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 22:43:36 2025 |
| md5 checksum | e8525b8af65573f138e970dfc0155fa8 |
| arch | x86_64 |
| build | py311hdb19cb5_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, python >=3.11,<3.12.0a0, blas * mkl, numpy <2.0a0 |
| license | BSD-3-Clause |
| license_family | BSD |
| md5 | e8525b8af65573f138e970dfc0155fa8 |
| name | mkl_random |
| platform | linux |
| sha1 | becf2fb287ea33a5bce43bac6a0b61b3b0d31073 |
| sha256 | b257daa4a5f8d72674af490d56458e836b7ce15ef0cb029cd6b1b6a3a3df41ad |
| size | 324007 |
| subdir | linux-64 |
| timestamp | 1695059935112 |
| version | 1.2.4 |