CMD + K

mkl_random

Community

Intel (R) MKL-powered package for sampling from common probability distributions into NumPy arrays.

Installation

To install this package, run one of the following:

Conda
$conda install pytorch-nightly::mkl_random

Usage Tracking

1.2.2
1 / 8 versions selected
Total downloads: 0

Description

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.

About

Summary

Intel (R) MKL-powered package for sampling from common probability distributions into NumPy arrays.

Information Last Updated

Mar 25, 2025 at 16:24

License

BSD-3-Clause

Total Downloads

13.0K

Platforms

Linux 64 Version: 1.2.2
macOS 64 Version: 1.2.2