Hello,
When i try to kill a process i am unable to find the process id after using the
command :hadoop job -list
It says no jobs running.
i am running the canopy clustering example by typing the following command:
mahout org.apache.mahout.clustering.syntheticcontrol.canopy.Job --input --output
to build the "result" map. Any
idea how do i fix this.??
I am working on a dataset of size 40mb. I had tried increaseing the heap
space but with no luck.
Thanks
Gaurav
the vectors might be too large. How many
> dimensions are you having in your Vector?
>
>
> On 04-11-2011 10:57, gaurav redkar wrote:
>
>> Hello,
>>
>> I am in a fix with the Clusterdumper utility. The clusterdump utility
>> crashes when it tries to ou
ich will
> populate only the dimensions which you are using. This can also decrease
> memory consumption.
>
>
> On 04-11-2011 11:19, gaurav redkar wrote:
>
>> Hi,
>>
>> yes Paritosh..even i think the same. actually i am using a test data set
>> that has 5000 tup
lusterFilter > 0 , which might help in reducing
> the number of clusters that you are getting as output, which, in turn,
> might help in less memory usage.
>
>
> On 04-11-2011 11:43, gaurav redkar wrote:
>
>> Actually i have to run the meanshift algorithm on a large dataset
sterId does not exist){
>create directory of name clusterId
>}
> writeVectorInDirectoryNamedClu**sterId();
>
> }
>
> On 04-11-2011 12:09, gaurav redkar wrote:
>
>> Thanks a lot for ur help. Yes i will be running it on a hadoop cluster.
>> Can
>> u elab
Hi.. I am unable to identify where is the clusterPoints() function in the
MeanShiftCanopyClusterer.java file being called during the execution of
Meanshift job.
What i need to know is where are the files in clusteredPoints n clusters-*
directory being written when we run the job on hadoop.
build
Wed, Nov 9, 2011 at 11:27 PM, Jeff Eastman wrote:
> See inline,
> Jeff
>
> -----Original Message-
> From: gaurav redkar [mailto:gauravred...@gmail.com]
> Sent: Wednesday, November 09, 2011 4:09 AM
> To: user@mahout.apache.org
> Subject: meanshift clustering
&
Hello
After using clusterdumper on the output generated by meanshift algorithm, i
see following type of result.
MSV-441 {n=2 c=[0.003, -0.002,0.005,0.001,etc
MSV-770{n=1 c=[0:-0.025,1:0.011,2:0.032,..etc
As seen above in MSV-441 there is no presence of ":" in the output whereas
MSV-770 h
correct and
do exist in the data set with correct value of their support.
Can anyone please explain me the reason??
Thanks!!
--
regards
Gaurav Singh
--
regards
Gaurav Singh
--
regards
Gaurav Singh
That seems to make sense. What do you mean by " Mahout will not report any
of those unless the support is strictly greater
than 3. " Is there a way for me to get all the patterns with support
strictly greater then a particular value?
Thanks
Gaurav
On Mon, Dec 19, 2011 at 4:58 PM,
You were a real help Tom!
Thanks
Gaurav
On Mon, Dec 19, 2011 at 5:33 PM, Tom Pierce wrote:
> Maybe it's easiest to give an example.
>
> If you have input:
>
> a b c
> a b c d
> ac d
> a b c
>
> You should expect Mahout to output (say, for support 2):
&g
Hello,
wen I ran the ClusterOutputPostProcessor on synthetic_control_data in
mapreduce mode, I observed that one directory contained points belonging to
2 other clusters and the directories relating to those 2 clusters were not
created as their "part- *" files were empty and the function
"movePart
this
class errors, like
hadoop-0.19.1-core.jar,com.google.common.source_1.0.0.201004262004.jar etc
to resolve many of the imported packages like
com.google.common.io.Closeable etc. Did I do the right thing? Please any
detailed light on its functioning would be great.
Thanks everyone!
--
regards
Gaurav Singh
in d directory for each cluster.
Any idea why is this happening ...?
PS: the dataset on which i tested the algorithm has 1000 records with 200
attributes per record. I can share the dataset that i have used if needed.
Thanks,
Gaurav
On Fri, Jan 6, 2012 at 6:12 PM, Paritosh Ranjan wrote
Hello. As Jeff mentioned, i created a JIRA issue. Kindly check out
MAHOUT-966 <https://issues.apache.org/jira/browse/MAHOUT-966> and share
your inputs.
Thanks,
Gaurav
On Wed, Jan 25, 2012 at 8:51 PM, Jeff Eastman wrote:
> Mean Shift accumulates the pointIds of every point assigned to
Hi,
When you say decision trees, you mean decision forest right? Is it possible
to expect decision tree algorithm (C 4.5) to be in mahout, since the
algorithm is pretty sequential in nature and won't be suitable for
distributed processing.
Regards
Gaurav
On Tue, Feb 7, 2012 at 2:49 AM, Sh
Hi.. The clusteredPoints directory contains sequence files where each
record is a pair. The format of each record is
basically, this directory contains the mapping of each point in the dataset
and the clusterID of the cluster to which it belongs.
IntWritable is the clusterID of the cluster; We
If that is the only thing that is contained in the part-r-* file, then the
reducer responsible to write to that part-r-* file did not recieve any
input records to write to it. This happens because the program uses the
default hash partitioner which sometimes maps records belonging to
different clus
b 26, 2012 at 9:39 PM, tom wrote:
> Hi Gaurav,
>
> The patterns are accumulated in a heap (see FrequentPatternMaxHeap), which
> uses isSubPatternOf.
>
> That said, I do think the default implementation of PFPGrowth will get you
> many redundant patterns under cer
to hear if this persists after trying --useFPG2.
>
> -tom
>
>
>
> On 02/26/2012 12:06 PM, gaurav singh wrote:
>
>> Hi Tom,
>>
>> I don't understand, why do you say I will get a lot of redundant patterns?
>> In each group dependent shard generates patterns wi
ement in each column (ignoring the 0's in the
diagonal) which will give me
1.4 ,1.36 , 1.36.
to choose the value of t2 i intend to take mean of all the minimum
elements in each column.
then select the mean of these values , t2=1.37
Any comments on the approach
Thanks
Gaurav
On Fri, May 1
s for your help,
Gaurav
.
I just wish to know if it can be directly used with kmeans or I will have
to write or customize kmeans for my purpose?
Thanks for any help offered!
--
Regards
Gaurav Singh
Dunning wrote:
> Yeah... you can probably do this. It will involve storing your matrices as
> vectors and probably requires that they be the same size.
>
> Can you say more about the matrices in terms of size and how you compute
> distance?
>
> On Wed, Jun 20, 2012 at 1:42 AM,
subtracting one matrix from another
and the elements of resulting matrix should be squared and added.
On Wed, Jun 20, 2012 at 5:38 PM, gaurav singh wrote:
> Hi,
>
> The matrix if sparse can be very large like 1000 X 1000 but it will only
> have at most 20 non-zero elements. That is
Hi Svetlomir,
You can use ClassifierContext class (
https://builds.apache.org/hudson/job/Mahout-Quality/javadoc/index.html?org/apache/mahout/common/StringTuple.html)
to get the top N matching result and their respective scores.
Hope it helps.
Thanks
Gaurav
ill work.
Have you read Renny's paper?
http://citeseer.ist.psu.edu/viewdoc/summary?doi=10.1.1.13.8572
****
Thanks
gaurav
On Wed, May 4, 2011 at 6:16 PM, Svetlomir Kasabov <
skasa...@smail.inf.fh-brs.de> wrote:
> Hello Gaurav,
>
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