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 00:03:12 2025 |
| md5 checksum | 4ea2a6c7065d1a03fde6bdb373123054 |
| arch | x86_64 |
| build | py39h807cd23_1 |
| build_number | 1 |
| depends | blas 1.0 mkl, libgcc-ng >=11.2.0, libstdcxx-ng >=11.2.0, mkl >=2021.4.0,<2022.0a0, mkl-service >=2.3.0,<3.0a0, numpy-base >=1.2.1,<2.0a0, python >=3.9,<3.10.0a0 |
| license | BSD-3-Clause |
| license_family | BSD |
| md5 | 4ea2a6c7065d1a03fde6bdb373123054 |
| name | mkl_random |
| platform | linux |
| sha1 | eff8d21a5f6c5e7367b3c026bff4f2445d1df311 |
| sha256 | 95edb2e4b4b8e3e752d25afdffc679b2d3b6f798fadcbab85a63da3b21e0554e |
| size | 337739 |
| subdir | linux-64 |
| timestamp | 1654864199152 |
| version | 1.2.1 |