Hello,
When i try to kill a process i am unable to find the process id after using the
command :hadoop job -list
It says no jobs running.
i am running the canopy clustering example by typing the following command:
mahout org.apache.mahout.clustering.syntheticcontrol.canopy.Job --input --output
Looks like there is a flag to control that (run sequential or not).
"method"
And by default it seems to run on cluster. Still, I think you can try it
out to make sure whether its running sequential or on cluster.
On 11-10-2011 12:12, Gaurav wrote:
Hello,
When i try to kill a process i am una
It doesn't sound like you really have or want a recommender problem,
then. Really, this is neither a clustering nor recommender problem;
it's just using a similarity metric.
Ted's right that you do have to encode these things as numeric vectors
to use anything in Mahout. A vector can't have values
Hi everyone,
I want to use mahout for text classification. Right now I'm reading through
some chapters of the book "mahout in action", but some of the code examples
aren't working yet. So I thougt, that I ask my question right away: how can
I use Mahout for text classification?
My problem is abou
The multi-label problem in Mahout needs to be attacked by building multiple
binary models. From there, you can use the examples for NaiveBayes and for
logistic regression SGD (see the Mahout in Action book) to get things
started. You will need to glue the lucene document vector extraction to the
On Tue, Oct 11, 2011 at 8:18 AM, Sean Owen wrote:
> It doesn't sound like you really have or want a recommender problem,
> then. Really, this is neither a clustering nor recommender problem;
> it's just using a similarity metric.
>
Absolutely.
> Ted's right that you do have to encode these thi
I'm running trunk RecommenderJob (via build-asf-email.sh) and am not getting
any recommendations due to NaNs being calculated in the AggregateAndRecommend
step. I'm not quite sure what is going on as it seems like this was working as
little as two weeks ago (post Sebastian's big change to RecJo
Where is the NaN coming up -- what has this value?
It should be propagated in some cases but not others. I'm not aware of
any changes here.
Generally small data sets will have this problem of not being able to
compute much of anything useful, so NaN might be right here.
But you say it was differen
On Oct 11, 2011, at 12:36 PM, Sean Owen wrote:
> Where is the NaN coming up -- what has this value?
simColumn seems to be the originator in the Aggregate step. For instance, my
current breakpoint shows:
{309682:0.9566912651062012,42938:0.9566912651062012,309672:NaN}
I can also see some in the
NaN is added for all user item pairs that already exist in the input, to
make them ineligible for recommendation. That's normal - could this be the
case?
On Oct 11, 2011 7:49 PM, "Grant Ingersoll" wrote:
>
> On Oct 11, 2011, at 12:36 PM, Sean Owen wrote:
>
> > Where is the NaN coming up -- what h
On Oct 11, 2011, at 2:49 PM, Grant Ingersoll wrote:
>
> On Oct 11, 2011, at 12:36 PM, Sean Owen wrote:
>
>> Where is the NaN coming up -- what has this value?
>
> simColumn seems to be the originator in the Aggregate step. For instance, my
> current breakpoint shows:
> {309682:0.956691265106
On Oct 11, 2011, at 2:54 PM, Sean Owen wrote:
> NaN is added for all user item pairs that already exist in the input, to
> make them ineligible for recommendation. That's normal - could this be the
> case?
Trying to track down. I don't think it is the self case, but not 100% sure.
> On Oct 1
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