Use the experiments_results notebook to regenrate the experimental results in the paper.
run following command to regenrate data samples: python generate_dataset.py -s electricity where -s is the system to build data for, optional values are ["lorenz", "accelerometer", "gait_force", "roaming_worm", "electricity"]
run following command to genrate the index of the samples:
python training.py -gpu 1 -s electricity -mode 1
run following command to retrain all models: python training.py -gpu 1 -s electricity where -s is the system to build data for, optional values are ["lorenz", "accelerometer", "gait_force", "roaming_worm", "electricity"]