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https://issues.apache.org/jira/browse/MAHOUT-1493?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14091351#comment-14091351
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ASF GitHub Bot commented on MAHOUT-1493:
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Github user andrewpalumbo commented on the pull request:
https://github.com/apache/mahout/pull/32#issuecomment-51662654
I made most of the changes from Dmitriy's comments. I've done some
(hackish) work here just to get this in the right package, compiling and and
testing. Changed the Array[DrmLike] to DrmLike for the sparse feature input
(for now). This is very basic and assumes that each row correspnds to a unique
label. The only real engine specific DRM work right now is done in:
val weightsPerFeature = observationsPerLabel.colSums
I've added a Spark test suite with a test for a skeleton NB model. Tests
pass here on Spark. I've also added an h2o test suite on my MAHOUT-1493-1500
branch with relativly minimal effort (had to make a few dependency changes to
the h20/pom.xml). h2o tests pass.
Obviously there is still a lot of work to do here and it won't be ready to
merge anytime soon, so I'll leave this PR open for a little while in case
anybody's interested and then close it until i have some more work done on it
as to not clog up the PR page.
> Port Naive Bayes to the Spark DSL
> ---------------------------------
>
> Key: MAHOUT-1493
> URL: https://issues.apache.org/jira/browse/MAHOUT-1493
> Project: Mahout
> Issue Type: Bug
> Components: Classification
> Reporter: Sebastian Schelter
> Assignee: Sebastian Schelter
> Fix For: 1.0
>
> Attachments: MAHOUT-1493.patch, MAHOUT-1493.patch, MAHOUT-1493.patch,
> MAHOUT-1493.patch, MAHOUT-1493a.patch
>
>
> Port our Naive Bayes implementation to the new spark dsl. Shouldn't require
> more than a few lines of code.
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