Hi,
I profiled the Mahout command with visualvm and saw many threads. Some of them
are related to the profiler and some other are communication threads.
Interesting thing is that, the main thread is always in sleep state!
From the thread dump (which has been attached), the owner is Mahout.
Profiled what exactly, a Hadoop job? If you profile a client, you aren't
learning anything about the work, but just that the client process is
blocked waiting for Hadoop jobs to complete.
On Mar 30, 2014 10:08 AM, Mahmood Naderan nt_mahm...@yahoo.com wrote:
Hi,
I profiled the Mahout command
Hi,
My name is Niklas Ekvall and I have a implementation of the recommender
algorithm Large-scale Parallel Collaborative Filtering for the Netflix
Prize and now I'm wondering how to choose the number of features and
lambda. Could any of guys help me to explain a stepwise strategy to choose
or
Profiled what exactly, a Hadoop job?
As soon as I run
/mahout testclassifier -m
wikipediamodel -d wikipediainputI see a org.apache.mahout.driver.MahoutDriver
in the visualvm and then I open it.
Regards,
Mahmood
Use k-fold cross-validation or hold-out tests for estimating the quality
of different parameter combinations.
--sebastian
On 03/30/2014 11:53 AM, Niklas Ekvall wrote:
Hi,
My name is Niklas Ekvall and I have a implementation of the recommender
algorithm Large-scale Parallel Collaborative
Hello Sebastian, could you do a deeper explanation or refer to any article
that handle the subject?
Best regards, Niklas
2014-03-30 20:50 GMT+02:00 Sebastian Schelter s...@apache.org:
Use k-fold cross-validation or hold-out tests for estimating the quality
of different parameter
Niklas,
http://en.wikipedia.org/wiki/Cross-validation_(statistics)
http://statweb.stanford.edu/~tibs/sta306b/cvwrong.pdf
On Sun, Mar 30, 2014 at 12:41 PM, Niklas Ekvall niklas.ekv...@gmail.comwrote:
Hello Sebastian, could you do a deeper explanation or refer to any article
that handle the
After running CanopyDriver.run on some 4 dimensional DenseVectors, I'm
using a handcrafted text dictionary passed to ClusterDumper declared
as dictionary type text. The dictionary looks like this, with the
entry lines having dimension and feature name separated by tab:
4
0 recordedBy
1
Seems like most people agree that ranking is more important than rating in most
recommender deployments. RMSE was used for a long time with cross-validation
(partly because it was the choice of Netflix during the competition) but it is
really a measure of total rating error. In the past we’ve
Hi
Does Mahout v0.9 supports Cloudera Hadoop v5 (2.2.0-cdh5.0.0-beta-1)?
I have managed to installed and run all test cases under the Mahout v0.9
without any issue.
Please see below for the evident of the test cases.
However I have no success to run the example from
Have you rebuilt Mahout for your version? We're not supporting Hadoop version
two yet.
See here for some direction:
http://mail-archives.us.apache.org/mod_mbox/mahout-user/201403.mbox/%3CCANg8BGD8Cm_=ESecQQ5mDL+6ybbNrR1Ce7i=pkuimxmcktw...@mail.gmail.com%3E
On Mar 30, 2014, at 7:28 PM, Phan,
Yeah... what Pat said.
Off-line evaluations are difficult. At most, they provide directional
guidance to be refined using live A/B testing. Of course, A/B testing of
recommenders comes with a new set of tricky issues like different
recommenders learning from each other.
On Sun, Mar 30, 2014 at
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