Developed and tested for the gnome terminal, and is likely to work on most Unix/Linux systems.
Dataset files (M8_1_bins.zip,M8_2_bins.zip,MONZ5_bins.zip, and WG04_bins.zip) should be saved in the directory /home/<user>/Documents/MasterThesis/bins/.
Once the data files are in place, open this directory in your terminal and run a command. These are listed below:
| Command | Description | Requirements | Output |
|---|---|---|---|
| make | Runs main.py | N/A | N/A |
| make clean | Removes all __pycache__ directories | N/A | N/A |
| make reset | Removes all generated directories and files | N/A | N/A |
| make split | Splits a selected dataset into training and testing sets | Dataset in /data/ directory | Compressed .npz arrays |
| make train_DNN | Creates a DNN model using scikit-learn and a selected dataset | Split data in /split_data/ directory | Trained model .dnn file |