Thanks for your reply. I am not using any specific package for bwplot. I just used caret, nnet and gbm packages. When I use resample (instead of resamples), it give me error message. metric=MAE gives the MAE values at x-axis when I used simple plots in the recent past. Best regards On Thu, Feb 20, 2020 at 10:29 PM Bert Gunter <bgunter.4567 at gmail.com> wrote:> cc the list! > (which I have done here) > > 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 Thu, Feb 20, 2020 at 1:20 PM javed khan <javedbtk111 at gmail.com> wrote: > >> Thanks for your reply. >> >> I am not using any specific package for bwplot. I just used caret, nnet >> and gbm packages. >> >> When I use resample (instead of resamples), it give me error message. >> >> metric=MAE gives the MAE values at x-axis when I used simple plots in the >> recent past. >> >> Best regards >> >> On Thu, Feb 20, 2020 at 10:15 PM Bert Gunter <bgunter.4567 at gmail.com> >> wrote: >> >>> ?? >>> Isn't is resample() not resamples()? >>> From what package? >>> What package is bwplot from? lattice:::bwplot has no "metric" argument. >>> >>> >>> >>> 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 Thu, Feb 20, 2020 at 12:55 PM javed khan <javedbtk111 at gmail.com> >>> wrote: >>> >>>> Hello to all >>>> >>>> I have different train functions for NN, SVM and GBM and when I combine >>>> the >>>> results using bwplot, it gives me the error " Different number of >>>> resamples >>>> in each model". It gives me the results (MAE values) but using the >>>> boxplot, >>>> it gives the error. The code is as follows: >>>> >>>> set.seed(30218) >>>> nnet1 <- train(results~ ., data = tr, >>>> method = "nnet", >>>> >>>> metric = "MAE", >>>> trControl = ctrl, >>>> >>>> preProc = c("center", "scale", "zv"), >>>> tuneGrid = data.frame(decay = (1), >>>> size = (1.3801517))) >>>> nnet1$results >>>> >>>> ///For SVM >>>> >>>> set.seed(30218) >>>> svm1 <- train(results ~ ., data = tr, >>>> method = "svmRadial", >>>> >>>> metric = "MAE", >>>> preProc = c("center", "scale", "zv"), >>>> trControl = ctrl, >>>> tuneGrid=expand.grid(sigma = (0.5), >>>> C = c(1.348657))) >>>> getTrainPerf(svm1) >>>> svm1$results >>>> >>>> //For GBM >>>> >>>> set.seed(30218) >>>> gbm <- train(results ~ ., data = tr, >>>> method = "gbm", >>>> preProc = c("center", "scale", "zv"), >>>> metric = "MAE", >>>> >>>> >>>> tuneGrid = data.frame(n.trees = (200.09633523), >>>> interaction.depth = (1), >>>> shrinkage=(0.1), >>>> n.minobsinnode=(10))) >>>> gbm$results >>>> >>>> //Then the boxplot >>>> >>>> rvalues=resamples(list(nnet=nnet1, svm=svm1, GBM=gbm)) >>>> >>>> bwplot(rvalues, metric="MAE") >>>> >>>> [[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. >>>> >>>[[alternative HTML version deleted]]
You are being way too cavalier about what packages you are using. Read the Posting Guide about contributed packages... this list cannot provide expert support for every package out there. This confusion is why you should be providing a reproducible example when you ask for help about R. The caret package depends on lattice and provides some overloaded versions of the bwplot function that do have a metric argument. I have no expertise with caret myself... but recommend that you supply a reproducible example for best luck in prompting someone to look closer. On February 20, 2020 1:31:30 PM PST, javed khan <javedbtk111 at gmail.com> wrote:>Thanks for your reply. > >I am not using any specific package for bwplot. I just used caret, nnet >and >gbm packages. > >When I use resample (instead of resamples), it give me error message. > >metric=MAE gives the MAE values at x-axis when I used simple plots in >the >recent past. > >Best regards > >On Thu, Feb 20, 2020 at 10:29 PM Bert Gunter <bgunter.4567 at gmail.com> >wrote: > >> cc the list! >> (which I have done here) >> >> 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 Thu, Feb 20, 2020 at 1:20 PM javed khan <javedbtk111 at gmail.com> >wrote: >> >>> Thanks for your reply. >>> >>> I am not using any specific package for bwplot. I just used caret, >nnet >>> and gbm packages. >>> >>> When I use resample (instead of resamples), it give me error >message. >>> >>> metric=MAE gives the MAE values at x-axis when I used simple plots >in the >>> recent past. >>> >>> Best regards >>> >>> On Thu, Feb 20, 2020 at 10:15 PM Bert Gunter ><bgunter.4567 at gmail.com> >>> wrote: >>> >>>> ?? >>>> Isn't is resample() not resamples()? >>>> From what package? >>>> What package is bwplot from? lattice:::bwplot has no "metric" >argument. >>>> >>>> >>>> >>>> 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 Thu, Feb 20, 2020 at 12:55 PM javed khan <javedbtk111 at gmail.com> >>>> wrote: >>>> >>>>> Hello to all >>>>> >>>>> I have different train functions for NN, SVM and GBM and when I >combine >>>>> the >>>>> results using bwplot, it gives me the error " Different number of >>>>> resamples >>>>> in each model". It gives me the results (MAE values) but using the >>>>> boxplot, >>>>> it gives the error. The code is as follows: >>>>> >>>>> set.seed(30218) >>>>> nnet1 <- train(results~ ., data = tr, >>>>> method = "nnet", >>>>> >>>>> metric = "MAE", >>>>> trControl = ctrl, >>>>> >>>>> preProc = c("center", "scale", "zv"), >>>>> tuneGrid = data.frame(decay = (1), >>>>> size = (1.3801517))) >>>>> nnet1$results >>>>> >>>>> ///For SVM >>>>> >>>>> set.seed(30218) >>>>> svm1 <- train(results ~ ., data = tr, >>>>> method = "svmRadial", >>>>> >>>>> metric = "MAE", >>>>> preProc = c("center", "scale", "zv"), >>>>> trControl = ctrl, >>>>> tuneGrid=expand.grid(sigma = (0.5), >>>>> C = c(1.348657))) >>>>> getTrainPerf(svm1) >>>>> svm1$results >>>>> >>>>> //For GBM >>>>> >>>>> set.seed(30218) >>>>> gbm <- train(results ~ ., data = tr, >>>>> method = "gbm", >>>>> preProc = c("center", "scale", "zv"), >>>>> metric = "MAE", >>>>> >>>>> >>>>> tuneGrid = data.frame(n.trees = (200.09633523), >>>>> interaction.depth = (1), >>>>> shrinkage=(0.1), >>>>> n.minobsinnode=(10))) >>>>> gbm$results >>>>> >>>>> //Then the boxplot >>>>> >>>>> rvalues=resamples(list(nnet=nnet1, svm=svm1, GBM=gbm)) >>>>> >>>>> bwplot(rvalues, metric="MAE") >>>>> >>>>> [[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. >>>>> >>>> > > [[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.-- Sent from my phone. Please excuse my brevity.
The whole code is as follows:
library(caret)
library(farff)
library(gbm)
library(nnet)
setwd("C:/Users/PC/Documents")
d=readARFF("myresults.arff")
index <- createDataPartition(d$results, p = .70,list = FALSE)
tr <- d[index, ]
ts <- d[-index, ]
index_2 <- createFolds(tr$results, returnTrain = TRUE, list = TRUE)
ctrl <- trainControl(method = "repeatedcv", index = index_2)
set.seed(30218)
nnet1 <- train(results~ ., data = tr,
method = "nnet",
metric = "MAE",
trControl = ctrl,
preProc = c("center", "scale",
"zv"),
tuneGrid = data.frame(decay = (1),
size = (1.3801517)))
nnet1$results
///For SVM
set.seed(30218)
svm1 <- train(results ~ ., data = tr,
method = "svmRadial",
metric = "MAE",
preProc = c("center", "scale",
"zv"),
trControl = ctrl,
tuneGrid=expand.grid(sigma = (0.5),
C = c(1.348657)))
getTrainPerf(svm1)
svm1$results
//For GBM
set.seed(30218)
gbm <- train(results ~ ., data = tr,
method = "gbm",
preProc = c("center", "scale", "zv"),
metric = "MAE",
tuneGrid = data.frame(n.trees = (200.09633523),
interaction.depth = (1),
shrinkage=(0.1), n.minobsinnode=(10)))
gbm$results
//Then the boxplot
rvalues=resamples(list(nnet=nnet1, svm=svm1, GBM=gbm))
bwplot(rvalues, metric="MAE")
On Fri, Feb 21, 2020 at 12:16 AM Jeff Newmiller <jdnewmil at
dcn.davis.ca.us>
wrote:
> You are being way too cavalier about what packages you are using. Read the
> Posting Guide about contributed packages... this list cannot provide expert
> support for every package out there. This confusion is why you should be
> providing a reproducible example when you ask for help about R.
>
> The caret package depends on lattice and provides some overloaded versions
> of the bwplot function that do have a metric argument. I have no expertise
> with caret myself... but recommend that you supply a reproducible example
> for best luck in prompting someone to look closer.
>
> On February 20, 2020 1:31:30 PM PST, javed khan <javedbtk111 at
gmail.com>
> wrote:
> >Thanks for your reply.
> >
> >I am not using any specific package for bwplot. I just used caret, nnet
> >and
> >gbm packages.
> >
> >When I use resample (instead of resamples), it give me error message.
> >
> >metric=MAE gives the MAE values at x-axis when I used simple plots in
> >the
> >recent past.
> >
> >Best regards
> >
> >On Thu, Feb 20, 2020 at 10:29 PM Bert Gunter <bgunter.4567 at
gmail.com>
> >wrote:
> >
> >> cc the list!
> >> (which I have done here)
> >>
> >> 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 Thu, Feb 20, 2020 at 1:20 PM javed khan <javedbtk111 at
gmail.com>
> >wrote:
> >>
> >>> Thanks for your reply.
> >>>
> >>> I am not using any specific package for bwplot. I just used
caret,
> >nnet
> >>> and gbm packages.
> >>>
> >>> When I use resample (instead of resamples), it give me error
> >message.
> >>>
> >>> metric=MAE gives the MAE values at x-axis when I used simple
plots
> >in the
> >>> recent past.
> >>>
> >>> Best regards
> >>>
> >>> On Thu, Feb 20, 2020 at 10:15 PM Bert Gunter
> ><bgunter.4567 at gmail.com>
> >>> wrote:
> >>>
> >>>> ??
> >>>> Isn't is resample() not resamples()?
> >>>> From what package?
> >>>> What package is bwplot from? lattice:::bwplot has no
"metric"
> >argument.
> >>>>
> >>>>
> >>>>
> >>>> 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 Thu, Feb 20, 2020 at 12:55 PM javed khan
<javedbtk111 at gmail.com>
> >>>> wrote:
> >>>>
> >>>>> Hello to all
> >>>>>
> >>>>> I have different train functions for NN, SVM and GBM
and when I
> >combine
> >>>>> the
> >>>>> results using bwplot, it gives me the error "
Different number of
> >>>>> resamples
> >>>>> in each model". It gives me the results (MAE
values) but using the
> >>>>> boxplot,
> >>>>> it gives the error. The code is as follows:
> >>>>>
> >>>>> set.seed(30218)
> >>>>> nnet1 <- train(results~ ., data = tr,
> >>>>> method = "nnet",
> >>>>>
> >>>>> metric = "MAE",
> >>>>> trControl = ctrl,
> >>>>>
> >>>>> preProc = c("center",
"scale", "zv"),
> >>>>> tuneGrid = data.frame(decay = (1),
> >>>>> size =
(1.3801517)))
> >>>>> nnet1$results
> >>>>>
> >>>>> ///For SVM
> >>>>>
> >>>>> set.seed(30218)
> >>>>> svm1 <- train(results ~ ., data = tr,
> >>>>> method = "svmRadial",
> >>>>>
> >>>>> metric = "MAE",
> >>>>> preProc = c("center",
"scale", "zv"),
> >>>>> trControl = ctrl,
> >>>>> tuneGrid=expand.grid(sigma = (0.5),
> >>>>> C =
c(1.348657)))
> >>>>> getTrainPerf(svm1)
> >>>>> svm1$results
> >>>>>
> >>>>> //For GBM
> >>>>>
> >>>>> set.seed(30218)
> >>>>> gbm <- train(results ~ ., data = tr,
> >>>>> method = "gbm",
> >>>>> preProc = c("center",
"scale", "zv"),
> >>>>> metric = "MAE",
> >>>>>
> >>>>>
> >>>>> tuneGrid = data.frame(n.trees =
(200.09633523),
> >>>>> interaction.depth = (1),
> >>>>> shrinkage=(0.1),
> >>>>> n.minobsinnode=(10)))
> >>>>> gbm$results
> >>>>>
> >>>>> //Then the boxplot
> >>>>>
> >>>>> rvalues=resamples(list(nnet=nnet1, svm=svm1, GBM=gbm))
> >>>>>
> >>>>> bwplot(rvalues, metric="MAE")
> >>>>>
> >>>>> [[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.
> >>>>>
> >>>>
> >
> > [[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.
>
> --
> Sent from my phone. Please excuse my brevity.
>
[[alternative HTML version deleted]]