Soletta Machine Learning

Soletta Machine Learning is an open source machine learning library for development of IoT devices. It provides APIs to handle with client side AI and an easy to use flow-based Soletta module.

Initially supporting neural networks and fuzzy logic learning, using well established open source libraries, it could be easily extended to support others.

Building

Dependencies

This project depends on:

• fuzzylite:

  • Desc: A fuzzy logic control library written in C++.
  • Site
  • Source

• FANN (Fast Artificial Neural Network Library):

  • Desc: An open source neural network library.
  • Site
  • Source

• Soletta:

  • Desc: Soletta Project is a framework for making IoT devices.
  • Site
  • Source

Some distros (like Fedora, Ubuntu), has packaged FANN and fuzzylite.

Linux

Build and install all dependencies At the moment, it's required to do a minor fix on fuzzylite/fuzzylite.pc.in: Replace

Cflags: -I${includedir}/fl

by

Cflags: -I${includedir}

Alternativelly it's possible to provide a cmake with extra cflags:

$ cmake -DCMAKE_C_FLAGS="-I/path/to/proper/header/dir/"

After dependencies setup and installation, build machine-learning running: Using both engines:

$ cmake -DFUZZY_ENGINE=ON -DANN_ENGINE=ON .

or

$ cmake .
$ make

Using only the neural networks engine:

$ cmake -DFUZZY_ENGINE=OFF .
$ make

Using only the Fuzzy engine:

$ cmake -DANN_ENGINE=OFF .
$ make

Docs

To build docs run:

$ make doc

Galileo

• Install proper toolchain to build for galileo board.

• Edit soletta_module/i586-poky-linux-uclibc.cmake and update CMAKE_FIND_ROOT_PATH variable to point the toolchain's sysdir with any necessary dependencies to build sml.

• Create temporary directory to install sml and its dependencies. It is called in this instruction {TMP_DESTDIR_PATH}

• To use soletta_module/i586-poky-linux-uclibc.cmake to build fann and fuzzylite and install them to the toolchain's ROOT_PATH. Run:

   $ cmake .. \
     -DCMAKE_TOOLCHAIN_FILE={PATH_TO_SML}soletta_module/i586-poky-linux-uclibc.cmake \
     -DCMAKE_INSTALL_PREFIX:PATH=/usr
   $ make && make install DESTDIR={TMP_DESTDIR_PATH}
  

• Copy all files in {TMP_DESTDIR_PATH} to toolchain's sysdir.

• Use same command to build sml and to install it to {TMP_DESTDIR_PATH}

• Copy all files in {TMP_DESTDIR_PATH} to root of image to be used in galileo board.