[R] On-line machine learning packages?

[Dennis Murphy]

http://cran.r-project.org/web/views/

Look for 'machine learning'.

Dennis

On Sun, Sep 11, 2011 at 11:33 PM, Jay <josip.2000 at gmail.com> wrote:
> 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.
>
> ______________________________________________
> R-help at r-project.org mailing list
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
>