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 00:03:05 2025 |
| md5 checksum | 66e276f82f8d6e2f40df333375fd269d |
| arch | x86_64 |
| build | py39h1128e8f_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 >=3.9,<3.10.0a0, blas * mkl |
| license | BSD-3-Clause |
| license_family | BSD |
| md5 | 66e276f82f8d6e2f40df333375fd269d |
| name | mkl_random |
| platform | linux |
| sha1 | c98c995cc39cd585085941a4257d56353329b03f |
| sha256 | b1411d50cfefd08391ef94ba85cad779bb5dedf823c85060587a72b9231dc85e |
| size | 360871 |
| subdir | linux-64 |
| timestamp | 1725370295625 |
| version | 1.2.7 |