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 00:03:08 2025 |
| md5 checksum | 249b2bd6c6a7a271ff51b4fd79ccae53 |
| arch | x86_64 |
| build | py310h83d4ef7_0 |
| depends | libgcc-ng >=7.5.0, libstdcxx-ng >=7.5.0, mkl >=2021.4.0,<2022.0a0, mkl-service >=2.3.0,<3.0a0, numpy >=1.21,<2.0a0, python >=3.10,<3.11.0a0, blas * mkl |
| license | BSD-3-Clause |
| md5 | 249b2bd6c6a7a271ff51b4fd79ccae53 |
| name | mkl_random |
| platform | linux |
| sha1 | dcc5534ed77169f4b5b0cea91cc124388688070b |
| sha256 | 74cc83ee54c929cce9a4e9c7d1928a2d6b22a7f4aea05322c943c58f55edb98d |
| size | 1037301 |
| subdir | linux-64 |
| timestamp | 1639980120043 |
| version | 1.2.2 |