[R] On-line machine learning packages?

[Jay]

If the answer is so obvious, could somebody please spell it out?


On Sep 11, 10:59 pm, Jason Edgecombe <ja... at rampaginggeek.com> wrote:
> Try this:
>
> http://cran.r-project.org/web/views/MachineLearning.html
>
> On 09/11/2011 12:43 PM, Jay wrote:
>
>
>
> > Hi,
>
> > I used the rseek search engine to look for suitable solutions, however
> > as I was unable to find anything useful, I'm asking for help.
> > Anybody have experience with these kinds of problems? I looked into
> > dynaTree, but as information is a bit scares and as I understand it,
> > it might not be what I'm looking for..(?)
>
> > BR,
> > Jay
>
> > On Sep 11, 7:15 pm, David Winsemius<dwinsem... at comcast.net>  wrote:
> >> On Sep 11, 2011, at 11:42 AM, Jay wrote:
>
> >>> What R packages are available for performing classification tasks?
> >>> That is, when the predictor has done its job on the dataset (based on
> >>> the training set and a range of variables), feedback about the true
> >>> label will be available and this information should be integrated for
> >>> the next classification round.
> >> You should look at CRAN Task Views. Extremely easy to find from the  
> >> main R-project page.
>
> >> --
> >> David Winsemius, MD
> >> West Hartford, CT
>
> >> ______________________________________________
> >> R-h... at r-project.org mailing listhttps://stat.ethz.ch/mailman/listinfo/r-help
> >> PLEASE do read the posting guidehttp://www.R-project.org/posting-guide.html
> >> and provide commented, minimal, self-contained, reproducible code.
> > ______________________________________________
> > R-h... at r-project.org mailing list
> >https://stat.ethz.ch/mailman/listinfo/r-help
> > PLEASE do read the posting guidehttp://www.R-project.org/posting-guide.html
> > and provide commented, minimal, self-contained, reproducible code.
>
> ______________________________________________
> R-h... at r-project.org mailing listhttps://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guidehttp://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.