*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
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
)
at 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
(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 extract all the information
from a
mailing list search but i think a rolling FAQ would much more (1) be
likely evolve
will volunteer to
help translate the QA stream into real documentation / JIRAs etc.
--
Jay Vyas
http://jayunit100.blogspot.com
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
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.
On Sat, Mar 29, 2014 at 2:01 AM, Sebastian Schelter s...@apache.org 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:
Im wrapping a distributed recommender like
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
Does the apache maven release repo contain hadoop 2x compiled jars? Or
shall we just compile those manually?
--
Jay Vyas
http://jayunit100.blogspot.com
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 distributed recommenders...
the als recommender
the item recommender
the pseudo recommender
Any docs differentiating
... 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 jayunit...@gmail.com wrote:
Thanks sebastian. I guess im looking more for some hints on how to use
the mahout API for this.
1) Does
,
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
.
Bhargav Golla
Committer, ASF
Github http://www.github.com/bhargavgolla |
LinkedINhttp://www.linkedin.com/in/bhargavgolla
| Website http://www.bhargavgolla.com/
--
Jay Vyas
http://jayunit100.blogspot.com
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
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 jayunit...@gmail.com wrote:
I specifically have fixed mapreduce jobs by doing what the error message
suggests.
But maybe (hopefully) there is another workaround
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 jayunit...@gmail.com 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 so:
Any thoughts on this JIRA?
https
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
, 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://jayunit100
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