??
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 <javedbtk...@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]]
>
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> and provide commented, minimal, self-contained, reproducible code.
>
[[alternative HTML version deleted]]
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