Thanks, I thought of that, but that doesn't seem to be the right explanation
either
For one, in the output I see the equation like
TargetVariable ~ -0.001*InterceptTerm + - 0.0006*predictor1 +
-0.0004*predictor2
Also if I look at the say predictor1, the co-efficient in R is 1.02 and for
predi
Hi,
Thanks for your response. The class that I am using is
org.apache.mahout.classifier.sgd.TrainLogistic
Each line in the input file is of the form
Targetvalue, predictor1value, predictor2value, predictor20value
e.g. lines
1, 1.4, 1.9, 2.3,01.0
0, 1.2,0,3.4,..0.0
,
I assume you mean input *matrix* with 600,000 doc-term *vectors*.
You need to ensure these vectors are split evenly across many part files.
The number of part files will determine input splits and in turn map-side
parallelism.
Could you let us know how much input each of your 70 mappers is proces
The *training* of many Mahout algorithms are on Hadoop, but the output
classifiers (e.g. a binary text classifier [trained with L1 regularization
to sparsify] for spam filtering) could certainly fit on a small footprint
like a mobile phone.
On Wed, Jan 30, 2013 at 7:46 AM, Mahesh Balija
wrote:
>
I ran cvb on AWS (mahout 0.7 and amazon's hadoop 1.0.3).
I'm running it with
hadoop jar mahout-fat.jar org.apache.mahout.driver.MahoutDriver \
cvb \
-i /lda/matrix-converted/matrix \
-o 's3n://.../lda/results \
-dict /lda/dictionary.file-0 \
-dt s3n://.../lda/doc-topics \
-k 10 -x 10
The diction
Hi Vignesh,
Do you really need mahout for this , you could just write the classification
algorithm yourself and run it on a mobile lite offline storage as needed. Ping
me offline if you want to discuss in more detail.
Regards
Sent from my iPhone
On Jan 30, 2013, at 7:46 AM, Mahesh Balija wrot
Looks like you're looking at weights which are logs of the weights you
think you want.
On Wed, Jan 30, 2013 at 4:12 AM, Prabhu wrote:
> Hi all,
>
> I am trying to use Mahout to run logistic regression analysis on some
> data. The data is about 7 Million rows, with about 20 predictor variabl
What classes are you using and how are you using them?
How are you producing the training vectors?
On Wed, Jan 30, 2013 at 4:12 AM, Prabhu wrote:
> Hi all,
>
> I am trying to use Mahout to run logistic regression analysis on some
> data. The data is about 7 Million rows, with about 20 predi
Just a set of mahout commands. Here they are.
https://gist.github.com/4674331
For what it's worth,t he relevant solr config from the schema was
Thank You
On Wed, Jan 30, 2013 at 4:37 AM, Grant Ingersoll wrote:
> Can you gist (gist.github.org) or pastebin your code?
>
> On Jan 29, 2013, at 5
AFAIK it is NOT possible. As Mahout runs on top of Hadoop.
Also Hadoop is a distributed computing framework, it will run on cluster of
machines.
So ideally it may NOT be possible to run on a Mobile.
On Wed, Jan 30, 2013 at 8:46 PM, VIGNESH S wrote:
> I am trying to implement some classification
I am trying to implement some classification in android mobile device..
is it possible to use mahout in mobile device..Please kindly help me
--
Thanks and Regards
Vignesh Srinivasan
9739135640
Hi all,
I am trying to use Mahout to run logistic regression analysis on some
data. The data is about 7 Million rows, with about 20 predictor variables
(all of them numeric). The target variable is Boolean - 0 or 1.
I run a logistic regression with this data on R and I get good co-efficients
Hi all,
I'm new to Mahout and I've been going through the MiA book, lately I've been
trying Chapter 10's example of NewsKMeansClustering as it looks like a good
starting point for my own stuff but I've run into a problem just trying to run
and view the output.
I'm trying to view the output of
Can you gist (gist.github.org) or pastebin your code?
On Jan 29, 2013, at 5:12 PM, vybe3142 wrote:
> Reposting - I wasn't subscribed to the group earlier
>
>
> VS
>
> first ingesting the data into SOLR and then invoking mahout on the SOLR
> index (clustering on the contents of the field "text
It throws an exception except in a few implementations, mostly the
ones based on a database. It isn't something that's really used -- you
instead update the backing store indirectly. Yes, the model is batch
re-reads of data once in a while. Updates are not in real time in this
model.
On Wed, Jan 3
No, this is usually discussed under the name "implicit feedback" in
the literature.
On Wed, Jan 30, 2013 at 2:49 AM, Zia mel wrote:
> I tried to find more details about the boolean preferences but
> couldn't find any. Did you discover this idea or it has been known and
> used before?
So what does the method do instead?
And basically the conclusion is: To "update" your recommender with new
preference values, you need to reload the data model and everything that
follows?
Thanks,
Henning
On Tue, Jan 29, 2013 at 7:30 PM, Sean Owen wrote:
> It doesn't really work this way. Th
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