[R] Median of streaming data
radhakrishnan.mohan at gmail.com
Tue Sep 30 09:57:08 CEST 2014
I came across this project(http://jwijffels.github.io/RMOA/) which
seems to be directly addressing streaming prediction.
>From the manual :
A data stream environment has different requirements from the traditional
setting. The most significant are the following:
Requirement 1 Process an example at a time, and inspect it only once (at
Requirement 2 Use a limited amount of memory
Requirement 3 Work in a limited amount of time
Requirement 4 Be ready to predict at any time
On Sat, Sep 27, 2014 at 4:23 AM, Rolf Turner <r.turner at auckland.ac.nz>
> On 26/09/14 21:48, Martin Maechler wrote:
>> Rolf Turner <r.turner at auckland.ac.nz>
>> > I have coded up the algorithm from the Cameron and Turner
>> > paper. Dunno if it gives exactly the same results as my
>> > (Splus?) code from lo these many years ago (the code that
>> > is lost in the mists of time), but it *seems* to work.
>> excellent, thank you, Rolf!
>> > It is not designed to work with actual "streaming" data
>> > --- I don't know how to do that. It takes a complete data
>> > vector as input. Someone who knows about streaming data
>> > should be able to adapt it pretty easily. Said he, the
>> > proverbial optimist.
>> I agree; that should not be hard.
>> One way is to replace 'y[ind]' by 'getY(ind)' everywhere in the code
>> and let 'getY' be an argument to rlas() provided by the user.
>> > The function code and a help file are attached. These
>> > files have had their names changed to end in ".txt" so
>> > that they will get through the mailing list processor
>> > without being stripped. With a bit of luck.
>> It did work indeed.
>> I've added them to 'robustX' -- on R-forge,
>> including a plot() method and some little more flexibility.
>> --> https://r-forge.r-project.org/R/?group_id=59
> Since I posted my previous email I have found some typos in the
> documentation and made some adjustments to the code.
> I also realized that the name "rlas" sounds a bit too much like a random
> number generator, according to R's conventions. So I have decided that
> "lasr" would be a better name.
> I hope this change of horses in midstream doesn't mess things up too much
> for you. If it does, of course feel free to stick with "rlas".
> I have attached revised *.R and *.Rd files. Not sure that the *.Rd file
> will get through as-is. Please let me know if it doesn't.
> Rolf Turner
> Technical Editor ANZJS
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