Depending on your data size, if you need a distributed algorithm, you might consider Vowpal Wabbit (https://github.com/JohnLangford/vowpal_wabbit/wiki). It supports a squared loss function => regression.
Disclaimer: I have not used VW in distributed mode, but supposedly it can handle just about any scale you want: http://hunch.net/?p=2094 On Wed, May 23, 2012 at 8:50 AM, Ted Dunning <[email protected]> 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? > > > > > > -- > > > 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. > > > > > >
