Intel® Data Analytics Acceleration Library (Intel® DAAL) is a software solution that offers building blocks covering all the stages of data analytics, from preprocessing to decision making. The beta version of Intel DAAL 2017 provides support for the Python* language.
This article gives you three options to install the Python* version of Intel DAAL, or pyDAAL.
Anaconda* distribution on Linux*
The easiest way to install pyDAAL on Linux* is to get it through the Anaconda* distribution. For details, review this step-by-step instruction.
Intel® Distribution for Python* on Windows*, Linux*, and OS X*
pyDAAL is also shipped with the Intel® Distribution for Python*. For more information, refer to the product page.
Building pyDAAL from the source code
If the options above do not work for you, it is possible to build pyDAAL yourself. The sources are provided in the beta package of Intel DAAL 2017.
<DAAL install dir>/daal/bin/daalvars.shscript as appropriate for your target architecture:
cd <DAAL install dir>/pydaal_sources
<python home>/python setup.py install
setup.py script builds and installs the pyDAAL package to use Intel DAAL in Python* programs. For details, refer to the Intel DAAL getting started guide available in
<DAAL install dir>/documentation/en/ps2017.
The three options above are the most common ways of installing the Python* version of Intel DAAL on your system. Let us know which one you like the most. If you have another preferred method not covered in this article, we would also love to hear about it.
Performance varies by use, configuration and other factors. Learn more at www.Intel.com/PerformanceIndex.