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 00:03:04 2025 |
| md5 checksum | 6ecbc35fd1ba7a732fc7d83a2be2ba00 |
| arch | x86_64 |
| build | py310h1128e8f_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 >=3.10,<3.11.0a0, blas * mkl |
| license | BSD-3-Clause |
| license_family | BSD |
| md5 | 6ecbc35fd1ba7a732fc7d83a2be2ba00 |
| name | mkl_random |
| platform | linux |
| sha1 | 0d8b0672b7e80ceedaf930983508c2a7acf1707b |
| sha256 | 672ea300a24c16be21e30b2195e1a3f2bfe298a6301960c694010491c5d0b928 |
| size | 360183 |
| subdir | linux-64 |
| timestamp | 1725370447961 |
| version | 1.2.7 |