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https://issues.apache.org/jira/browse/MAHOUT-1896?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15752790#comment-15752790
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ASF GitHub Bot commented on MAHOUT-1896:
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GitHub user rawkintrevo opened a pull request:
https://github.com/apache/mahout/pull/263
[MAHOUT-1896][WIP] Add convenience methods for interacting with Spark ML
Currently the method for ingesting RDDs to DRM is `drmWrap`. This is a
flexible method, however there are many cases when the RDD to be wrapped is
either RDD[org.apache.spark.mllib.lingalg.Vector],
RDD[org.apache.spark.mllib.regression.LabeledPoint], or DataFrame[Row] (as is
the case when working with SparkML. It makes sense to create convenience
methods for converting these types to DRM.
* [x] Add `drmWrapMLLibLabeledPoint`
* [x] Add `drmWrapDataFrame`
* [x] Add `drmWrapMLLibVector`
* [ ] Tests
* [ ] Scala Docs
Minor improvement
[Relevent JIRA
MAHOUT-1896](https://issues.apache.org/jira/browse/MAHOUT-1896)
Requires no license updates
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/rawkintrevo/mahout mahout-1896
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/mahout/pull/263.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 #263
----
commit a70560edd11703aeabd5db224e79816437eeb3ce
Author: rawkintrevo <[email protected]>
Date: 2016-12-15T22:40:14Z
Added drmWrapMLlibLabledPointWrap and drmWrapDataFrame
commit fb89247a22ddaad54a0cee13a13bcfe7a8557d88
Author: rawkintrevo <[email protected]>
Date: 2016-12-15T23:02:39Z
Added drmWrapMLLibVector
----
> Add convenience methods for interacting with Spark ML
> -----------------------------------------------------
>
> Key: MAHOUT-1896
> URL: https://issues.apache.org/jira/browse/MAHOUT-1896
> Project: Mahout
> Issue Type: Bug
> Reporter: Trevor Grant
> Priority: Minor
>
> Currently the method for ingesting RDDs to DRM is `drmWrap`. This is a
> flexible method, however there are many cases when the RDD to be wrapped is
> either RDD[org.apache.spark.mllib.lingalg.Vector],
> RDD[org.apache.spark.mllib.regression.LabeledPoint], or DataFrame[Row] (as is
> the case when working with SparkML. It makes sense to create convenience
> methods for converting these types to DRM.
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