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 00:03:12 2025 |
| md5 checksum | 9555674cbb915680e88da542a4fa2866 |
| arch | x86_64 |
| build | py39ha9443f7_2 |
| build_number | 2 |
| depends | libgcc-ng >=7.3.0, libstdcxx-ng >=7.3.0, mkl >=2021.2.0,<2022.0a0, mkl-service >=2.3.0,<3.0a0, numpy >=1.16,<2.0a0, python >=3.9,<3.10.0a0, blas * mkl |
| license | BSD 3-Clause |
| md5 | 9555674cbb915680e88da542a4fa2866 |
| name | mkl_random |
| platform | linux |
| sha1 | dbb0492bfd62d62eebc4156758f996e7bed99590 |
| sha256 | 39799642912e727baef2b439f58c3274dfcb9d6baf8167b4ba345b13b9760e46 |
| size | 317702 |
| subdir | linux-64 |
| timestamp | 1618854115010 |
| version | 1.2.1 |