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 22:43:37 2025 |
| md5 checksum | 0b138128f8cef8efc9fb5ea0cae855bb |
| arch | x86_64 |
| build | py310h1128e8f_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 >=1.21,<2.0a0, python >=3.10,<3.11.0a0, blas * mkl |
| license | BSD-3-Clause |
| license_family | BSD |
| md5 | 0b138128f8cef8efc9fb5ea0cae855bb |
| name | mkl_random |
| platform | linux |
| sha1 | 130c7d26324ec7f2db2c29afb81bb50f2e835c11 |
| sha256 | 25baa5d423b61e1a84b438e1bd14ab3a4e8af5898016839f82596bc94f879e20 |
| size | 290442 |
| subdir | linux-64 |
| timestamp | 1682950485925 |
| version | 1.2.2 |