Message-ID: <310641a5-1778-d2be-f7ec-b2c93a429a05@comcast.net>
Date: 2019-11-03T16:03:43Z
From: David Winsemius
Subject: error in train function
In-Reply-To: <CAJhui+tg3FuLwL4z5nDT6L4gUxyGTe4X8YFMdchUcrTfspQCHA@mail.gmail.com>
On 11/1/19 11:27 AM, javed khan wrote:
> Hi
>
> I receive the following error, where is the problem?
>
> Error in train(Effort ~ ., data = d, method = "lpSVM", trControl =
> fitControl, :
> unused arguments (data = d, method = "lpSVM", trControl = fitControl,
> verbose = FALSE, metric = "ROC")
>
> The code is here
No library calls, so we will need to guess what packages are being assumed.
>
>
> fitControl <- trainControl(method = "repeatedcv",
> number = 10,
> repeats = 10,
> classProbs = TRUE,
> summaryFunction = twoClassSummary)
>
> myGrid <- expand.grid(interaction.depth = c(1, 5, 9),
> n.trees = (1:30)*50,
> shrinkage = 0.1,
> n.minobsinnode = 20)
> Fit3 <- train(Effort ~ ., data = d,
> method = "lpSVM",
This appears to be calling the caret::train.recipe function. I cannot
find a "lpSVM" method. Is it possible that this is simply a misspelling?
Or have you failed to create a method with that name?
In the tutorial:
https://topepo.github.io/caret/using-your-own-model-in-train.html the
package author creates a list with that name in the section entitled
"Model Components".
|lpSVM <-list(type = "Classification", library = "kernlab", loop = NULL) |
My further guess: you trying to run code fragments from some source
without fully executing parts of a multi-step process?
--
David.
> trControl = fitControl,
> verbose = FALSE, metric = "ROC")
>
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>
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