Is org.apache.mahout.classifier.naivebayes also based on that one? I
thought it was only relevant for org.apache.mahout.classifier.bayes?
On 28.06.2011 23:58, Ted Dunning wrote:
See here:
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.13.8572&rank=1
On Tue, Jun 28, 2011 at 2:43 PM, Sebastian Schelter (JIRA)
<[email protected]>wrote:
[
https://issues.apache.org/jira/browse/MAHOUT-746?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13056805#comment-13056805]
Sebastian Schelter commented on MAHOUT-746:
-------------------------------------------
Thank you very much, Sean.
I wonder whether there is some article/paper that describes this particular
approach of implementing Naive Bayes? A colleague of mine with a much deeper
statistics background and me took a look at the details of the computation
today and we were left with some open questions.
Refactoring of the parallel Naive Bayes implementation in
org.apache.mahout.classifier.naivebayes
-------------------------------------------------------------------------------------------------
Key: MAHOUT-746
URL: https://issues.apache.org/jira/browse/MAHOUT-746
Project: Mahout
Issue Type: Improvement
Components: Classification
Affects Versions: 0.6
Reporter: Sebastian Schelter
Assignee: Sebastian Schelter
Fix For: 0.6
Attachments: MAHOUT-746.patch
I refactored the code in org.apache.mahout.classifier.naivebayes to
extend AbstractJob, decoupled the model serialization from the job output,
extracted trainer classes and tried to clarify naming and reduce code
complexity. I also added tests for the training M/R code as well as a toy
integration test.
It would be great if someone could review my patch to make sure I didn't
break anything.
--
This message is automatically generated by JIRA.
For more information on JIRA, see: http://www.atlassian.com/software/jira
