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 22:43:35 2025 |
| md5 checksum | ca93d122711271c2085de07b16965af3 |
| 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 | ca93d122711271c2085de07b16965af3 |
| name | mkl_random |
| platform | linux |
| sha1 | 50d1ab168ed920b0ce10a471f1f518c4c8c8c134 |
| sha256 | 62c72c3decb30907cf1a206afac88ab386a707708a3e855af591e43c14d4613f |
| size | 369792 |
| subdir | linux-64 |
| timestamp | 1725370348238 |
| version | 1.2.7 |