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 00:03:11 2025 |
| md5 checksum | c753c11783825f0e0ffd23106c2696d5 |
| arch | x86_64 |
| build | py39h51133e4_0 |
| depends | libgcc-ng >=7.5.0, libstdcxx-ng >=7.5.0, mkl >=2021.2.0,<2022.0a0, mkl-service >=2.3.0,<3.0a0, numpy >=1.16,<2.0a0, python >=3.9,<3.10.0a0, blas * mkl |
| license | BSD-3-Clause |
| md5 | c753c11783825f0e0ffd23106c2696d5 |
| name | mkl_random |
| platform | linux |
| sha1 | 6599f48e40b85fbd7c02809ecc7ff36447d1a7af |
| sha256 | 8533eeb7f8dd4951f321fe6c252885d73ba4e7bea6c069b560fab557fc8eff23 |
| size | 316903 |
| subdir | linux-64 |
| timestamp | 1626186165897 |
| version | 1.2.2 |