Functions for principal component analysis and accuracy checks
This package provides fast computations for principal component analysis (PCA), SVD, and eigendecompositions via randomized methods
| System | Target | Derivation | Build status |
|---|---|---|---|
| x86_64-linux | /gnu/store/yfr4j6f6n09xnjnj8a2i9zag28k22iyz-python-fbpca-1.0.drv | ||
| riscv64-linux | /gnu/store/3r0vbysmg1prm46i86ga6czb8l1a577d-python-fbpca-1.0.drv | ||
| powerpc-linux | /gnu/store/kkyda73nc4gjzq355hc8x80qkpkspang-python-fbpca-1.0.drv | ||
| powerpc64le-linux | /gnu/store/3rlp5ngkcgcyf02nql3nhkq3dlfffq58-python-fbpca-1.0.drv | ||
| mips64el-linux | /gnu/store/jzaqg4q0d0syw5jf1m0x9jvsidll9szh-python-fbpca-1.0.drv | ||
| i686-linux | /gnu/store/9knca077qh9nsylmsdzr8aawc95mx1hq-python-fbpca-1.0.drv | ||
| armhf-linux | /gnu/store/58k37dwi2c6jz2w3wsg5h01nxyavcpzb-python-fbpca-1.0.drv | ||
| aarch64-linux | /gnu/store/cysfvbvgqdvjx89dz013skc84z12089s-python-fbpca-1.0.drv |
| Linter | Message | Location |
|---|---|---|
| No lint warnings ✓ | ||