Solve this issue by change source code of trunk : add
"conf.set("mapred.job.queue.name", "xxx"), then it's ok.
but anybody knows the method "how to specify without changing source code?"
thanks,
At 2011-12-14 03:28:29,"Lance Norskog" wrote:
>It was about how "-Dproperty=value" arguments ar
hi all,
I'm still blocked on this issue.
I can't specify "mapred.job.queue.name" when I try to submit the naivebayes
example job of mahout.
I try to change source code, try different version of mahout, but not find
anything useful.
Could anybody help me on this issue : how to specify mapred.queu
Sounds like fun, perhaps we should start something similar in the Bay Area :)
On Dec 13, 2011, at 8:04 PM, David Boney wrote:
> Sure, we are studying machine learning using Mahout. We have started a
> weekly hackers dojo to learn how to implement Hadoop based machine learning
> programs usin
Sure, we are studying machine learning using Mahout. We have started a weekly
hackers dojo to learn how to implement Hadoop based machine learning programs
using Mahout. Once the group get some experience using Mahout, we are going to
focus on projects to add functionality to Mahout. If you ar
Is there a reason why user@mahout.apache.org is part of this list?
On 13 Dec, 2011, at 7:38 PM, David Boney wrote:
> The next meeting of Austin SIGKDD, Big Data Machine Learning Hackers Dojo, is
> Wednesday, December 14, 2011, 7:00 - 8:00 pm at Northwest Recreation Center.
> We have the meeting
The next meeting of Austin SIGKDD, Big Data Machine Learning Hackers Dojo, is
Wednesday, December 14, 2011, 7:00 - 8:00 pm at Northwest Recreation Center. We
have the meeting room from 6-9. There will be a presentation on how Hadoop
works from 7-8, with hacking from 6-7 and 8-9.
Please try to h
Which version of Mahout?
And what happens when you train the classifier from the command line?
On Tue, Dec 13, 2011 at 2:27 PM, Daniele Volpi wrote:
> First of all i've converted the train files in the format:
> target[\t]terms
> through the BayesFileFormatter class.
> Then i've converted these
This is pretty confusing.
What has happened is that you have encoded a single categorical variable
that has four states as four numerical variables. Unfortunately, Mahout
has gotten the message that you are using four categorical variables each
with two states.
Can you say a bit about how you ra
Hello,
I am trying to understand the output of TrainLogic. Mahout in Action only has an
example of running the classifier on numeric predictor variables. However, my
model uses categorical predictor variables only (a,b,c,d) and each can only hold
a value of 0 or 1 only. The output I get is this:
It was about how "-Dproperty=value" arguments are sorted. The issue
added a change so that these arguments were handled first.
On Tue, Dec 13, 2011 at 2:24 AM, Sean Owen wrote:
> What are you referring to here? I don't know of anything that would be
> relevant.
>
> On Tue, Dec 13, 2011 at 3:45 AM
First of all i've converted the train files in the format:
target[\t]terms
through the BayesFileFormatter class.
Then i've converted these files (one per category) in SequenceFile using
the seqdirectory program.
After that I ran this code:
TrainNaiveBayesJob trainer = new TrainNaiveBayesJob();
tra
What steps have you done?
On Dec 13, 2011, at 12:29 PM, Daniele Volpi wrote:
> Hi everyone,
> I'm trying to implement the Naive Bayes classifier through the
> TrainNaiveBayesJob class.
> After convert the text files in the required sequencefile for the "run"
> method through the seqdirectory prog
Hi everyone,
I'm trying to implement the Naive Bayes classifier through the
TrainNaiveBayesJob class.
After convert the text files in the required sequencefile for the "run"
method through the seqdirectory program i get this error:
java.lang.ClassCastException: org.apache.hadoop.io.Text cannot be
the wiki has several pages dedicated to random forests:
https://cwiki.apache.org/MAHOUT/random-forests.html
this page describe the basics and has interesting links explaining random
forests
https://cwiki.apache.org/MAHOUT/breiman-example.html
https://cwiki.apache.org/MAHOUT/partial-implementation
I want to learn mahout's Random Forest Algorithm and want to implement it.
Can someone guide me on this ?
I already went to mahout's wiki, couldn't get any info on how mahout
has implemented it or how to run it from mahout.
Any help would be highly appreciable.
Thanks,
Praveenesh
What are you referring to here? I don't know of anything that would be
relevant.
On Tue, Dec 13, 2011 at 3:45 AM, Lance Norskog wrote:
> There was a bug in Mahout 0.5 which was fixed. Are you using Mahout
> 0.5, or trunk?
>
>
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