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From Jason Xin <Jason....@sas.com>
Subject RE: Forecasting in Mahout
Date Wed, 23 May 2012 00:57:15 GMT
A 'regular' regression may not qualify as machine-learning, although machines definitely can
learn regular regression. If data set is too large, your R may crash. That is, most of R programs
today. 

-----Original Message-----
From: Ted Dunning [mailto:ted.dunning@gmail.com] 
Sent: Tuesday, May 22, 2012 7:34 PM
To: user@mahout.apache.org
Cc: mahout-user@lucene.apache.org
Subject: Re: Forecasting in Mahout

That is a regression, not a classifier.  There are no good regression in Mahout just now.

How large is your data?  Is R not an option?

On Tue, May 22, 2012 at 10:31 AM, ParvathyPillai
<parvathysudhir@gmail.com>wrote:

> I am currently working on a project which deals with demand 
> forecasting and machine learning on Hadoop. I came across Mahout when researching for
this.
> From the various tutorials and 'Mahout in Action' book, I came to 
> understand that classification algorithms on Mahout though allow the 
> use of continuous predictor variables, needs the target variables to 
> be categorical. Is it possible to apply these classification 
> algorithms for predicting the values of continuous variables, 
> essentially like demand? If so, how?
>
> --
> View this message in context:
> http://lucene.472066.n3.nabble.com/Forecasting-in-Mahout-tp3985365.htm
> l Sent from the Mahout User List mailing list archive at Nabble.com.
>
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