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From Philippe Adjiman <adji...@gmail.com>
Subject Re: Forecasting in Mahout
Date Wed, 23 May 2012 07:01:41 GMT
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 <pranjan@xebia.com> 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<Jason.Xin@sas.com>  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: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<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

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