Crate nabled 

nabled

nabled is an ndarray-native numerical library focused on production-grade linear algebra and ML-oriented primitives.

Crate Layout

1. core for shared error taxonomy, validation, and ndarray prelude exports.
2. linalg for linear algebra and decomposition domains.
3. ml for ML-oriented numerical routines.

Feature Flags

1. blas: enables ndarray/blas in lower crates.
2. openblas-system: enables provider-backed LAPACK paths via system OpenBLAS.
3. openblas-static: enables provider-backed LAPACK paths via statically linked OpenBLAS.
4. netlib-system: enables provider-backed LAPACK paths via system Netlib LAPACK.
5. netlib-static: enables provider-backed LAPACK paths via statically linked Netlib LAPACK.
6. accelerator-rayon: enables parallel CPU kernels where implemented.
7. accelerator-wgpu: enables WGPU-backed kernel paths where implemented.

Execution Semantics

1. Provider: decomposition implementation source (internal vs selected LAPACK provider).
2. Backend: primitive-kernel execution target (CPU/WGPU).
3. Kernel: operation-family backend contract (matmat, matvec, sparse ops, tensor ops).

Quick Start

use ndarray::arr2;
use nabled::linalg::svd;

let a = arr2(&[[1.0_f64, 2.0], [3.0, 4.0]]);
let decomposition = svd::decompose(&a)?;
assert_eq!(decomposition.singular_values.len(), 2);

Optional Provider Build

cargo test -p nabled --features openblas-system

Optional Accelerator Build

cargo test -p nabled --features accelerator-wgpu

Modules

core

Shared core types, error taxonomy, and validation primitives.

linalg

Ndarray-native linear algebra domains.

ml

ML-oriented numerical domains built on ndarray-native primitives.

prelude

Common ndarray and complex-number prelude exports.