Enum SparsityScaling 

pub enum SparsityScaling {
    Fixed,
    SquareRoot,
    Logarithmic,
    Custom {
        a: f64,
        b: f64,
        c: f64,
    },
}

Sparsity scaling modes for dynamic dimension handling

Variants

Fixed

Fixed density - nnz scales linearly with dimension Good for: Consistent memory usage per dimension

SquareRoot

Square root scaling - nnz scales as sqrt(dimension) Good for: Maintaining constant similarity precision Formula: target_nnz = base_nnz * sqrt(dim / base_dim)

Logarithmic

Logarithmic scaling - nnz scales as log(dimension) Good for: Memory-constrained environments with large dimensions Formula: target_nnz = base_nnz * log(dim) / log(base_dim)

Custom

Custom scaling with user-provided function coefficients Formula: target_nnz = a * dim^b + c

Fields

a: f64

b: f64

c: f64

Trait Implementations

impl Clone for SparsityScaling

fn clone(&self) -> SparsityScaling

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for SparsityScaling

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

Formats the value using the given formatter.

impl Default for SparsityScaling

fn default() -> SparsityScaling

Returns the “default value” for a type.

impl<'de> Deserialize<'de> for SparsityScaling

fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl PartialEq for SparsityScaling

fn eq(&self, other: &SparsityScaling) -> 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 Serialize for SparsityScaling

fn serialize<__S>(&self, __serializer: __S) -> Result<__S::Ok, __S::Error>

where __S: Serializer,

Serialize this value into the given Serde serializer.

impl Copy for SparsityScaling

impl StructuralPartialEq for SparsityScaling