Just to clarify things a little bit:
The Lucene PMC is the appropriate PMC that makes decisions about
committers. While there isn't any explicit rules on becoming a
committer, the criteria is generally:
1) Active participant in the community, both patch-wise and
discussion-wise for some reasonable amount of time
2) Patches are high quality, unit tested and easy to apply/verify. In
other words, the author works to minimize the limited resources of the
committer. The author also stays on top of the patch as issues come up.
3) The person is pleasant to work with and polite.
Now, since Mahout is young, the bar is somewhat lower, especially in
terms of length of time being around.
So, I guess the takeaway is, that if you view Hama as your project
that is managed by you and your team, then I am not so sure it is the
right fit. I am not sure if I am reading your intent here correctly,
so please clarify. The way I understand the language of this Issue
and the subsequent comments is that you want Hama to be a fairly
standalone sub project, right? Hence the list of committers, etc.
However, by us committing this code, we are saying that we are willing
to maintain it as a community and that the community sets the
direction of where it goes and your committership doesn't necessarily
follow from this patch. We generally don't elect committers on the
basis of one patch, although we do sometimes make contrib areas that
do have separate committers for just that area, but I tend to favor
full committership.
One thing I am curious about, is why isn't Hama proposed as a
subproject to Hadoop? It seems like it is a better logical fit there,
since it has more uses than just ML and would thus receive a wider
audience and more opportunity to grow. Mahout could then take
advantage of it from there.
Cheers,
Grant
On Mar 16, 2008, at 7:06 AM, Edward Yoon (JIRA) wrote:
[ https://issues.apache.org/jira/browse/MAHOUT-16?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12579185
#action_12579185 ]
Edward Yoon commented on MAHOUT-16:
-----------------------------------
I'm not sure whether hama will become a contrib of the mahout, If
proposal goes through the mahout PMC i would ask for a contrib
committer privilege of the mahout project to enable me to manage our
project and our members and our issues. I would appreciate any
advice you could give me.
Hama contrib package for the mahout
-----------------------------------
Key: MAHOUT-16
URL: https://issues.apache.org/jira/browse/MAHOUT-16
Project: Mahout
Issue Type: New Feature
Environment: All environment
Reporter: Edward Yoon
Attachments: hama.tar.gz
*Introduction*
Hama will develop a high-performance and large-scale parallel
matrix computational package based on Hadoop Map/Reduce. It will be
useful for a massively large-scale Numerical Analysis and Data
Mining, which need the intensive computation power of matrix
inversion, e.g. linear regression, PCA, SVM and etc. It will be
also useful for many scientific applications, e.g. physics
computations, linear algebra, computational fluid dynamics,
statistics, graphic rendering and many more.
Hama approach proposes the use of 3-dimensional Row and Column
(Qualifier), Time space and multi-dimensional Columnfamilies of
Hbase (BigTable Clone), which is able to store large sparse and
various type of matrices (e.g. Triangular Matrix, 3D Matrix, and
etc.). its auto-partitioned sparsity sub-structure will be
efficiently managed and serviced by Hbase. Row and Column
operations can be done in linear-time, where several algorithms,
such as structured Gaussian elimination or iterative methods, run
in O(the number of non-zero elements in the matrix / number of
mappers) time on Hadoop Map/Reduce.
So, it has a strong relationship with the mahout project, and it
would be great if the "hama" can become a contrib project of the
mahout.
*Current Status*
In its current state, the 'hama' is buggy and needs filling out,
but generalized matrix interface and basic linear algebra
operations was implemented within a large prototype system. In the
future, We need new parallel algorithms based on Map/Reduce for
performance of heavy decompositions and factorizations. It also
needs tools to compose an arbitrary matrix only with certain data
filtered from hbase array structure.
It would be great if we can collaboration with the mahout members.
*Members*
The initial set of committers includes folks from the Hadoop &
Hbase communities, and We have a master's (or Ph.D) degrees in the
mathematics and computer science.
- Edward Yoon (edward AT udanax DOT org)
- Chanwit Kaewkasi (chanwit AT gmail DOT com)
- Min Cha (minslovey AT gmail DOT com)
- Antonio Suh (bluesvm AT gmail DOT com)
At least, I and Min Cha will be involved full-time with this work.
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