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https://issues.apache.org/jira/browse/MAHOUT-1493?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14378945#comment-14378945
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ASF GitHub Bot commented on MAHOUT-1493:
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GitHub user andrewpalumbo reopened a pull request:
https://github.com/apache/mahout/pull/78
MAHOUT-1493 driver cleanup
This removes parseIndexedDatasetFormatOptions() and some other option
parsers not used by `spark-trainnb` and `spark-testnb`. There are still a
couple of options that I need to add but first want to figure out how to handle
the required `-o` option.
Currently `spark-testnb` doesn't have any actual output. I was thinking
about writing a confusion matrix as Text out to a file.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/andrewpalumbo/mahout
MAHOUT-1493-driver-cleanup
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/mahout/pull/78.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 #78
----
commit d0efc75b44b749081fbc8395f4520bc38e8babc3
Author: Andrew Palumbo <[email protected]>
Date: 2015-03-06T23:23:33Z
Remove unused parsers
commit 7a9dbb2f29d775f07b65c427da0fa029e3a4a4b5
Author: Andrew Palumbo <[email protected]>
Date: 2015-03-06T23:45:23Z
remove requirement for -o option from MahoutOptionParser
commit 02de3edb5e408aa221e6e60121ab8fca11c72133
Author: Andrew Palumbo <[email protected]>
Date: 2015-03-07T00:07:17Z
pass complementary option through to training. cleanup.
----
> 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: Andrew Palumbo
> Labels: DSL, h2o, scala
> Fix For: 0.10.0
>
> 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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