PS: Current TopK FPGrowth is pretty tightly coupled. But it can be easily
refactored out or even a vanilla implementation of FPGrowth is not so
difficult to re-create by re-using the existing methods.
Robin
On Tue, Apr 6, 2010 at 3:29 AM, Robin Anil wrote:
> Hi Lukas,
>Sorry fo
Hi Lukas,
Sorry for being late to getting back to you on this.
Association rule mining is a great addition to FPGrowth. I am not sure I
understand GUHA method well but then again I understood Ted's LLR after some
deep reading. Could you put up an interesting example to help us unders
+changing subject line.
Hi Necati, Like I mentioned on JIRA ticket, you need to take a look at the
current data representation format (Vectors) and how structured data (ARFF
format) is converted to vectors. You will find a basic converter in the
utils folder under trunk.
With regard to NOSQL, the
(BCC mahout-user, moving to mahout-dev)
Alrighty I think the subtlety here is that:
String.format("%.2f", foo)
... will format numbers in a locale-specific way. I think we need:
String.format(Locale.ENGLISH, "%.2f", foo)
(Sorry to be English-centric, but we have to pick one locale in order
to
Awesome guys,
Thanks for the quick responses! The details and clarifications are both
helpful and incredibly reassuring. I've never done a proposal before,
but no matter what happens I'm really looking forward to the end of my
exams so I can gear into Mahout properly.
Many thanks
Richard
Sean Ow
*IDEA:Create adapters for MYSQL and NOSQL(hbase, cassandra) to access data
for all the algorithms to use *
*Summary*
**First of all,I am very excited to join an organization like
GSOC and most importantly work for a big open source Project apache.I am
looking for a good collaboration
Your audience is the project committers.
I wouldn't spend much time rehashing the SVD theory. You should name
your approach and I suppose write enough to make it clear you
understand the algorithm enough to implement it. In this case you can
assume we all understand the SVD well enough already.
I
Hi Richard,
A few notes about what would be required to get a nice distributed SVD
recommender in Mahout: if you look at the current distributed recommenders
(in org.apache.mahout.cf.taste.hadoop package and children), you can see
how it works: using HDFS-backed data, a batch of recommendations
Thanks for the super speedy response!
Going on from what you said I've been reading up on the different SVD
based variants used throughout the Netflix competition and working on my
proposal. I'm focussing on what you suggested with aiming purely on the
SVD-based recommender with the possibility of
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https://issues.apache.org/jira/browse/MAHOUT-363?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12853415#action_12853415
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Shannon Quinn commented on MAHOUT-363:
--
Hi Robin, thanks for the suggestions! I have s
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https://issues.apache.org/jira/browse/MAHOUT-362?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sean Owen updated MAHOUT-362:
-
Resolution: Fixed
Fix Version/s: 0.4
Assignee: Sean Owen
Status: Resolved (was
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Robin Anil commented on MAHOUT-363:
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Hi Shannon, did you take time to explore the Mahout
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https://issues.apache.org/jira/browse/MAHOUT-363?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Shannon Quinn updated MAHOUT-363:
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Description:
Proposal Title: EigenCuts spectral clustering implementation on map/reduce for
Apac
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