You can also try to find initial clusters first using canopy clustering,
its a fast single iteration clustering algorithm.
https://cwiki.apache.org/confluence/display/MAHOUT/Canopy+Clustering
Canopy clustering would provide you better initial clusters which you
can feed into kmeans for faster
Please ask questions describing the problem that you are facing in
detail here, I hope that you will get the answer.
On 13-09-2012 08:29, Don.Tan wrote:
I have tried it by following the way of the sample code, and I noticed
that I should not use seq2sparse directory. That leads to the sparse
Well there are only 7 products in the universe! If you ask for 10
recommendations, you will always get all unrated items back in the
recommendations. That's always true unless the algorithm can't
actually establish a value for some items.
What result were you expecting, less than 10 recs? less
Your command is correct, and it should run a single test. I just tried
running a new test I wrote from the $MAHOUT_HOME/core/ directory.
From where are you firing this command?
On Wed, Sep 12, 2012 at 12:09 PM, Nick Kolegraff nickkolegr...@gmail.comwrote:
Does this work for anyone?
mvn
Hi, I'm installing Mahout, following this steps (
http://cloudblog.8kmiles.com/2012/01/31/apache-mahout-installation-on-hadoop-cluster/
):
user1@ubuntu-server:~$ apt-get install maven2
user1@ubuntu-server:~$ cd /opt
user1@ubuntu-server:~$ svn co http://svn.apache.org/repos/asf/mahout/trunk
The current build is broken as sometimes happens with development
https://builds.apache.org/job/Mahout-Quality/1658/console.
Till the time it gets fixed, I would suggest to skip tests and build.
On 13-09-2012 15:59, David Scarlatti wrote:
Hi, I'm installing Mahout, following this steps (
Thanks for the response.
I have tried firing the command from both
$MAHOUT_HOME (as this suggests
https://cwiki.apache.org/MAHOUT/buildingmahout.html)
$MAHOUT_HOME/core
both with the same errors as reported above.
($MAHOUT_HOME is set to the root of mahout)
using:
git:
Ok, sorry for the bother. I took a recent pull and everything seems to be
working fine now.
working from this for others reference:
commit: 79313f55c3c3d38a4999a5cb0656170bc9e29434
git-svn-id:
https://svn.apache.org/repos/asf/mahout/trunk@138178013f79535-47bb-0310-9956-ffa450edef68
On Thu, Sep
Ok. So tests are just tests... not needed for having mahout running
Thanks!
-Original Message-
From: Paritosh Ranjan [mailto:pran...@xebia.com]
Sent: Thursday, September 13, 2012 1:15 PM
To: user@mahout.apache.org; d_scarla...@yahoo.es
Subject: Re: Building Mahout
The current
What distance measure?
On Sep 12, 2012, at 10:37 PM, Elaine Gan elaine-...@gmo.jp wrote:
My -cd was quite loose, set it at 0.1
Hmm.. maybe the data is too small, causing the low performance..?
200 iterations?
What is your convergence delta? If it is too small for your distance measure
Actually if it is really taking 200 iterations then it is never matching your
convergence delta. That means either your data does not cluster well or you
convergence delta is still to tight.
I was suggesting that you loosen the convergence delta until it only takes
10-20 iterations to cluster
Yes. It is a grave embarrassment to us, but not a functional requirement.
On Thu, Sep 13, 2012 at 6:42 AM, I-Scarlatti, David
david.scarla...@boeing.com wrote:
Ok. So tests are just tests... not needed for having mahout running
Thanks!
-Original Message-
From: Paritosh
Hi Paritosh:
I made it work on Hadoop mode, not Local. I don't know if thats desirable.
I also got this error: Hadoop libraries are missing when running local and,
from what I saw at the mahout script, it simply discards all libraries when
MAHOUT_LOCAL is set.
So, is the local mode used for
Hi guys,
I am trying to compile my application code using mahout 0.7 and hadoop 0.19.
during the compile process, it is throwing errors as below:
$ hadoop jar cluster-0.0.1-SNAPSHOT-jar-with-dependencies.jar
mahout.sample.ClusterVideos
12/09/13 20:36:18 INFO
Very true, good catch. I think I was interpreting the results the wrong way.
I expect only the top 5, so I changed the parameter to 5 instead of 10
and the results are as expected now.
Thanks.
On Wed, Sep 12, 2012 at 11:36 PM, Sean Owen sro...@gmail.com wrote:
Well there are only 7 products in
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