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Ted Dunning commented on MAHOUT-227:
Zhao,
My thought is that having a good
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Ted Dunning commented on MAHOUT-227:
Is this going to be complete this week or next?
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zhao zhendong commented on MAHOUT-227:
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So far, I didn't work on this parallel Binary
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zhao zhendong commented on MAHOUT-227:
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Thanks for your comments.
Sure, actually, I
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Ted Dunning commented on MAHOUT-227:
{quote}
I understand this concern. Actually, if we
Thanks.
On Tue, Dec 22, 2009 at 11:40 AM, Ted Dunning (JIRA) j...@apache.orgwrote:
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Ted Dunning commented on MAHOUT-227:
{quote}
k = 1
Otherwise as in the Pegasos article. No parallelism.
{quote}
I confused. As the consequence, what is the motivation behind integrating
the Pegasos into Mahout.
Can you estimate that in which situation, this implementation can outperform
the original Pegasos? Large-scale data set
Zhao,
Mahout is not just for hadoop-based implementations. We are interested in
scalable
machine learning - we currently have *no* SVM implementations in Mahout,
and would
welcome an easy simple straightforward SVM, and would find something like
the original
Pegasos implemented in our APIs
Hi,
I see. Thanks for your explanation. I thought that every thing in Mahout
should be parallelized.
I agree with Ted, to extend k may not obtain any improvement, especially,
within the large cluster case. *The lager-scale learning, however, at least
has two levels, one is for algorithm and
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David Hall commented on MAHOUT-227:
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As Ted hints, a proposal should really be placed on
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Ted Dunning commented on MAHOUT-227:
Here are a few formatting suggestions:
a) when
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