Enum DualMode 

pub enum DualMode {
    Auto,
    True,
    False,
}

Dual / primal optimization-problem selector for LinearSVC.

Mirrors sklearn.svm.LinearSVC’s dual parameter (sklearn/svm/_classes.py:62-71, default "auto"). Auto resolves to a concrete bool via _validate_dual_parameter (_classes.py:13-29): when n_samples < n_features it prefers dual=true (falling back to false if that penalty×loss combination has no dual solver); otherwise it prefers dual=false (falling back to true if there is no primal solver, e.g. hinge). The resolved dual selects the liblinear solver type (_get_liblinear_solver_type, _base.py:1011-1018).

Under R-DEV-7 the resolved dual is observably immaterial for penalty=l2: the l2 dual coordinate descent and the l2 primal both minimize the same strongly convex 0.5·‖w‖² + C·Σ L and reach the same coef_/intercept_. It is load-bearing only for the unsupported-combination rejects and for selecting the genuinely different l1 primal solver.

Variants

Auto

Resolve to true/false automatically via _validate_dual_parameter (_classes.py:13-29); the default.

True

Solve the dual optimization problem.

False

Solve the primal optimization problem.

Trait Implementations

impl Clone for DualMode

fn clone(&self) -> DualMode

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Copy for DualMode

impl Debug for DualMode

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Default for DualMode

fn default() -> DualMode

Returns the “default value” for a type.

impl Eq for DualMode

impl PartialEq for DualMode

fn eq(&self, other: &DualMode) -> bool

Tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &Rhs) -> bool

Tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl StructuralPartialEq for DualMode