[jira] [Created] (MAHOUT-1896) Add convenience methods for interacting with Spark ML

Discussion:

Trevor Grant (JIRA)

2016-12-15 22:50:58 UTC

Trevor Grant created MAHOUT-1896:
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Summary: 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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ASF GitHub Bot (JIRA)

2016-12-15 23:07:59 UTC

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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

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commit a70560edd11703aeabd5db224e79816437eeb3ce
Author: rawkintrevo <***@gmail.com>
Date: 2016-12-15T22:40:14Z

Added drmWrapMLlibLabledPointWrap and drmWrapDataFrame

commit fb89247a22ddaad54a0cee13a13bcfe7a8557d88
Author: rawkintrevo <***@gmail.com>
Date: 2016-12-15T23:02:39Z

Added drmWrapMLLibVector

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Post by Trevor Grant (JIRA)
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.