Please correct me if I am wrong.
I see Logistic Regression and Locally Weighted Linear Regression on the
algorithms page. Can't they be used for predicting the value of
continuous variables.
https://cwiki.apache.org/confluence/display/MAHOUT/Logistic+Regression
https://cwiki.apache.org/confluence/display/MAHOUT/Locally+Weighted+Linear+Regression
On 23-05-2012 12:20, Ted Dunning wrote:
Counts as machine learning to me!
On Wed, May 23, 2012 at 12:57 AM, Jason Xin<[email protected]> wrote:
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:[email protected]]
Sent: Tuesday, May 22, 2012 7:34 PM
To: [email protected]
Cc: [email protected]
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
<[email protected]>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?
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