NumPy-based implementation of random number generation sampling using Intel (R) Math Kernel Library, mirroring numpy.random, but exposing all choices of sampling algorithms available in MKL.
| Uploaded | Mon Mar 31 00:03:10 2025 |
| md5 checksum | 539baa79c26e37979a9f3e1039cc5234 |
| arch | x86_64 |
| build | py39h417a72b_1 |
| build_number | 1 |
| depends | libgcc-ng >=11.2.0, libstdcxx-ng >=11.2.0, mkl >=2023.1.0,<2024.0a0, mkl-service >=2.3.0,<3.0a0, numpy >=1.16,<2.0a0, python >=3.9,<3.10.0a0, blas * mkl |
| license | BSD-3-Clause |
| license_family | BSD |
| md5 | 539baa79c26e37979a9f3e1039cc5234 |
| name | mkl_random |
| platform | linux |
| sha1 | dd73d3f8ff68472ccf1f82f59a0c7052e1db439c |
| sha256 | 3d426709da9451dd7a1baf156b95544b49cf669ababa725e2a0faca7538e7bfa |
| size | 301054 |
| subdir | linux-64 |
| timestamp | 1682950527076 |
| version | 1.2.2 |