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 00:03:05 2025 |
| md5 checksum | c26d1de1162018bdef3e8a5bc6c1bf81 |
| arch | x86_64 |
| build | py312h526ad5a_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 >=3.12,<3.13.0a0, blas * mkl |
| license | BSD-3-Clause |
| license_family | BSD |
| md5 | c26d1de1162018bdef3e8a5bc6c1bf81 |
| name | mkl_random |
| platform | linux |
| sha1 | 53b1178bd5739d58905375e4286567775d0a3241 |
| sha256 | 8afabed44efcf0f950210d7f02a8e2e687e7bf8e7c662266943d2478dddce0b2 |
| size | 363541 |
| subdir | linux-64 |
| timestamp | 1725370399347 |
| version | 1.2.7 |