Hi,
I don,t think graphchi supports many algorithms..
Thanks and Regards
Vignesh Srinivasan
On Sat, Feb 2, 2013 at 2:21 AM, Mohit Singh mohit1...@gmail.com wrote:
You should look into graphchi..a new spinoff from graphlab project. which
uses disk for graph computations.
Hi Jake,
Thanks for your comments..
What is understood from your comment is Incase of Training,we can use
hadoop in clusters to generate the trained model blob file..
We can use that trained model blob file in mobile device for classification..
is it possible to generate trained model blob
I am getting the following exception when i tried executing the Mahout KMeans
algorithm.
$ $MAHOUT_HOME/bin/mahout
org.apache.mahout.clustering.syntheticcontrol.kmeans.JobWarning: $HADOOP_HOME
is deprecated.
Running on hadoop, using /data/hadoop-1.0.1/bin/hadoop and
HADOOP_CONF_DIR=MAHOUT-JOB:
Hi everyone,
Can you help me please? I'm new to Mahout and am trying to get it
running
on my local windows box on Eclipse IDE but I'm stuck.
Here is what I have done so far:
1. Pulled own latest source from:-
http://svn.apache.org/repos/asf/mahout/trunk
2. Following the instructions
Hi Murthy,
It seems to be NOT a mahout's issue to me, rather I suspect
that you might have compiled your source with some latest/legacy jars and
running in a legacy environment where you don't have latest API.
Best,
Mahesh Balija,
CalsoftLabs.
On Mon, Feb 4, 2013 at 8:48 PM,
You don't have to fix a scale. But your data needs to be consistent.
It wouldn't work to have users rate on a 1-5 scale one day, and 1-100
tomorrow (unless you go back and normalize the old data to 1-100).
On Mon, Feb 4, 2013 at 3:56 PM, Zia mel ziad.kame...@gmail.com wrote:
Hi , is there a
You can -DskipTests to skip tests, since that's what it is complaining
about. There aren't any current failures in trunk so could be
something specific to your setup. Or a flaky test. It may still be
something to fix.
On Mon, Feb 4, 2013 at 3:37 PM, jellyman colm_r...@hotmail.com wrote:
Hi
Clusters have a constructor that accepts a vector that you can use for this.
On 2/2/13 2:17 PM, sri krishna wrote:
I checked the source code for usage of ClusterWritables to write centriods to a
sequence file i found out this
SequenceFile.Writer writer = new SequenceFile.Writer(fs, conf,
Hi Mahesh,
Thanks for your reply.
I am executing the Mahout api example - KMeans algorithm
https://cwiki.apache.org/MAHOUT/clustering-of-synthetic-control-data.html
$MAHOUT_HOME/bin/mahout org.apache.mahout.clustering.syntheticcontrol.kmeans.Job
I am using the following VersionHadoop 1.0.1Mahout
You are asking for a smaller and smaller neighborhood around a user.
At some point the neighborhood includes no users, for some people --
or, the neighborhood includes no new items. Nothing can be
recommended, and so recall drops. Precision and recall tend to go in
opposite directions for similar
A good recommender shouldn't have a whole lot of popular items.
If your recommend does recommend lots of popular items, you might take a
look at the following:
a) are you using implicit feedback?
b) do you have enough data?
c) are you using a good recommender such as a log-likelihood
On Mon, Feb 4, 2013 at 12:53 AM, VIGNESH S vigneshkln...@gmail.com wrote:
Hi Jake,
Thanks for your comments..
What is understood from your comment is Incase of Training,we can use
hadoop in clusters to generate the trained model blob file..
Using a classifier has two steps: training the
Two questions:
a) Sometimes the ClusterOutputPostProcessorDriver leaves gaps in the
number of the generated folder, e.g. after folder 15 folder 16 is
generated. The total number of folders is right (as much folders as
there were clusters produced in the previous step. Ist this is a bug?
It
I was wondering if there was an explain feature in Mahout, something that gives
the reason why it did what it did, shows the values of the various features it
used to evaluate and choose the result, etc.
Because I have some wildly different text data being clustered together, for
example it
Yes.
Like I said. That project has just taken off!
On Mon, Feb 4, 2013 at 12:44 AM, VIGNESH S vigneshkln...@gmail.com wrote:
Hi,
I don,t think graphchi supports many algorithms..
Thanks and Regards
Vignesh Srinivasan
On Sat, Feb 2, 2013 at 2:21 AM, Mohit Singh mohit1...@gmail.com
Hi everyone,
I am having difficulty running the clustering example at:
https://cwiki.apache.org/MAHOUT/clustering-of-synthetic-control-data.html
I have followed all the steps but getting the error:
org.apache.mahout.math.CardinalityException: Required cardinality 60 but
got 1151
at
Sent from phone
On 4 Feb 2013, at 18:57, Chris Harrington ch...@heystaks.com wrote:
I was wondering if there was an explain feature in Mahout, something that
gives the reason why it did what it did, shows the values of the various
features it used to evaluate and choose the result, etc.
That's a really good question. Mahout does not have an explain
feature; however, you can use the ClusterDumper to print out the cluster
centers and vectors clustered within each cluster. Output is pretty
verbose and, with large text vectors being truncated, might not be that
useful. You might
Kinda looks like you didn't specify the right input file. That job
expects the delimited values from the synthetic control download,
converts them to vectors and clusters them. The vectors are of
cardinality 60 but somehow your input data generated 1151 elements. I'd
look there.
On 2/4/13
Maybe a typo? I would expect folder 16 to follow folder 15. For many
reasons though, the cluster numbers may not be monotonic. Suggest you
just iterate over the directories that are presented, their names should
correspond to the clusterIds that exist in you clusters-final directory.
On
Sorry, sure, I meant 17 instead of 16... too tired. Thanks for the
info, so there's nothing to worry about.
-Ursprüngliche Mitteilung-
Von: Jeff Eastman j...@windwardsolutions.com
An: user user@mahout.apache.org
Verschickt: Di, 5 Feb 2013 12:03 am
Betreff: Re:
I am trying to classify mails
On Tue, Feb 5, 2013 at 12:10 AM, Jake Mannix jake.man...@gmail.com wrote:
On Mon, Feb 4, 2013 at 12:53 AM, VIGNESH S vigneshkln...@gmail.com wrote:
Hi Jake,
Thanks for your comments..
What is understood from your comment is Incase of Training,we can use
Thanks Jake..
If i use this model in a mobile device,will i be able to update the
model with new training values..
For Example:
Based on the Model,it is classifying some new mail as spam..But it is
not Spam so User select it as not Spam..
Will I be able to update the training model
Dear Sir
I followed the instruction for implementing random forest.
https://cwiki.apache.org/MAHOUT/partial-implementation.html
I got the error that Failed to load Main-Class manifest attribute from.
Please give me some insights. Thanks.
Thanks and Regards
Prabu
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