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 00:03:09 2025 |
| md5 checksum | 3094f34db6ec1a40b300b70f1325b75d |
| arch | x86_64 |
| build | py311ha02d727_1 |
| build_number | 1 |
| 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 >=1.23,<2.0a0, python >=3.11,<3.12.0a0, blas * mkl |
| license | BSD-3-Clause |
| license_family | BSD |
| md5 | 3094f34db6ec1a40b300b70f1325b75d |
| name | mkl_random |
| platform | linux |
| sha1 | 25b289e6a206c1085d8aa4135511965a4949b216 |
| sha256 | db070f88089589f4524fdb6e3a3602e89ba451a9be2c9fed044ba7358c757aec |
| size | 297942 |
| subdir | linux-64 |
| timestamp | 1682950570305 |
| version | 1.2.2 |