GitHub user sethah opened a pull request:
https://github.com/apache/spark/pull/18305
[SPARK-20988][ML] Logistic regression uses aggregator hierarchy
## What changes were proposed in this pull request?
This change pulls the `LogisticAggregator` class out of
LogisticRegression.scala and makes it extend `DifferentiableLossAggregator`. It
also changes logistic regression to use the generic `RDDLossFunction` instead
of having its own.
Other minor changes:
* L2Regularization accepts `Option[Int => Double]` for features standard
deviation
* L2Regularization uses `Vector` type instead of Array
* Some tests added to LeastSquaresAggregator
## How was this patch tested?
Unit test suites are added.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/sethah/spark SPARK-20988
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/18305.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 #18305
----
commit 64c1d8ba26a4cf852efb09485526364323b26eb3
Author: sethah <[email protected]>
Date: 2017-06-05T20:40:41Z
tests pass
commit a5b18c22a68418c29a13aab7a1fd00eec5176658
Author: sethah <[email protected]>
Date: 2017-06-14T05:57:19Z
passing tests, added tests to leastsquares agg
commit 6edd12893a255c1f44416a16e42c6ef79edc8f36
Author: sethah <[email protected]>
Date: 2017-06-14T18:26:49Z
style checker
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