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 00:03:07 2025 |
| md5 checksum | 03c0cbc3976f219dd7313a628078fb15 |
| arch | x86_64 |
| build | py310h00e6091_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 | 03c0cbc3976f219dd7313a628078fb15 |
| name | mkl_random |
| platform | linux |
| sha1 | 0161b8729a07e42207f024ac7b618db9cddde23b |
| sha256 | d8e6e2820e24a3200d02c321a23961d54cfb49484c423919157c420f22868e78 |
| size | 1033029 |
| subdir | linux-64 |
| timestamp | 1641843589171 |
| version | 1.2.2 |