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 00:03:11 2025 |
| md5 checksum | 66aefe6d2fdbd77fee3fa79f67486d54 |
| arch | x86_64 |
| build | py38h807cd23_1 |
| build_number | 1 |
| depends | blas 1.0 mkl, libgcc-ng >=11.2.0, libstdcxx-ng >=11.2.0, mkl >=2021.4.0,<2022.0a0, mkl-service >=2.3.0,<3.0a0, numpy-base >=1.2.1,<2.0a0, python >=3.8,<3.9.0a0 |
| license | BSD-3-Clause |
| license_family | BSD |
| md5 | 66aefe6d2fdbd77fee3fa79f67486d54 |
| name | mkl_random |
| platform | linux |
| sha1 | 2d68b501645d35543fc66a1477f5015002b08016 |
| sha256 | 7b2644552687b49fd236da5c4083c2b48932da87d895bfb4ccca9ab405952fa7 |
| size | 350278 |
| subdir | linux-64 |
| timestamp | 1654864516409 |
| version | 1.2.1 |