-
Recommend creating a python virtual environment
python -m venv <venv_name>
Activate the venv.
-
Clone the automates repository: https://github.com/ml4ai/automates
git clone https://github.com/ml4ai/automates.git
-
While in the activated venv, pip install automates: cd into the root of the automates respository and run:
pip install -e .
-
Clone the skema repository: https://github.com/ml4ai/skema
git clone https://github.com/ml4ai/skema.git
-
While in the activated venv, pip install skema: cd into the root of the skema repository and run:
pip install -e .
-
Ensure you have a copy of the following directories under the
ASKEM-SKEMA/data google drive
:resources/tr/
epidemiology/CHIME/CHIME_penn_full_model/
You will update your local paths to these directories in the
demo/skema-demo-2022-Dec.ipynb
jupyter notebook.
- Start the SKEMA Server:
- cd to
<skema>/skema/skema/skema-rs/
docker-compose -f docker-compose.memgraph.yml up --build -d
cargo run --bin skema_service
- Launch the demo python notebook:
<ASKEM-TA1-SKEMA-Demo-2022-12>/demo/skema-demo-2022-Dec.ipynb
and work through sequentially.