pub fn nu_weight(mut self, nu: F) -> Self {
        self.nu = Some((nu, nu));
        self.c = None;

        self
    }
/// Set the Nu value for classification
///
/// The Nu value should lie in range [0, 1] and sets the relation between support vectors and
/// solution performance.
Set the Nu value for classification
The Nu value should lie in range [0, 1] and sets the relation between support vectors and
solution performance.
Set the Nu value for classification The Nu value should lie in range [ 0 1 ] and sets the relation between support vectors and solution performance .
pub fn nu_weight(mut self, nu: F) -> Self {
        self.nu = Some((nu, nu));
        self.c = None;
        self
    }
pub fn nu_weight ( mut self , nu : F ) -> Self { self . nu = Some ( ( nu , nu ) ) ; self . c = None ; self }
Set the Nu value for classification
The Nu value should lie in range [0, 1] and sets the relation between support vectors and
solution performance.
Set the Nu value for classification The Nu value should lie in range [ 0 1 ] and sets the relation between support vectors and solution performance .
mut self
nu
F
mut self
nu
F