An aside: You can also deploy mahout via asfbiftop in emr or openstack if you
are interested in building your own distribution or patching but still want the
convenience of automated deployment and rpm/deb packages.
Boston university is going this route currently.
> On Jul 23, 2015, at 10:45 AM
*very* slowly, so slowly, that its essentially hanging? Like i said, this
bug appears gone in 0.9.
Any thoughts would be appreciated.
thanks!
--
jay vyas
; the runtime of the program are basically the same. Shouldn't it be faster
> when the program runs on more machines? Any hint?
>
> Regards, Dong
>
>
--
Jay Vyas
http://jayunit100.blogspot.com
nt properly process a
file, you get a failure in the ALS job, because when it checks counters
from previous job, an NPE is thrown.
Im pretty lost on this, been looking into it on and off for some time - so
anyone has a thought let me know.
--
Jay Vyas
http://jayunit100.blogspot.com
org.apache.hadoop.util.ToolRunner.run(ToolRunner.java:84)
at
org.apache.mahout.cf.taste.hadoop.als.ParallelALSFactorizationJob.main(ParallelALSFactorizationJob.java:111)
--
Jay Vyas
http://jayunit100.blogspot.com
source for documentation
> than the webpage would be so helpful (there still lots of work to do on the
> website...), how do others see this?
> >
> > --sebastian
> >
> >> On 04/17/2014 05:06 PM, Jay Vyas wrote:
> >> Hi sebastian: theoretically, one could extra
>
>
> On 04/16/2014 09:31 PM, Jay Vyas wrote:
>
>> hi mahout... i finally thought of a really easy way of ad-hoc improvement
>> of mahout docs, that can feed into the efforts to get formal docs
>> improved.
>>
>> Any interest in creating a shared mahout F
volunteer to
help translate the QA stream into "real" documentation / JIRAs etc.
--
Jay Vyas
http://jayunit100.blogspot.com
Hi again mahout!
What is the lowest that we can set a threshold in the item recommender?
I'd like to set it low enough to gaurantee output to confirm that my
recommender actually worked structurally, and then start tightening it up
But with
--threshold=.0001 i still get no results.
dir env properties.
- expoerted MAHOUT_HOME.
In any case, I thin something about the way mahout nests jobs, or else, the
way it logs, makes it tricky to debug when failures happen in local mode,
but i was never able to put my finger on just what.
On Sat, Mar 29, 2014 at 11:34 AM, Jay Vyas wrote
On Sat, Mar 29, 2014 at 2:01 AM, Sebastian Schelter wrote:
> Jay,
>
> which version of Mahout are you using? Have you tried to explicitly set
> the temp path?
>
> --sebastian
>
>
> On 03/29/2014 01:52 AM, Jay Vyas wrote:
>
>> Hi again mahout:
>>
>>
ithms work ,
but its not clear what is really done for me by mahout, and what i have to
do on my own for the distributed recommender APIs.
--
Jay Vyas
http://jayunit100.blogspot.com
n , then it returns a new exception:
/tmp/preparePreferenceMatrix/ratingMatrix not Found.
So... Im thinking i must be doing something horribly wrong in my
recommender, but cant figure out exactly what?
On Fri, Mar 28, 2014 at 2:29 PM, Jay Vyas wrote:
> Thanks sebastian. I guess i
le Similarity-Based Neighborhood Methods with MapReduce, RecSys'12
>
> http://ssc.io/wp-content/uploads/2012/06/rec11-schelter.pdf
>
>
>
> On 03/28/2014 02:04 PM, Jay Vyas wrote:
>
>> Hi mahout:
>>
>> Looking through the source code there are 3 distribu
Does the apache maven release repo contain hadoop 2x compiled jars? Or
shall we just compile those manually?
--
Jay Vyas
http://jayunit100.blogspot.com
Hi mahout:
Looking through the source code there are 3 distributed recommenders...
the als recommender
the item recommender
the pseudo recommender
Any docs differentiating these?
--
Jay Vyas
http://jayunit100.blogspot.com
t;>> works. I don't find webapp directory in integration/ and hence even
> >>> after I add jetty plugin in the pom.xml in integration/, it is
> throwing an
> >>> exception.
> >>>
> >>> Bhargav Golla
> >>> Committer, ASF
> >>> Github <http://www.github.com/bhargavgolla> |
> >>> LinkedIN<http://www.linkedin.com/in/bhargavgolla>
> >>>| Website <http://www.bhargavgolla.com/>
> >>>
> >>>
> >>
> >
>
--
Jay Vyas
http://jayunit100.blogspot.com
Another wild guess, I've had issues trying to use the 's3' protocol from
>> Hadoop and got things working by using the 's3n' protocol instead.
>>
>>> On Mar 16, 2014, at 8:41 AM, Jay Vyas wrote:
>>>
>>> I specifically have fixed ma
I specifically have fixed mapreduce jobs by doing what the error message
suggests.
But maybe (hopefully) there is another workaround that is configuration driven.
Just a hunch but, Maybe mahout needs to be refactored to create fs objects
using the get(uri,conf) calls?
As hadoop evolves to supp
Yes it will be tricky. But that said, i think we should be able to simply
change the existing parsers to be more flexible , to accomodate at least
slightly more diverse inputs. For example, variable columns in CSV etc...
>
>
>
> On Fri, Feb 21, 2014 at 8:01 AM, Jay Vyas wrote:
>
> > Hi mahout. Was thinking about building adapters so it would be easier to
> > run algorithms on a broader set of input data structures, unless there is
> > already an initiative to do
Hi mahout. Was thinking about building adapters so it would be easier to
run algorithms on a broader set of input data structures, unless there is
already an initiative to do so:
Any thoughts on this JIRA?
https://issues.apache.org/jira/browse/MAHOUT-1421
--
Jay Vyas
http://jayunit100
This relates to a previous question I have: Does mahout have a concept of
adapters which allow us to read data csv style data with filters to create
exact format for its various inputs (i.e. Recommender three column format).?
If not is it worth a jira?
> On Feb 20, 2014, at 7:50 AM, Kevin M
+100 for this, different execution engines, like the direction pig and crunch
take
Sent from my iPhone
> On Feb 19, 2014, at 5:19 AM, Gokhan Capan wrote:
>
> I imagine in Mahout offering an option to the users to select from
> different execution engines (just like we currently do by giving
x123x, iphone, .3
So I'd like to tell the recommender engine at runtime to read in fields 0,
2, and 3, skipping the garbage text in column 1.
Any ideas on how to handle this without having to write a mapreduce job
just to scrape 3 out of the 4 columns out of the file?
--
Jay Vyas
http://
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