GitHub user bravo-zhang opened a pull request:
https://github.com/apache/spark/pull/18898
[SPARK-21245][ML] Resolve code duplication for classification/regression
summarizers
## Why the change?
In several places (LogReg, LinReg, SVC) in Spark ML, we collect summary
information about training data using `MultivariateOnlineSummarizer` and
`MulticlassSummarizer`. We have the same code appearing in several places
(including test suites). We can eliminate this by creating a common
implementation.
## What changes were proposed in this pull request?
1. A new class `ml.stat.Summarizers.scala` with `def
getRegressionSummarizers` and `def getClassificationSummarizers` that provides
a pair of feature and label summarizers.
This centralizes the duplicated code in: `LinearRegression`, `LinearSVC`,
`LogisticRegression` and `DifferentiableLossAggregatorSuite`.
2. Moves `MultiClassSummarizer.scala`(and testSuite) out of
`LogisticRegression.scala` to new file `ml.stat.MultiClassSummarizer.scala`,
because it is also used by `LinearSVC` and can be generalized.
## How was this patch tested?
`ml.stat.SummarizersSuite.scala`
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/bravo-zhang/spark spark-21245
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/18898.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 #18898
----
commit 1f5209f7e40c520e1c6b6b5943ef87fde7d5b254
Author: bravo-zhang <mzhang1...@gmail.com>
Date: 2017-08-09T16:05:23Z
Resolve code duplication for classification/regression summarizers
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