model_continuous_svm_linear

model continuous linear support vector machine

Usage

model_continuous_svm_linear(data, y)

Arguments

data

clean data.frame of predictors and outcome to be analyzed

y

continuous outcome name within the data.frame

Value

linear svm model

See also

Other continuous model wrappers: model_continuous_elastic_net(), model_continuous_lasso(), model_continuous_ridge()

Examples

data <- data.frame(y = mtcars$mpg, wt = mtcars$wt, hp = mtcars$hp)
model_continuous_svm_linear(data, "y")
#> 
#> Call:
#> svm.default(x = x, y = y, type = "eps-regression", kernel = "linear")
#> 
#> 
#> Parameters:
#>    SVM-Type:  eps-regression 
#>  SVM-Kernel:  linear 
#>        cost:  1 
#>       gamma:  0.5 
#>     epsilon:  0.1 
#> 
#> 
#> Number of Support Vectors:  27
#>