pub fn with_kernel_params(mut self, kernel: KernelParams<F>) -> Self {
        self.kernel = kernel;

        self
    }
/// Set the kernel to use for training
///
/// This parameter specifies a mapping of input records to a new feature space by means
/// of the distance function between any couple of points mapped to such new space.
/// The SVM then applies a linear separation in the new feature space that may result in
/// a non linear partitioning of the original input space, thus increasing the expressiveness of
/// this model. To use the "base" SVM model it suffices to choose a `Linear` kernel.
Set the kernel to use for training
This parameter specifies a mapping of input records to a new feature space by means
of the distance function between any couple of points mapped to such new space.
The SVM then applies a linear separation in the new feature space that may result in
a non linear partitioning of the original input space, thus increasing the expressiveness of
this model. To use the "base" SVM model it suffices to choose a `Linear` kernel.
Set the kernel to use for training This parameter specifies a mapping of input records to a new feature space by means of the distance function between any couple of points mapped to such new space . The SVM then applies a linear separation in the new feature space that may result in a non linear partitioning of the original input space thus increasing the expressiveness of this model . To use the " base " SVM model it suffices to choose a ` Linear ` kernel .
pub fn with_kernel_params(mut self, kernel: KernelParams<F>) -> Self {
        self.kernel = kernel;
        self
    }
pub fn with_kernel_params ( mut self , kernel : KernelParams < F > ) -> Self { self . kernel = kernel ; self }
Set the kernel to use for training
This parameter specifies a mapping of input records to a new feature space by means
of the distance function between any couple of points mapped to such new space.
Set the kernel to use for training This parameter specifies a mapping of input records to a new feature space by means of the distance function between any couple of points mapped to such new space .
mut self
kernel
KernelParams<F>
mut self
kernel
KernelParams<F>