Enum ApproximationStrategy 

pub enum ApproximationStrategy {
    Sampling,
    Clustering,
    DimensionalityReduction,
    Hierarchical,
    MachineLearning,
}

Approximation strategies

Variants

Sampling

Monte Carlo sampling

Clustering

Clustering-based approximation

DimensionalityReduction

Dimensionality reduction

Hierarchical

Hierarchical approximation

MachineLearning

Machine learning approximation

Trait Implementations

impl Clone for ApproximationStrategy

fn clone(&self) -> ApproximationStrategy

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for ApproximationStrategy

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

Formats the value using the given formatter.

impl Hash for ApproximationStrategy

fn hash<__H: Hasher>(&self, state: &mut __H)

Feeds this value into the given Hasher.

fn hash_slice<H>(data: &[Self], state: &mut H)

where H: Hasher, Self: Sized,

Feeds a slice of this type into the given Hasher.

impl PartialEq for ApproximationStrategy

fn eq(&self, other: &ApproximationStrategy) -> 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 Eq for ApproximationStrategy

impl StructuralPartialEq for ApproximationStrategy