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 | 2e02ee8583282b53c645d9edde165b22 |
| arch | x86_64 |
| build | py38ha9443f7_2 |
| build_number | 2 |
| depends | libgcc-ng >=7.3.0, libstdcxx-ng >=7.3.0, mkl >=2021.2.0,<2022.0a0, mkl-service >=2.3.0,<3.0a0, numpy >=1.16,<2.0a0, python >=3.8,<3.9.0a0, blas * mkl |
| license | BSD 3-Clause |
| md5 | 2e02ee8583282b53c645d9edde165b22 |
| name | mkl_random |
| platform | linux |
| sha1 | 56ae8113e911402d06b94be06d5e5290f48941e6 |
| sha256 | 8f404465780e29c771cd673f81488aef097d79a06f8a7a1093b68c55ddcaa9c2 |
| size | 312778 |
| subdir | linux-64 |
| timestamp | 1618853977229 |
| version | 1.2.1 |