Create and activate the conda environment using:
conda env create -f environment.yml
conda activate aml
Attach the environment to Jupyter using:
python -m ipykernel install --user --name=aml
Open this notebook using the command
jupyter notebook
inside your activated aml environment (if this command does not work, use pip install notebook.)
Go to Kernel -> change kernel -> aml at the top.
Download the data from https://vanderbilt.box.com/s/ljzx9zjcrlx1re9bfh331nl743k1shxz and put it in this directory.
Code showing how we train normalizing flow models and perform empirical Bayes is shown in showcase.ipynb. Code used to train models on the Tennessee Eastman Process dataset is shown in TEP.ipynb. Code used to run the hyperparameter grid search is shown in hpo.py.