[R] On-line machine learning packages?

Tue Sep 13 12:26:11 CEST 2011

 You posed a very vague question: what packages are available for
classification tasks. Then you respond by saying that you have done some
searching to no avail on Rseek, not specifying what it

Providing you with answers is purely voluntary for the people on the
mailing list. Sending vague, incomplete questions gets you vague
incomplete answers. Take a look at the posting guide for some tips on
how to write a good, to the point, mail.

PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.

Paul

On 09/13/2011 06:35 AM, Jay wrote:
> How does sequential classification differ form running a one-off
> classifier for each run?
> -> Because feedback from the previous round can and needs to be
> incorporated into the ext round.
>
>
> http://lmgtfy.com/?q=R+machine+learning
> -> That is a new low. I was hoping to get help, oblivious I was wrong
> to use this forum in the hopes of somebody had already battled these
> kinds of problems in R.
>
>
> On Sep 13, 1:52 am, Jason Edgecombe <ja... at rampaginggeek.com> wrote:
>> I already provided the link to the task view, which provides a list of
>> the more popular machine learning algorithms for R.
>>
>> Do you have a particular algorithm or technique in mind? Does it have a
>> name?
>>
>> How does sequential classification differ form running a one-off
>> classifier for each run?
>>
>> On 09/12/2011 05:24 AM, Jay wrote:
>>
>>
>>
>>> In my mind this sequential classification task with feedback is
>>> somewhat different from an completely offline, once-off,
>>> classification. Am I wrong?
>>> However, it looks like the mentality on this topic is to refer me to
>>> cran/google in order to look for solutions myself. Oblivious I know
>>> about these sources, and as I said, I used rseek.org among other
>>> sources to look for solutions. I did not start this topic for fun, I'm
>>> asking for help to find a suitable machine learning packages that
>>> readily incorporates feedback loops and online learning. If somebody
>>> has experience these kinds of problems in R, please respond.
>>> Or will
>>> "http://cran.r-project.org
>>> Look for 'Task Views'"
>>> be my next piece of advice?
>>> On Sep 12, 11:31 am, Dennis Murphy<djmu... at gmail.com>  wrote:
>>>> http://cran.r-project.org/web/views/
>>>> Look for 'machine learning'.
>>>> Dennis
>>>> On Sun, Sep 11, 2011 at 11:33 PM, Jay<josip.2... 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-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-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.

-- 
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