- If
docker ps -a
does not list a container namednemoco-container
, run./activate-container.sh
- If the container already exists, run
docker start nemoco-container -i
- Once inside container, run your scripts or start the jupyter server with
start-server.py
- Starting point are two csv files, one for the input data and one for the output data
- Combine and clean them with
prepare_data.py
, put the results intosrc/datasets/prepared_datasets
- Generate trainbale datasets with
generate_datasets.py
Just run the train.py
script, the only input you need is the dataset you previously generated.