GrideSearchCV() with lssvm

[Navien2]

Kindly , I tried use this package with LSSVM , but could not do it, please could you help ? Can I add the lssvm file to this project from :

add lssvm to this part of the code available_trainers = c("XGBTrainer", "RFTrainer", "NBTrainer"),

https://github.com/cran/kernlab/blob/master/R/lssvm.R ??

[Navien2]

Can I add the lssvm file to this project.

[saraswatmks]

@Navien2 Why not use that package directly? I am trying to understand your usecase to add it to this project?

[Navien2]

You have the GridesearchCV() code in R in this part in Github: https://github.com/saraswatmks/superml/blob/master/R/GridSearch.R but your code does not work with ( LSSVM( least square support vector machine) no such classifier file in your code files .

I have LSSVM code in R from https://github.com/cran/kernlab/blob/master/R/lssvm.R i add it to your code files but had errors ???? Please could you help me with it

[saraswatmks]

@Navien2 Ok, I'll try to add it this week to this package. Will update you soon. Regards.

[saraswatmks]

@Navien2 could you provide me a working example of lssvm model? I tried the following code but it throws error.

library(kernlab)

iris <- unique(iris)

rbf <- rbfdot(0.5)

k <- kernelMatrix(rbf, as.matrix(iris[,-5]))

klir <- lssvm(k, iris[, 5], type='classification', kernel='matrix')

# Error in type(ret) <- match.arg(type, c("classification", "regression")) : 
#     could not find function "type<-"

[Navien2]

Dear Manish, I hope you are doing well. could you fix the issue with LSSVM ? best

On Tue, Oct 10, 2023 at 7:58 AM Manish Saraswat @.***> wrote:

@Navien2 https://github.com/Navien2 could you provide me a working example of lssvm model? I tried the following code but it throws error.

library(kernlab)

iris <- unique(iris)

rbf <- rbfdot(0.5)

k <- kernelMatrix(rbf, as.matrix(iris[,-5]))

klir <- lssvm(k, iris[, 5], type='classification', kernel='matrix')

Error in type(ret) <- match.arg(type, c("classification", "regression")) :

could not find function "type<-"

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