Hello again,
maybe my question was misleading.
I am asking whether the intended usage is to provide the job with the
required library’s and sent those together with the job to yarn(if yes
how can this be done?), or to add the required classes to the classpath
of every node in the cluster.
Wha
Hello everyone.
I have a couple of questions.
1) Is there an implementation of DTW (Dynamic Time Warping) in Mahout
that could be used as a distance measure for clustering?
2) Why isn't there an implementation of K-mediods in Mahout? I'm
guessing that it could not be implemented efficiently
That sounds like a Hadoop list question.
All I can say is there is a job.jar in mrlegacy/target with all dependencies
packaged. This should have everything needed for lda.
On Jan 8, 2015, at 5:50 AM, mw wrote:
Hello again,
maybe my question was misleading.
I am asking whether the intended us
Thanks! Is that standard practice or do people typically serialize their
encoders and then load the binaries later?
On Wed, Jan 7, 2015 at 5:25 PM, Ted Dunning wrote:
> On Wed, Jan 7, 2015 at 2:20 PM, chirag lakhani
> wrote:
>
> > In the Mahout in Action book I got the impression that the term
I find the java documentation for the classifyfull method in Naive Bayes
I have instantiated a Naive Bayes classifier
StandardNaiveBayesClassifier classifier = new
StandardNaiveBayesClassifier(model);
and then I try to evaluate a particular vector
Vector resultVector = classifier.classifyFull(v
I meant to say that I found the java documentation to be confusing
On Thu, Jan 8, 2015 at 1:49 PM, chirag lakhani
wrote:
> I find the java documentation for the classifyfull method in Naive Bayes
>
> I have instantiated a Naive Bayes classifier
>
> StandardNaiveBayesClassifier classifier = new
>
On Thu, Jan 8, 2015 at 7:00 AM, Marko Dinic
wrote:
> 1) Is there an implementation of DTW (Dynamic Time Warping) in Mahout that
> could be used as a distance measure for clustering?
>
No.
>
> 2) Why isn't there an implementation of K-mediods in Mahout? I'm guessing
> that it could not be imple
