Dependencies

You can grab the code from GitHub. This includes all the core dependencies that are required for the algorithm(s) to work. You can make a new conda environment with everything required with:

conda env create -f environment.yml

This will create an environment called mml (You can edit environment.yml to change that name).

Then change to that environment with (remember to change the name if you modified environment.yml):

conda activate mml

Additional dependencies

For the getting started tutorial you will also need scikit-learn, as we will be using a pre-trained model. You can install it with conda install scikit-learn=0.23.2.