% Generated by roxygen2: do not edit by hand
 % Please edit documentation in R/svm_classifier_class.R
 \name{svm_plot_2d}
 \alias{svm_plot_2d}

 \title{SVM scatter plot}

 \usage{
 svm_plot_2d(factor_name, npoints = 100, ...)
 }
 \arguments{

 \item{factor_name}{(character) The name of a sample-meta column to use.}

 \item{npoints}{(numeric) The number of grid points used to plot the boundary. The default is \code{100}.\cr}

 \item{...}{Additional slots and values passed to \code{struct_class}.}

 }
 \value{

 A  \code{
 svm_plot_2d
 } object. This object has no \code{output} slots.
 See \code{\link[struct]{chart_plot}} in the \code{struct} package to plot this chart object.

 }
 \description{

 A scatter plot of the input data by group and the calculated boundary of a SVM model.
 }
 \details{

 This object makes use of functionality from the following packages:\itemize{  \item{\code{e1071}}}

 }

 \section{Inheritance}{
 
 A \code{svm_plot_2d} object inherits the following \code{struct} classes: \cr\cr

 \verb{[svm_plot_2d]} >> \verb{[chart]} >> \verb{[struct_class]}

 }
 

 \examples{

 M = svm_plot_2d(
       factor_name = "V1",
       npoints = 100)
 

 D = iris_DatasetExperiment()

 M = filter_smeta(mode='exclude',levels='setosa',factor_name='Species') +
     mean_centre()+PCA(number_components=2)+
     SVM(factor_name='Species',kernel='linear')
 M = model_apply(M,D)

 
 C = svm_plot_2d(factor_name='Species')

 chart_plot(C,M[4],predicted(M[3]))

 
 }

 \references{

 Meyer D, Dimitriadou E, Hornik K, Weingessel A, Leisch F (2023).

 \emph{e1071: Misc Functions of the Department of Statistics, Probability

 Theory Group (Formerly: E1071), TU Wien}. R package version 1.7-14,

 \url{https://CRAN.R-project.org/package=e1071}.

 }