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 00:03:14 2025 |
| md5 checksum | 402bca875794d25258eed9ead690c32d |
| arch | x86_64 |
| build | py38h962f231_0 |
| depends | libgcc-ng >=7.3.0, libstdcxx-ng >=7.3.0, mkl >=2019.4,<2021.0a0, mkl-service >=2,<3.0a0, numpy >=1.11.3,<2.0a0, python >=3.8,<3.9.0a0, blas * mkl |
| license | BSD 3-Clause |
| md5 | 402bca875794d25258eed9ead690c32d |
| name | mkl_random |
| platform | linux |
| sha1 | 8e8e724936cc7ed1b1c71d7185a4e48cf2efe6c4 |
| sha256 | dfe0987c40cfd101dc36b59527ea28eb8a90803b61776e4d943ab3c2b5c40775 |
| size | 347861 |
| subdir | linux-64 |
| timestamp | 1573738291813 |
| version | 1.1.0 |