While a plea about struggling may seem appropriate to you, it is just as content-free as a reply telling you to use Google... and like it or not, that tit-for-tat arises due to frustration with lack of specificity as detailed by Charles. That is, if you are constructive about documenting your issue with a reproducible example and mentioning what you have tried and how it failed, you won't prompt such frustrated/unhelpful responses in the future.
Did you find [1] or [2]? [1] https://stats.stackexchange.com/questions/177677/gaussian-process-prediction-interval [2] https://stats.stackexchange.com/questions/9131/obtaining-a-formula-for-prediction-limits-in-a-linear-model/9144#9144 -- Sent from my phone. Please excuse my brevity. On December 11, 2017 9:53:01 AM PST, Damjan Krstajic <dkrsta...@hotmail.com> wrote: >Thank you Charles Berry for your kind reply. I don't see anything wrong >with the word "struggling". I have spent several hours trying various R >packages like kernlab and GPfit to use GP to create a binary >classification model which produces a prediction interval for each >sample. I have been struggling because with all of them you may create >a GP classification model but it only produces a single prediction >probability, and not a prediction interval of probabilities. Packages >that I have tried may provide a prediction interval for regression but >not for binary classification. > > >You mention "The Gaussian Processes Web Site", have you checked how >many R packages are listed there? > > >I have been coding in R for more than a decade and contact r-help when >I am struggling (I don't see anything wrong with this word) to find a >solution in R. Replies like "Google it!" are below my level of my >communication and understanding of others. > > >Best wishes > >DK > > >________________________________ >From: Berry, Charles <ccbe...@ucsd.edu> >Sent: 11 December 2017 17:04 >To: Damjan Krstajic >Cc: Bert Gunter; r-help@r-project.org >Subject: Re: Gaussian Process Classification R packages > > >> On Dec 11, 2017, at 8:06 AM, Damjan Krstajic <dkrsta...@hotmail.com> >wrote: >> >> I have kindly asked for help and I am sad to receive such a reply >from some on the r-help list. >> >> > >Well, you only said you were `struggling' to find a package. > >Bert may well have done the Google search himself and found numerous >resources on such models including links to R (as I did, see below). >If so, his response seems quite natural. > >Perhaps, you need to say what is wrong with the hits you got and the >packages that they describe to keep a potential response from running >in the wrong direction. Perhaps, you have misunderstood the >capabilities of a package or failed to grasp an inobvious way to use >the package to reach your goal. In any case, providing some background >of why you think the obvious leads do not work in your case can be >helpful. > >Doing that search myself I see links to R packages, R functions, and to >"The Gaussian Processes Web Site" which has a table of possibly >relevant softwares. It seems like there is a lot there to digest. > >HTH, > >Chuck > >> I did google it prior to sending my request, and I could not find any >R package which provides GP classification model which produces >prediction intervals for each sample. I would be grateful if anybody >could inform me about it. Thank you. >> >> >> ________________________________ >> From: Bert Gunter <bgunter.4...@gmail.com> >> Sent: 11 December 2017 15:50 >> To: Damjan Krstajic >> Cc: r-help@r-project.org >> Subject: Re: [R] Gaussian Process Classification R packages >> >> Google it! >> >> "R Gaussian process model binary classification." >> >> Cheers, >> Bert >> > > > > [[alternative HTML version deleted]] > >______________________________________________ >R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see >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. ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see 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.
