Perfect ! It works like a charm now ! I'll still be testing after lunch,
and let you know if any new problem subsists, but it looks promising !
Thanks you very much !
Kévin Moulart
2014-03-06 19:31 GMT+01:00 Ted Dunning ted.dunn...@gmail.com:
On Thu, Mar 6, 2014 at 7:46 AM, Kevin Moulart
Hi
When I run
mahout wikipediaXMLSplitter -d
examples/temp/enwiki-latest-pages-articles.xml -o wikipedia/chunks -c 64
I get this error
14/03/07 16:24:13 WARN driver.MahoutDriver: Unable to add class:
wikipediaXMLSplitter
java.lang.ClassNotFoundException: wikipediaXMLSplitter
at
Mehmood,
wikipediaXMLSplitter is not present in driver.classes.default.props. To
accomplish what u r trying to do, u can edit
src/conf/driver.classes/default/props and add an entry for wikipediaXMLSplitter.
org.apache.mahout.text.wikipedia.WikipediaXmlSplitter = wikipediaXmlSplitter :
In fact, see this file
src/conf/driver.classes.default.props
which is not exactly as what you said. Still I have the same problem. Please
see the complete log
hadoop@solaris:~/mahout-distribution-0.9$ head -n 5
src/conf/driver.classes.default.props
Hi again,
I'm now using Mahout 0.9, and I'm trying to use PCA (via the SSVD) to
reduce the dimention of a dataset from 1600+ features to ~100 and then to
use the reducted dataset to train a naive bayes model and test it.
So here is my workflow :
- Transform my CSV into a SequencFile with
Its not clear to me from ur description as to the exact sequence of steps u r
running thru, but an SSVD job requires a matrix as input (not a sequencefile of
Text, VectorWritables.
When u try running a seqdumper on ur SSVD output do u see anything?
The next step after u create ur
FYI, I am trying to complete the wikipedia example from Apache's document
https://cwiki.apache.org/confluence/display/MAHOUT/Wikipedia+Bayes+Example
Regards,
Mahmood
On Friday, March 7, 2014 5:23 PM, Mahmood Naderan nt_mahm...@yahoo.com wrote:
In fact, see this file
The example as documented on the Wiki should work. The issue u seem to be
running Mahout 0.9 distro that was built with hadoop 1.2.1 profile on a Hadoop
2.3 environment. I don't think that's gonna work.
Suggest that you either:
a) Switch to a Hadoop 1.2.1 environment
b) Work off of present
That is rather disappointing
b) Work off of present Head and build with Hadoop 2.x profile.
Can you explain more?
Regards,
Mahmood
On Friday, March 7, 2014 8:09 PM, Suneel Marthi suneel_mar...@yahoo.com wrote:
The example as documented on the Wiki should work. The issue u seem to
Hi,
this is to announce that the Project Management Committee (PMC) for
Apache Mahout has asked Andrew Musselman to become committer and we are
pleased to announce that he has accepted.
Being a committer enables easier contribution to the project since in
addition to posting patches on JIRA
Congrats Andrew.
On Friday, March 7, 2014 12:13 PM, Sebastian Schelter s...@apache.org wrote:
Hi,
this is to announce that the Project Management Committee (PMC) for
Apache Mahout has asked Andrew Musselman to become committer and we are
pleased to announce that he has accepted.
Being a
Awesome! Congrats Andrew very well-deserved.
-Original Message-
From: Sebastian Schelter [mailto:s...@apache.org]
Sent: Friday, March 07, 2014 12:13 PM
To: user@mahout.apache.org; d...@mahout.apache.org
Subject: Welcome Andrew Musselman as new comitter
Hi,
this is to announce that the
Hi Ted,
It is Mahout 0.7.
Thanks
Vineet Yadav
On Thu, Mar 6, 2014 at 11:58 PM, Ted Dunning ted.dunn...@gmail.com wrote:
WHich version are you using?
On Thu, Mar 6, 2014 at 5:47 AM, vineet yadav vineet.yadav.i...@gmail.com
wrote:
Hi,
I am using Mahout LDA algorithm for Topic Modeling
Congratulations Andrew!
On Fri, Mar 7, 2014 at 6:12 PM, Sebastian Schelter s...@apache.org wrote:
Hi,
this is to announce that the Project Management Committee (PMC) for Apache
Mahout has asked Andrew Musselman to become committer and we are pleased to
announce that he has accepted.
Congratulation Andrew !—
Sent from Mailbox for iPhone
On Fri, Mar 7, 2014 at 6:26 PM, Frank Scholten fr...@frankscholten.nl
wrote:
Congratulations Andrew!
On Fri, Mar 7, 2014 at 6:12 PM, Sebastian Schelter s...@apache.org wrote:
Hi,
this is to announce that the Project Management Committee
Thank you for the welcome! Looking forward to it.
I have a math background and got started with recommenders by building the
first album recommender for Rhapsody ( http://rhapsody.com ) while I was
doing web development and web services work for the service. Since then I
learned to love/hate
a) Upgrade to the latest Mahout version, please move away from 0.7 a lot of
lint was cleaned up since then.
b) Seems like u r running the old LDA algorithm that was replaced by CVB in
later versions, try running ur corpus thru CVB once you upgrade to a later
version of Mahout. I don't think
Congratulations to Andrew. Would be nice to have some
information/background on how PMC evaluated Andrew to become committer.
Also would be nice what future aspects/algorithms of machine learning is
mahout is going to focus on.
I have been keen to maintain code for one of the projects and
I personally am looking forward to the ³advice from the newest
³recommended² committer to hadoop.
Congratulations to Mahout team for increasing and growing :)
Now back to my using . (and hopefully creating something meaningful for
you guys)
Scott
PS: am bootstrapping my Machine Learning
Welcome and congratulations, Andrew!
Sent from my iPhone
On Mar 7, 2014, at 20:20, Scott C. Cote scottcc...@gmail.com wrote:
I personally am looking forward to the ³advice from the newest
³recommended² committer to hadoop.
Congratulations to Mahout team for increasing and growing :)
Now
Congrats Andrew, I've taken the coursera course, it was interesting but was
hoping it could cover some more in the area of deep learning.
Date: Fri, 7 Mar 2014 12:19:52 -0600
Subject: Re: Welcome Andrew Musselman as new comitter
From: scottcc...@gmail.com
To: user@mahout.apache.org
I
Congratulations and welcome to the team Andrew!
On Fri, Mar 7, 2014 at 7:28 PM, Saikat Kanjilal sxk1...@hotmail.com wrote:
Congrats Andrew, I've taken the coursera course, it was interesting but
was hoping it could cover some more in the area of deep learning.
Date: Fri, 7 Mar 2014
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