GitHub user WeichenXu123 opened a pull request:
https://github.com/apache/spark/pull/14950
[SPARK-17390][ML][MLLib] Optimize MultivariantOnlineSummerizer by making
the summarized target configurable
## What changes were proposed in this pull request?
add a mask parameter to `MultivariantOnlineSummerizer` constructor.
it can be the following values now:
meanMask
varianceMask
minMask
maxMask
numNonZerosMask
so that we can config the summarized targets in the following way:
`new MultivariantOnlineSummerizer(meanMask|varianceMask)`
it represent this summarizer will only compute mean and variance.
## How was this patch tested?
unit test added.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/WeichenXu123/spark
optimize_MultivariantOnlineSummerizer
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/14950.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 #14950
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commit 834bce992bf89e6e2e5886e6ab9e34c3752d8af4
Author: WeichenXu <[email protected]>
Date: 2016-09-01T01:41:03Z
update.
commit dc44bb974f3969ab70032e947dd9e06b87e317db
Author: WeichenXu <[email protected]>
Date: 2016-09-02T19:56:25Z
update
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