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 00:03:07 2025 |
| md5 checksum | 23be7e28fb29dff4ad07ff4f3b4265f2 |
| arch | x86_64 |
| build | py38hdb19cb5_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, python >=3.8,<3.9.0a0, blas * mkl |
| license | BSD-3-Clause |
| license_family | BSD |
| md5 | 23be7e28fb29dff4ad07ff4f3b4265f2 |
| name | mkl_random |
| platform | linux |
| sha1 | e6faf171c6454d14551a89266e08ca61baf70053 |
| sha256 | a5204992346f0053ce51ed74fb66024fee100fc5a42a4b5b41ada99441a960c5 |
| size | 335187 |
| subdir | linux-64 |
| timestamp | 1695060063199 |
| version | 1.2.4 |