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Jeff Eastman edited comment on MAHOUT-297 at 4/26/10 9:15 PM:
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Jeff Eastman commented on MAHOUT-297:
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I don't understand why the constructors for Cano
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Ted Dunning commented on MAHOUT-305:
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Ted says he ... doesn't like throwing out
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Richard Simon Just commented on MAHOUT-371:
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Excellent! I haven't downloaded the
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Sean Owen commented on MAHOUT-371:
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Your schedule maps it out well. In the next month, get
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Richard Simon Just commented on MAHOUT-371:
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Awesome! I won't lie, I'm super exci
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Sean Owen commented on MAHOUT-305:
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Ted says he likes LLR, and doesn't like throwing out t
On Mon, Apr 26, 2010 at 1:46 PM, Sean Owen (JIRA) wrote:
> Ted how do you like to pick which items to pay attention to for
> co-occurrence? I'm looking for something simple to start.
>
LLR is my standard answer.
>
> Though it's running pretty well (well a lot better than it was) at the
> momen
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Sean Owen commented on MAHOUT-305:
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I'm about to commit another pass at this since it's ge
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Sean Owen commented on MAHOUT-371:
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Looks like this was accept to GSoC, nice. Let the warm
Thanks everyone!
This is a fantastic opportunity, and I'll try to make the best of this for
myself, as well as Mahout. Hopefully, we'll have a great compilation of deep
learning networks within the next few releases.
BTW, congrats to everyone on Mahout becoming a TLP!
On Tue, Apr 27, 2010 at 1:1
Looks like student GSOC announcements are up
(http://socghop.appspot.com/gsoc/program/list_projects/google/gsoc2010).
Mahout got quite a few projects (5) accepted this year, which is a true credit
to the ASF, Mahout, the mentors, and most of all the students! We had a good
number of very high
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Jeff Eastman commented on MAHOUT-236:
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Ok, the above patch was committed on the 21st an
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Sean Owen updated MAHOUT-385:
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Attachment: MAHOUT-385.patch
> Unify Vector Writables
> --
>
> Key: M
Unify Vector Writables
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Key: MAHOUT-385
URL: https://issues.apache.org/jira/browse/MAHOUT-385
Project: Mahout
Issue Type: Improvement
Components: Math
Affects Versions: 0.3
Reporter: Sean Owen
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Ankur commented on MAHOUT-305:
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> But the answer is the partitioner ?
Yes
> Am I right that (
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Sean Owen commented on MAHOUT-305:
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OK, I think I get the (item1,item2) -> (item2,count) p
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Sean Owen commented on MAHOUT-305:
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Most broadly, the input is item1->item2 pairs and the
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Ankur commented on MAHOUT-305:
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CooccurrenceCombiner caches items internally and increments co
Here's my suggested boilerplate -- see below and please suggest edits
if desired. There's a 150 word limit.
Apache Mahout provides scalable implementations of machine learning
algorithms on top of Apache Hadoop. It offers collaborative filtering,
clustering, classification algorithms and more. Beg
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