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 00:03:02 2025 |
| md5 checksum | 544b7651071f0d27f86e3227e1f2c5d0 |
| arch | x86_64 |
| build | py310h1128e8f_0 |
| 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, python >=3.10,<3.11.0a0, blas * mkl |
| license | BSD-3-Clause |
| license_family | BSD |
| md5 | 544b7651071f0d27f86e3227e1f2c5d0 |
| name | mkl_random |
| platform | linux |
| sha1 | 606c4b8d409c2e1acf48fa1ffec039395369122b |
| sha256 | 7364465b43fe264b5c0e5d520b47440defd52e52ad546657289e478fcd13bf38 |
| size | 326075 |
| subdir | linux-64 |
| timestamp | 1730824069755 |
| version | 1.2.8 |