GitHub user jkbradley opened a pull request:
https://github.com/apache/spark/pull/13314
[SPARK-15457][MLLIB][ML] Eliminate some warnings from MLlib about
deprecations
## What changes were proposed in this pull request?
Several classes and methods have been deprecated and are creating lots of
build warnings in branch-2.0. This issue is to identify and fix those items:
* WithSGD classes: Change to make class not deprecated, object deprecated,
and public class constructor deprecated. Any public use will require a
deprecated API. We need to keep a non-deprecated private API since we cannot
eliminate certain uses: Python API, streaming algs, and examples.
* Use in PythonMLlibAPI: Change to using private constructors
* Streaming algs: No warnings after we un-deprecate the classes
* Examples: Deprecate or change ones which use deprecated APIs
* MulticlassMetrics fields (precision, etc.)
* LinearRegressionSummary.model field
## How was this patch tested?
Existing tests. Checked for warnings manually.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/jkbradley/spark warning-cleanups
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/13314.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 #13314
----
commit 83d59b8afaf78188cce22a81b593ad0903f562dd
Author: Sean Owen <[email protected]>
Date: 2016-05-21T19:34:46Z
Use MulticlassMetrics.accuracy instead of deprecated precision, recall,
fMeasure
commit cae67d69167ac61f5550eb1321e3b98bc40c911d
Author: Joseph K. Bradley <[email protected]>
Date: 2016-05-26T00:36:29Z
Fixed many MLlib warnings, but not all of those in test suites
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