Installation

HILO-MPC is distributed as a Python package. We recommend to create a new Python environment and install HILO-MPC and the other necessary packages there. Here you can find the instructions on how to create a virtual environment using venv.

Installation from PyPI

After activating your Python environment, run the following command in your terminal

pip install hilo-mpc

Hard dependencies, that is necessary packages (like CasADi or NumPy), will be installed automatically.

Clone from GitHub

You can also clone the files directly from GitHub running

git clone https://github.com/hilo-mpc/hilo-mpc.git

Additional packages

HILO-MPC can make use of a few Python libraries that are not automatically installed since you might not need all of them. If you need them for you application, please install them manually.

Note

Make sure you install the correct version of these libraries

Library	Version
TensorFlow	>=2.3.0, <2.8.0
PyTorch	>=1.2.0
scikit-learn	>=0.19.2
Bokeh	>=2.3.0
Matplotlib	>=3.0.0
pandas	>=1.0.0