Soletta Machine Learning Quickstart
In this document you'll be guided through all steps needed to have Soletta™ Project's Machine Learning up and running.
If you're interested on run SML on Intel® Edison or Intel® Galileo Gen 2, please follow these instructions instead, since they differ a bit.
Start by cloning Soletta Project Machine Learning repository:
$ git clone git@github.com:solettaproject/soletta-machine-learning.git
Install the dependencies: fuzzylite-5.0, fann-2.2.0 and soletta
fuzzylite is fuzzy logic control library written in C++:
- Web site: http://www.fuzzylite.com/
- github: https://github.com/fuzzylite/fuzzylite.git
- you may find packages for your distro as well
FANN is a neural network library.
- Web site: http://leenissen.dk/fann/wp/
- github: https://github.com/libfann/fann
- some distros like Fedora, has Fann in its rpm repository.
Soletta framework was designed for making IoT devices. Some Soletta project's data types are used by SML. Also SML provides a module for Soletta project that depends on it.
- Web site: http://solettaproject.org/
- github: https://github.com/solettaproject/soletta
CMake building system is used to build SML, so it's required to install it.
After dependencies are properly installed, it's time to build SML:
$ cd soletta-machine-learning/
$ mkdir build/
$ cd build/
$ cmake ..
$ make
$ make install