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 | 6960e54ea5bfccaed1dce825fc4a39e6 |
| arch | x86_64 |
| build | py38h417a72b_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 >=1.16,<2.0a0, python >=3.8,<3.9.0a0, blas * mkl |
| license | BSD-3-Clause |
| license_family | BSD |
| md5 | 6960e54ea5bfccaed1dce825fc4a39e6 |
| name | mkl_random |
| platform | linux |
| sha1 | 32023e51e2b7926671b2bd5076e9470e564294fe |
| sha256 | e46740c7c9f531ca0f285f408b69a411ae68a321361325b056b1a13982fafe62 |
| size | 316605 |
| subdir | linux-64 |
| timestamp | 1682950611036 |
| version | 1.2.2 |