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
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
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 about
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 sro...@gmail.com 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
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
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 gsing...@apache.org wrote:
On Oct 11, 2011, at 12:36 PM, Sean Owen wrote:
Where is the NaN coming
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:
