't really benefit except for maybe saving a method call; is there a case
where this would be a bigger win?
> Add map/update function to MLlib/Vector
> ---------------------------------------
>
> Key: SPARK-9003
> URL: https://issues.apache.org/jira/browse/SPARK-9003
> Project: Spark
> Issue Type: Improvement
> Components: MLlib
> Reporter: Yanbo Liang
> Priority: Minor
>
> MLlib/Vector is short of map/update function which is inconvenience for some
> Vector operations.
> For example:
> val a = Vectors.dense(...)
> If we want to compute math.log for each elements of a and get Vector as
> return value, we can only code as:
> val b = Vectors.dense(a.toArray.map(math.log))
> The code snippet is not elegant, we want it can implement:
> val c = a.map(math.log)
> Also currently MLlib/Matrix has implemented map/update function. I think
> Vector should also has map/update.
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