Struct SparseMatrix 

pub struct SparseMatrix {
    pub row_indices: Vec<usize>,
    pub col_indices: Vec<usize>,
    pub values: Vec<f64>,
    pub shape: (usize, usize),
    pub sparsity: f64,
}

Sparse matrix representation for missing data patterns

Fields

row_indices: Vec<usize>

Row indices for non-missing values

col_indices: Vec<usize>

Column indices for non-missing values

values: Vec<f64>

Non-missing values

shape: (usize, usize)

Matrix dimensions

sparsity: f64

Sparsity ratio (fraction of missing values)

Implementations

impl SparseMatrix

pub fn from_dense(array: &Array2<f64>, missing_value: f64) -> Self

Create a sparse matrix from a dense array

pub fn to_dense(&self, missing_value: f64) -> Array2<f64>

Convert back to dense array with missing values filled

pub fn get(&self, row: usize, col: usize) -> Option<f64>

Get non-missing value at specific coordinates

pub fn is_beneficial(&self) -> bool

Check if the matrix is sparse enough to benefit from sparse representation

pub fn memory_savings(&self) -> f64

Calculate memory savings compared to dense representation

Trait Implementations

impl Clone for SparseMatrix

fn clone(&self) -> SparseMatrix

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for SparseMatrix

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

Formats the value using the given formatter.