I have gone through http://mahout.apache.org for some data mining
algorithms already implemented on the Hadoop plattform.
From that i understood that
1. Kmeans
2. Decision Tree
3. Navie Bayes
Have implementation in hadoop platform
And for
4. DBscan
5. k-mearesr neighbr
6. svm
7. Logistic
k nearest neibhor, svm, logistic regression, neural nets exist in mahout .
just type mahout and press enter you ll see list of algorithms available
and type mahout algo-name -h to get detailed information about how to use
/configure them
Pavan
On Nov 25, 2013 2:44 PM, unmesha sreeveni
From the algorithms listed, only logistic regression (non-distributed)
is implemented.
Sorry, for the confusion, we are currently reworking the wiki.
On 25.11.2013 10:24, Pavan K Narayanan wrote:
k nearest neibhor, svm, logistic regression, neural nets exist in mahout .
just type mahout and
So currently we dnt have Decision Tree in mahout 0.6 release.
On Mon, Nov 25, 2013 at 2:59 PM, Sebastian Schelter ssc.o...@googlemail.com
wrote:
From the algorithms listed, only logistic regression (non-distributed)
is implemented.
Sorry, for the confusion, we are currently reworking the
Hi Unmesha,
please also consult JIRA as a source for algorithm, there you find
implementations or discussions:
e.g. for neural networks a.k.a multilayer perceptrons:
https://issues.apache.org/jira/browse/MAHOUT-1265
https://issues.apache.org/jira/browse/MAHOUT-976
SVM:
Hello, I disover one ebook and an article which help me about my problem:
the article :http://www.csulb.edu/web/journals/jecr/issues/20044/Paper1.pdf
the ebook :
http://www.amazon.fr/gp/product/B00BEQ82FY/ref=oh_d__o00_details_o00__i00?ie=UTF8psc=1
very interesting
2013/11/23 Manuel
Hey Suneel, thanks for the reply. I'm trying to create hierarchical
clusters via top down approach. I'm caught in the trade off between the
lower canopy threshold and running out of heap memory. Stream Kmeans
sounds ideal for top clustering. What are the major differences between
Streaming kmeans
On Mon, Nov 25, 2013 at 3:14 AM, Manuel Blechschmidt
manuel.blechschm...@gmx.de wrote:
There are/were multiple kNN implementation in Mahout:
Recommender knn
Hello -
If this isn't the best forum to ask, please let me know.
TL;DR;
Is there a way to stream preference/user data to an EMR recommender workflow
without having to go through the pain of re-uploading all preference data, and
starting brand new jobs over and over, etc?
I am trying to
Hi Bryan,
On 25.11.2013, at 17:14, Bryan Marble wrote:
Hello -
If this isn't the best forum to ask, please let me know.
This is the correct forum to ask this question.
TL;DR;
Is there a way to stream preference/user data to an EMR recommender workflow
without having to go through
Hello,
please for my first install of Mahout, I have this error on eclipse
java.io.ioexception: Failed to set permissions of path on many tests.
please , could someone help me fix it. thanks
Hi all, I have been experiencing memory issue while working with Mahout
canopy algorithm on big set of data on Hadoop. I notice that only one
reducer was running while other nodes were idle. I was wondering if
increasing the number of reduce tasks would ease down the memory usage and
speed up
Canopy Clustering is a 2 step process: Canopy Generation followed by Canopy
Clustering.
For Canopy Generation, it uses a single reducer (and this cannot be overidden),
while the Clustering task uses multiple reducers.
You seem to be hitting OOM during the Canopy generation phase.
On
Thxs for the replies. I will go through those links.Thanks for spending
time for me :)
On Mon, Nov 25, 2013 at 11:59 PM, Suneel Marthi suneel_mar...@yahoo.comwrote:
Dhruv,
Could u update the patch to present trunk codebase and also create a Wiki
page for this?
On Monday, November 25,
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