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 00:03:03 2025 |
| md5 checksum | 25330f9e94305c6d3d82625ca8178150 |
| arch | x86_64 |
| build | py311ha02d727_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 >=3.11,<3.12.0a0, blas * mkl |
| license | BSD-3-Clause |
| license_family | BSD |
| md5 | 25330f9e94305c6d3d82625ca8178150 |
| name | mkl_random |
| platform | linux |
| sha1 | 0228a0883a30b8debcf329f71ce9b915fda1c93a |
| sha256 | 3487873e5595d19bef36264fc4f75adf012ee85fe4f4426d4366417f45224af8 |
| size | 336220 |
| subdir | linux-64 |
| timestamp | 1730824036145 |
| version | 1.2.8 |