[R] How to find the absolute residuals in train function

[Michael Dewey]

Dear Javed

Comment in-line

On 22/12/2019 14:10, javed khan wrote:
> Hello
> 
> I am using caret's train function and it gives me the results (MAE or RMSE
> in this case). How can I find the absolute residuals i.e. the difference
> between the predicted and actual values of test data. I am using the
> following code, but it does not work (give error message).
> 
> bo_mod <- train(log10(Price) ~ ., data = tr,
>                  method = "svmRadial",
> 
>                  metric = "MAE",
>                  trControl = ctrl,
> 
>                  preProc = c("center", "scale", "zv"),
>                  tuneGrid = data.frame(sigma = 10^(bo_search$Best_Par[1]),
>                  C = 10^(1)))
> postResample(predict(bo_mod, ts), log10(ts$Price))/// till here I get the
> output, but when I use the following
> 
> res=log10(tr$Price) - predict(bo_search, tr)

Did you mean bo_search or bo_mod?
> 
> I get the error:  Error in UseMethod("predict") :
>    no applicable method for 'predict' applied to an object of class
> "c('double', 'numeric')"
> 
> 	[[alternative HTML version deleted]]
> 
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-- 
Michael
http://www.dewey.myzen.co.uk/home.html