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 <ccberry at ucsd.edu> Sent: 11 December 2017 17:04 To: Damjan Krstajic Cc: Bert Gunter; r-help at r-project.org Subject: Re: Gaussian Process Classification R packages> On Dec 11, 2017, at 8:06 AM, Damjan Krstajic <dkrstajic at 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.4567 at gmail.com> > Sent: 11 December 2017 15:50 > To: Damjan Krstajic > Cc: r-help at 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]]
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 <dkrstajic at 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 <ccberry at ucsd.edu> >Sent: 11 December 2017 17:04 >To: Damjan Krstajic >Cc: Bert Gunter; r-help at r-project.org >Subject: Re: Gaussian Process Classification R packages > > >> On Dec 11, 2017, at 8:06 AM, Damjan Krstajic <dkrstajic at 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.4567 at gmail.com> >> Sent: 11 December 2017 15:50 >> To: Damjan Krstajic >> Cc: r-help at 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 at 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.
For the record: I **was** trying to be helpful. I simply didn't know whether "I struggled" meant that the OP had done a web search; as Chuck mentioned, when I did one, I found what looked like possibly helpful hits. The OP's hostile response frankly surprised me, but I see no reason to respond in kind. Cheers, Bert Bert Gunter "The trouble with having an open mind is that people keep coming along and sticking things into it." -- Opus (aka Berkeley Breathed in his "Bloom County" comic strip ) On Mon, Dec 11, 2017 at 3:48 PM, Jeff Newmiller <jdnewmil at dcn.davis.ca.us> wrote:> 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 < > dkrstajic at 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 <ccberry at ucsd.edu> > >Sent: 11 December 2017 17:04 > >To: Damjan Krstajic > >Cc: Bert Gunter; r-help at r-project.org > >Subject: Re: Gaussian Process Classification R packages > > > > > >> On Dec 11, 2017, at 8:06 AM, Damjan Krstajic <dkrstajic at 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.4567 at gmail.com> > >> Sent: 11 December 2017 15:50 > >> To: Damjan Krstajic > >> Cc: r-help at 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 at 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 at 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. >[[alternative HTML version deleted]]