Automatic FMU approximation tool.
To correctly build an FMU this program needs to compile the generated C source into a shared library, therefore it requires the installation of C compilers.
If you are using the provided docker image to run the program then you are
already able to cross compile the generated FMU to linux32, linux64,
win32 and win64 platforms.
Otherwise if you are using a Linux distribution, you probably already have
gcc installed, so you should be able to compile FMUs for your system. If
you want to share the generated FMU it is advisable to also install a cross
compiler to produce the binaries for Windows platforms (like
MinGW). Below are the instructions to install with
apt and dnf:
Debian/Ubuntu:
sudo apt install gcc-x86-64-linux-gnu gcc-i686-linux-gnu gcc-mingw-w64 gcc-mingw-w64-i686
Fedora:
sudo dnf install gcc-x86_64-linux-gnu mingw64-gcc mingw32-gcc
autofmu process a dataset
autofmu "dataset.csv" --inputs "x" "y" --outputs "z" -o "My Awesome Model.fmu"
This will read the dataset.csv file, select the x, y and z
columns and find an approximation of the relation between the inputs and the
outputs. Based on this relation, the sources files for the FMU will be
generated and compiled, resulting in the My Awesome Model.fmu file ready
to be used for simulations.
This project is licensed under MIT license.