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 00:03:15 2025 |
| md5 checksum | cb7d56b724c6475c64d9f83c7e60ceee |
| arch | x86_64 |
| build | py39h63df603_0 |
| depends | blas 1.0 mkl, libgcc-ng >=7.3.0, libstdcxx-ng >=7.3.0, mkl >=2019.4,<2021.0a0, mkl-service >=2,<3.0a0, numpy-base >=1.0.2,<2.0a0, python >=3.9,<3.10.0a0 |
| license | BSD 3-Clause |
| md5 | cb7d56b724c6475c64d9f83c7e60ceee |
| name | mkl_random |
| platform | linux |
| sha1 | 2ac345c5f34c0e18982cc127d2636e1adf6b5608 |
| sha256 | 20472394f0c99a3c42b4d6d2031a2234ebdae46b134525ec76cfbef2d7be029b |
| size | 354222 |
| subdir | linux-64 |
| timestamp | 1607432375281 |
| version | 1.0.2 |