Crate ferrolearn_sparse 

ferrolearn-sparse

Sparse matrix types for the ferrolearn machine learning framework.

This crate provides three sparse matrix formats:

• CsrMatrix<T> — Compressed Sparse Row, backed by sprs::CsMat<T> in CSR storage. Efficient for row slicing and matrix-vector products. Implements the ferrolearn_core::Dataset trait when T: Float + Send + Sync + 'static.
• CscMatrix<T> — Compressed Sparse Column, backed by sprs::CsMat<T> in CSC storage. Efficient for column slicing and transpose products.
• CooMatrix<T> — Coordinate (triplet) format, backed by sprs::TriMat<T>. Convenient for incremental construction before converting to CSR/CSC.

All three types support conversion between formats, conversion to/from dense ndarray::Array2<T>, slicing, scalar multiplication, element-wise addition, and matrix-vector multiplication.

Quick Start

use ferrolearn_sparse::{CooMatrix, CsrMatrix};

// Build in COO format, then convert.
let mut coo = CooMatrix::new(3, 3);
coo.push(0, 0, 1.0_f64);
coo.push(1, 2, 4.0);
coo.push(2, 1, 7.0);

let csr = CsrMatrix::from_coo(&coo).unwrap();
let dense = csr.to_dense();
assert_eq!(dense[[0, 0]], 1.0);
assert_eq!(dense[[1, 2]], 4.0);
assert_eq!(dense[[2, 1]], 7.0);

Re-exports

pub use coo::CooMatrix;

pub use csc::CscMatrix;

pub use csr::CsrMatrix;

Modules

coo

Coordinate (COO / triplet) sparse matrix format.

csc

Compressed Sparse Column (CSC) matrix format.

csr

Compressed Sparse Row (CSR) matrix format.