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docker integration is used to reduce the overhead of setting up environment.
users are welcome to use non-docker environments on their own.
prepopulated hyperparameters and training logs as well as pretrained models are made available for evaluation.
Docker Setup
To build the docker image
replace gpu with cpu in docker-dl-setup/docker-compose.yml in case the system has no gpu
script to build the docker image
cd docker-dl-setup
docker-compose build
To run the docker container
./run-docker.sh
To enter the docker container
docker exec -it eigan_devel bash
Training
all scripts are run from *.sh files in scripts folder
change the hyperparameters, as in example scripts
run the scripts inside the docker container
sh scipts/<mimic/mnist/titanic>/<script-name>.sh
Comparison
comparison scripts need editing of python scripts
replace the names of the pre-populated training histories with the newly generated training histories after training to generate new plots and analysis.