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 00:03:03 2025 |
| md5 checksum | 6d6f4e098a270c588c66bffc7f11f5bc |
| arch | x86_64 |
| build | py39h1128e8f_0 |
| 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, python >=3.9,<3.10.0a0, blas * mkl |
| license | BSD-3-Clause |
| license_family | BSD |
| md5 | 6d6f4e098a270c588c66bffc7f11f5bc |
| name | mkl_random |
| platform | linux |
| sha1 | dc2dce5a3c87ae2b0b773714b26878ba6f56b86a |
| sha256 | bd646f7895b0342a2f5c11c18eba7e5ec1d5f300b0bcb9e02f2e0d853cb63625 |
| size | 327114 |
| subdir | linux-64 |
| timestamp | 1730823963769 |
| version | 1.2.8 |