Hi folks,
Have anyone tried to do categorization on crawl data. If yes then how can i
achieve this? Which algorithm will help me?
--
Thanks Regards:-
Vikas Parashar
Sr. Linux administrator Cum Developer
Mobile: +91 958 208 8852
Email: vikas.paras...@fosteringlinglinux.com
Hi,
I followed the Coursera Machine Learning course quite a while ago and I am
trying to find out how Mahout implements the Logistic Regression cost
function in the code surrounding AbstractOnlineLogisticRegression.
I am looking at the train method in AbstractOnlineLogisticRegression and I
see
Mahout's impl is based off of Leon Bottou's paper on this subject. I don't
gave the link handy but it's referenced in the code or try google search
Sent from my iPhone
On Jan 13, 2014, at 7:14 AM, Frank Scholten fr...@frankscholten.nl wrote:
Hi,
I followed the Coursera Machine Learning
On Mon, Jan 13, 2014 at 8:42 AM, Pavan K Narayanan
pavan.naraya...@gmail.com wrote:
Please may I ask why TSP has been removed from Mahout.
It was the Genetic Algorithms that were removed.
The implementation was unmaintained and not scalable and thus not
appropriate for Mahout.
Its just
Do you know which paper it is? He has quite a few publications. I don't see
any mention of one of his papers in the code. I only see
www.eecs.tufts.edu/~dsculley/papers/combined-ranking-and-regression.pdf in
MixedGradient but this is something different.
On Mon, Jan 13, 2014 at 1:27 PM, Suneel
There is a link on
http://mahout.apache.org/users/classification/logistic-regression.html to the
following paper:
http://www.autonlab.org/autonweb/14709/version/4/part/5/data/komarek:lr_thesis.pdf?branch=mainlanguage=en
Date: Mon, 13 Jan 2014 20:58:28 +0100
Subject: Re: Logistic Regression
I think that this is the link in the code:
http://leon.bottou.org/research/stochastic
On Mon, Jan 13, 2014 at 11:58 AM, Frank Scholten fr...@frankscholten.nlwrote:
Do you know which paper it is? He has quite a few publications. I don't see
any mention of one of his papers in the code. I
I think this is the one. Yes, I don't see this paper referenced in the code
sorry about that.
http://leon.bottou.org/publications/pdf/compstat-2010.pdf
On Monday, January 13, 2014 3:51 PM, Frank Scholten fr...@frankscholten.nl
wrote:
Do you know which paper it is? He has quite a few
Komarek paper is not what the implementation is based off of. I once was chided
by Ted on the LinkedIn Mahout forums for quoting the Komarek paper (more than 2
years ago).
Here's the link to leon bottou's paper -
http://leon.bottou.org/publications/pdf/compstat-2010.pdf
On Monday,
The reference is to the web site in general.
If anything, this blog is closest:
http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.177.3514rep=rep1type=pdf
On Mon, Jan 13, 2014 at 1:14 PM, Suneel Marthi suneel_mar...@yahoo.comwrote:
I think this is the one. Yes, I don't see this paper
Thanks guys, I have some reading to do :-)
On Mon, Jan 13, 2014 at 10:45 PM, Ted Dunning ted.dunn...@gmail.com wrote:
The reference is to the web site in general.
If anything, this blog is closest:
http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.177.3514rep=rep1type=pdf
On Mon,
Suneel:
thanks for the reply (sorry my gmail somehow put the reply into archive so
it didn't show up in my inbox)
the dictionary seems ok, at least not empty.
-sh-3.2$ ls -l sparse/
total 464
drwxr-xr-x 2 yyang15 gid-yyang15 32768 Jan 8 15:17 df-count
-rw-r--r-- 1 yyang15 gid-yyang15 203369
Does the dictionary have a Key 'zero'?
On Monday, January 13, 2014 7:37 PM, Yang tedd...@gmail.com wrote:
Suneel:
thanks for the reply (sorry my gmail somehow put the reply into archive so it
didn't show up in my inbox)
the dictionary seems ok, at least not empty.
-sh-3.2$ ls -l
I got what I was looking for -
https://issues.apache.org/jira/browse/MAHOUT-835
Thanks,
Som
On Thu, Jan 9, 2014 at 8:43 AM, Som Satpathy somsatpa...@gmail.com wrote:
Hi all,
In Mahout 0.8, the distributed Random Forest implementation doesn't seem
to be computing the out of bag error while
Hi,
I have a question about the implementation of the AbstractCluster,
I wonder what are s0, s1 and s2 used for? There is no comments on what
they represent. I would really appreciate it if someone could explain to me
in the context of the KMeans application.
Is S1 the old centroids and S2 the
Hey,
since you are already using basket analysis terms like support, confidence
and lift it might be easier for you to think of the llr score as a better
lift since it automatically puts a penalty on seldom items (you usually
use support in classic mba for that).
So, you would use the same 4
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