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 | 17b14925bcdf83674749e62a663e6a6a |
| arch | x86_64 |
| build | py311hba01205_0 |
| depends | libgcc-ng >=11.2.0, libstdcxx-ng >=11.2.0, mkl >=2021.4.0,<2022.0a0, mkl-service >=2.3.0,<3.0a0, numpy >=1.22,<2.0a0, python >=3.11,<3.12.0a0, blas * mkl |
| license | BSD-3-Clause |
| md5 | 17b14925bcdf83674749e62a663e6a6a |
| name | mkl_random |
| platform | linux |
| sha1 | 2a6ac9f1b5558fbb4b842fcdf58fec89e19871d2 |
| sha256 | a4db01643a9552766bcbfac624e971d8c75b9b525467edc504bcaa4e5260992d |
| size | 295893 |
| subdir | linux-64 |
| timestamp | 1676828066969 |
| version | 1.2.2 |