There's not a very clean answer to this. The original design from way back
when was definitely about reloading a fixed model periodically. So that's
always an option -- put the users in your database, or update files, or
whatever backs the model and they'll turn up at the next reload.
The anonymou
I want to run kmeans on binary data and the definition of centroid for
my application is the Or() of bits of all points inside a cluster.
Where, in Mahout, should I change?
--
Masoud Moshref Javadi
Computer Engineering PhD Student
Ming Hsieh Department of Electrical Engineering
University of Sou
Hi Swapna,
I can't give you source code for legal reasons but you should be able to setup
Hadoop based map reduce jobs that invoke mahout item similarity and clustering
algorithms to run in offline mode in a local or dev hadoop cluster. I wrote
some scala code to invoke mahout and stream out res
I'm thinking about ways I could add new users to the system dynamically. I have
an app that gets lots of requests from new users, but there's an opportunity to
get prefs before showing the items. So I can see where the anonymous user class
would work here, but then what about subsequent requests
Note that the KMeansMapper, along with its combiner and reducer, were
eliminated in the latest 0.7 clustering refactoring and are no longer in
trunk.
On 7/16/12 3:59 AM, Weishung Chung wrote:
Thank you. Found it in the source zip :)
On Mon, Jul 16, 2012 at 12:08 AM, bing wang wrote:
org.
On Mon, Jul 16, 2012 at 9:33 AM, Cleophus Pereira
wrote:
> You mentioned to use IDRescorer to get data based on user preferences. But
> in mahout schema we have just itemid (number) and scores(double). How can we
> determine purely based on this what is user preference.
I don't know what you
Thank you. Found it in the source zip :)
On Mon, Jul 16, 2012 at 12:08 AM, bing wang wrote:
> org.apache.mahout.clustering.kmeans.KMeansMapper
>
> 2012/7/16 Weishung Chung
>
> > Hi,
> >
> > Could anyone tell me where is KMeansMapper in the package ?
> > I can't find it :(
> >
> > Thank you,
>
Hi,
I'm new to mahout. And learning how to use naiveBayes included in
mahout 0.7.
And when I read the code in *
org.apache.mahout.classifier.naivebayes.training.WeightsMapper*, I found a
confuse variable "cardinality" of RandomAccessSparseVector which actually
is the property "size" in Abst
org.apache.mahout.clustering.kmeans.KMeansMapper
2012/7/16 Weishung Chung
> Hi,
>
> Could anyone tell me where is KMeansMapper in the package ?
> I can't find it :(
>
> Thank you,
> Wei Shung
>
--
Gmail/talk: wangbing7...@gmail.com
