Logistic regression can, strictly speaking, be used for regression of probabilities. The mahout implementation assumes that all of the inputs are 0 or 1.
It is, however, still a regression method. Logistic and linear regression are unified under the scheme of generalized linear modeling. There are other forms as well such as probit or Poisson regression. Each form has a natural kind of input and implies a different kind of error process. On Wed, May 23, 2012 at 7:01 AM, Philippe Adjiman <[email protected]> wrote: > I think you mix logistic regression (which is a classifier as > Ted mentioned) and (multivariables) linear regression. > What you need is the latter. > R or Matlab or Octave (others exists too) are great options if size of your > data is tractable. > > > On Wed, May 23, 2012 at 9:57 AM, Paritosh Ranjan <[email protected]> > wrote: > > > 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/Logistic+Regression> > > https://cwiki.apache.org/**confluence/display/MAHOUT/** > > Locally+Weighted+Linear+**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? > >>>> > >>>> -- > >>>> View this message in context: > >>>> http://lucene.472066.n3.**nabble.com/Forecasting-in-** > >>>> Mahout-tp3985365.htm< > http://lucene.472066.n3.nabble.com/Forecasting-in-Mahout-tp3985365.htm> > >>>> l Sent from the Mahout User List mailing list archive at Nabble.com. > >>>> > >>>> > > > > > -- > Philippe Adjiman | Research Engineer @appsfire | twitter: padjiman | > linkedin: il.linkedin.com/in/philippeadjiman | blog: > http://philippeadjiman.com/blog >
