## ``mkl_random`` -- a NumPy-based Python interface to Intel (R) MKL Random Number Generation functionality
[](https://travis-ci.com/IntelPython/mkl_random)
`mkl_random` has started as Intel (R) Distribution for Python optimizations for NumPy.
Per NumPy's community suggestions, voiced in https://github.com/numpy/numpy/pull/8209, it is being released as a
stand-alone package.
Prebuilt `mkl_random` can be installed into conda environment from Intel's channel on Anaconda cloud:
```
conda install -c intel mkl_random
```
---
To install mkl_random Pypi package please use following command:
```
python -m pip install --i https://pypi.anaconda.org/intel/simple -extra-index-url https://pypi.org/simple mkl_random
```
If command above installs NumPy package from the Pypi, please use following command to install Intel optimized NumPy wheel package from Anaconda Cloud:
```
python -m pip install --i https://pypi.anaconda.org/intel/simple -extra-index-url https://pypi.org/simple mkl_random numpy==<numpy_version>
```
Where `<numpy_version>` should be the latest version from https://anaconda.org/intel/numpy
---
`mkl_random` is not fixed-seed backward compatible drop-in replacement for `numpy.random`, meaning that it implements sampling from the same distributions as `numpy.random`.
For distributions directly supported in Intel (R) Math Kernel Library (MKL), `method` keyword is supported:
```
mkl_random.standard_normal(size=(10**5, 10**3), method='BoxMuller')
```
Additionally, `mkl_random` exposes different basic random number generation algorithms available in MKL. For example to use `SFMT19937` use
```
mkl_random.RandomState(77777, brng='SFMT19937')
```
For generator families, such that `MT2203` and Wichmann-Hill, a particular member of the family can be chosen by specifying ``brng=('WH', 3)``, etc.
The list of supported by `mkl_random.RandomState` constructor `brng` keywords is as follows:
* 'MT19937'
* 'SFMT19937'
* 'WH' or ('WH', id)
* 'MT2203' or ('MT2203', id)
* 'MCG31'
* 'R250'
* 'MRG32K3A'
* 'MCG59'
* 'PHILOX4X32X10'
* 'NONDETERM'
* 'ARS5'
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"description": "## ``mkl_random`` -- a NumPy-based Python interface to Intel (R) MKL Random Number Generation functionality\n[](https://travis-ci.com/IntelPython/mkl_random)\n\n`mkl_random` has started as Intel (R) Distribution for Python optimizations for NumPy.\n\nPer NumPy's community suggestions, voiced in https://github.com/numpy/numpy/pull/8209, it is being released as a\nstand-alone package.\n\nPrebuilt `mkl_random` can be installed into conda environment from Intel's channel on Anaconda cloud:\n\n```\n conda install -c intel mkl_random\n```\n\n---\n\nTo install mkl_random Pypi package please use following command:\n\n```\n python -m pip install --i https://pypi.anaconda.org/intel/simple -extra-index-url https://pypi.org/simple mkl_random\n```\n\nIf command above installs NumPy package from the Pypi, please use following command to install Intel optimized NumPy wheel package from Anaconda Cloud:\n\n```\n python -m pip install --i https://pypi.anaconda.org/intel/simple -extra-index-url https://pypi.org/simple mkl_random numpy==<numpy_version>\n```\n\nWhere `<numpy_version>` should be the latest version from https://anaconda.org/intel/numpy\n\n---\n\n`mkl_random` is not fixed-seed backward compatible drop-in replacement for `numpy.random`, meaning that it implements sampling from the same distributions as `numpy.random`.\n\nFor distributions directly supported in Intel (R) Math Kernel Library (MKL), `method` keyword is supported:\n\n```\n mkl_random.standard_normal(size=(10**5, 10**3), method='BoxMuller')\n```\n\nAdditionally, `mkl_random` exposes different basic random number generation algorithms available in MKL. For example to use `SFMT19937` use\n\n```\n mkl_random.RandomState(77777, brng='SFMT19937')\n```\n\nFor generator families, such that `MT2203` and Wichmann-Hill, a particular member of the family can be chosen by specifying ``brng=('WH', 3)``, etc.\n\nThe list of supported by `mkl_random.RandomState` constructor `brng` keywords is as follows:\n\n * 'MT19937'\n * 'SFMT19937'\n * 'WH' or ('WH', id)\n * 'MT2203' or ('MT2203', id)\n * 'MCG31'\n * 'R250'\n * 'MRG32K3A'\n * 'MCG59'\n * 'PHILOX4X32X10'\n * 'NONDETERM'\n * 'ARS5'\n\n\n",
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