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 | 3a53daf4de61670a7d4931f224a0739d |
| arch | x86_64 |
| build | py39hdb19cb5_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, python >=3.9,<3.10.0a0, blas * mkl, numpy <2.0a0 |
| license | BSD-3-Clause |
| license_family | BSD |
| md5 | 3a53daf4de61670a7d4931f224a0739d |
| name | mkl_random |
| platform | linux |
| sha1 | 65a8949528570a61f038ecca9536c0868c01d4d8 |
| sha256 | b4d57235c01a6c6671267e4e26dc138c62d11450d7213aaf6355f538438aea52 |
| size | 320569 |
| subdir | linux-64 |
| timestamp | 1695059874042 |
| version | 1.2.4 |