Bean Machine is a probabilistic programming language for inference over statistical models written in the Python language using a declarative syntax. Bean Machine is built on top of PyTorch and Bean Machine Graph, a custom C++ backend. Check out our tutorials and Quick Start to get started!
Bean Machine supports Python 3.7, 3.8 and PyTorch 1.10.
pip install beanmachineTo download the latest Bean Machine source code from GitHub:
git clone https://github.com/facebookresearch/beanmachine.git
cd beanmachineThen, you can choose from any of the following installation options.
We recommend using conda to manage the virtual environment and install the necessary build dependencies.
conda create -n {env name} python=3.7; conda activate {env name}
conda install boost eigen
pip install .docker build -t beanmachine .
docker run -it beanmachine:latest bashIf you would like to run the builtin unit tests:
# install pytest 7.0 from GitHub
pip install git+https://github.com/pytest-dev/[email protected]
pytest .Bean Machine is MIT licensed, as found in the LICENSE file.