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mkl_random

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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 conda-forge::mkl_random

Usage Tracking

1.4.1
1.4.0
1.3.1
1.3.0
1.2.11
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Downloads (Last 6 months): 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.

Last Updated

May 12, 2026 at 19:53

License

BSD-3-Clause

Supported Platforms

macOS-64
win-64
linux-64

Unsupported Platforms

win-32 Last supported version: 1.0.1