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 00:03:13 2025 |
| md5 checksum | d606c76928ccd2c811069c271d13dc3b |
| arch | x86_64 |
| build | py38h0573a6f_0 |
| depends | libgcc-ng >=7.3.0, libstdcxx-ng >=7.3.0, mkl >=2020.1,<2021.0a0, numpy >=1.14,<2.0a0, python >=3.8,<3.9.0a0, blas * mkl |
| license | BSD 3-Clause |
| md5 | d606c76928ccd2c811069c271d13dc3b |
| name | mkl_random |
| platform | linux |
| sha1 | c527ab51c82d605e0a1e09b1204fac3813667ba0 |
| sha256 | c77494eac08d32b62f90bdae10d58349747ec19c6108b2d5bd78f86ebeabb983 |
| size | 349236 |
| subdir | linux-64 |
| timestamp | 1590531546391 |
| version | 1.1.1 |