GitHub user seddonm1 opened a pull request:
https://github.com/apache/spark/pull/10976
[SPARK-5891][ML] Binarizer allowing Double AND Vector input types
This enhancement extends the existing SparkML Binarizer [SPARK-5891] to
allow Vector in addition to the existing Double input column type.
A use case for this enhancement is for when a user wants to Binarize many
similar feature columns at once using the same threshold value (for example a
binary threshold applied to many pixels in an image).
This contribution is my original work and I license the work to the project
under the project's open source license.
@viirya @mengxr
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/seddonm1/spark master
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/10976.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 #10976
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commit 3510d8d2d3d33eb0da7a9a7b1cc948fd8bb0a0ae
Author: seddonm1 <[email protected]>
Date: 2016-01-29T05:49:26Z
[SPARK-5891][ML] Binarizer allowing Double AND Vector inputs
This change extends the existing SparkML Binarizer [SPARK-5891] to allow
Vector in addition to the existing Double input columns.
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