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 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
>
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
. 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:
>
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
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
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
> >
.
>
> 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
> > ?
> >
>
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
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
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
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
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