Re: Mahout ML vs Spark Mlib vs Mahout-Spark integreation

Hi, I am in the same spot as Isabel. Used to use/understand most of the «old» standalone mahout, now doing some data transformation with spark, but I am not sure where Samsara fits in the ecosystem. We also do quite a bit of computation in R. Basically we are willing to learn and support the proje

Re: Mahout ML vs Spark Mlib vs Mahout-Spark integreation

're working on that too. Recently MAHOUT-1896 added convenience > methods > > for interacting with MLLib type RDDs, and DataFrames > > https://issues.apache.org/jira/browse/MAHOUT-1896 > > > > (No support yet for SparkML type dataframes, or spitting DRMs back out >

Fwd: Google Big Query & Prediction API

Hi, This is a new service by Google of supervised learning http://googlecode.blogspot.com/2010/05/bigquery-and-prediction-api-get-more.html Anyone has thoughts on this? I'd say it seems pretty limited as of now, but the details are scarce... Sorry for this slight off-topic... :) BR, Fl

Re: Google Big Query & Prediction API

. and I don't doubt people, on this list perhaps, are also > interested in building a series of specializations on top of Mahout to > orient it to specific domains and use cases. That's an interesting > business! > > On Thu, May 20, 2010 at 8:43 PM, Florent Empis > wrote: >

Re: [OT] Mahout expertise

Hi, As a user of Mahout in a professional setting, I can confirm this would be helpful to me and others in the field. BR, Florent Empis 2010/7/12 Isabel Drost > On Wed tog wrote: > > I am looking for a Mahout (and related technologies) expert in > > Bangalore for a few days/w

Beginner questions on clustering & M/R

Map Step: input: ((S1,t ... S1,t+n),... ,(Sk,t ... Sk,t+n) ) output (( (S1,t;S1,t+1),...,(S1,t+n-1;S1,t+n)), ... ,( (Sk,t;Sk,t+1),...,(Sk,t+n-1;Sk,t+n)) ) Reduce Step: ( (%S1,t+1.%S1,t+n), ...,(%S1,t+1.%S1,t+n)) I apologize for my beginner's questions but everyone has to start somewhere :-) BR, Florent Empis

Re: Beginner questions on clustering & M/R

propriate. > > You might be able to get away with something like an SVD of your daily > change data. > > On Thu, Jul 15, 2010 at 7:51 AM, Florent Empis >wrote: > > > Hi, > > > > I want to learn more on clustering techniques. I have skimmed through > >

Re: Beginner questions on clustering & M/R

. > > On Fri, Jul 16, 2010 at 5:01 AM, Florent Empis >wrote: > > > What makes you think that Gabor would help? Because of phase shifting? I > > would then basically be clustering my data by phase shifting, is that > right > > ? > > >

Re: Beginner questions on clustering & M/R

transform. Gabor transforms might be > appropriate. > > You might be able to get away with something like an SVD of your daily > change data. > > On Thu, Jul 15, 2010 at 7:51 AM, Florent Empis >wrote: > > > Hi, > > > > I want to learn more on clustering

Re: Could you improve the AbstractJDBCDataModel?

Actually, I discussed a while back the creation of a caching strategy for the datamodel, through Memcache. I did begin an implementation, but other stuff (namely, a new job) got in the way Another option would be to go for a library such as Hibernate or Ibatis and throw efficient caching (such

Mahout in Action/ Distributed recommandation

Hi, I just tried to follow Mahout In Action, 6.4.2 Running recommendations with Hadoop When I launch bin/hadoop jar ~/mahout/trunk/core/target/mahout-core-0.4-SNAPSHOT.job org.apache.mahout.cf.taste.hadoop.item.RecommenderJob -Dmapred.input.dir=input/input.txt -Dmapred.output.dir=output --users

Re: Mahout in Action/ Distributed recommandation

ere? > > On Mon, Aug 9, 2010 at 9:18 AM, Florent Empis > wrote: > > Hi, > > > > I just tried to follow Mahout In Action, 6.4.2 Running recommendations > with > > Hadoop > > > > When I launch > > bin/hadoop jar ~/mahout/trunk/core/targ