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 00:03:05 2025 |
| md5 checksum | ea6613d438fb74b74f31b506638a6998 |
| arch | x86_64 |
| build | py310hdb19cb5_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, python >=3.10,<3.11.0a0, blas * mkl, numpy <2.0a0 |
| license | BSD-3-Clause |
| license_family | BSD |
| md5 | ea6613d438fb74b74f31b506638a6998 |
| name | mkl_random |
| platform | linux |
| sha1 | 4c061cbe2b22726a12f0cae7124953c4dc2a28c3 |
| sha256 | b4ec80c604954504122eed5591c30350209e598817e6afc30f88769b0b7f6b82 |
| size | 319984 |
| subdir | linux-64 |
| timestamp | 1695059998140 |
| version | 1.2.4 |