• Python 3.5
• Tensorflow (version: 1.0.1)
• Keras (version: 2.0.2)

The instruction of commands has been clearly stated in the codes (see the parse_args function).

Run RCC-Dual-GAN:

python SO-GAAL.py --path_out Data/Stamps/out10.csv --path_unl Data/Stamps/unl10.csv --path_test Data/Stamps/test.csv

Use python RCC-Dual-GAN.py -h to get more argument setting details.

-h, --help	show this help message and exit
--path_out	Input the path of the identified anomalies
--path_unl 	Input the path of the unlabeled data
--path_test 	Input the path of the test data
--max_iter 	The maximum number of iterations
--nash_thr_1 	Threshold 1
--nash_thr_1 	Threshold 2

We provide four real-world datasets: Pima, Stamps, Pageblocks and Optdigits in Data/

Update: January 9, 2020