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Applied generative adversarial networks (GANs) to do anomaly detection for time series data

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Is it available an updated version of MAD-GANs implemented with tensorflow 2.x ?? Thanks,

I trained the model with the default configuration, and the results are abnormal. Did anyone succeed in SWaT? If u could share your parameters with me, I'd be grateful.

The best of the f1 score that I got is 0.3764 testing with the SWaT data. Is there some hyper parameters that I need to adjust to get close to...

Hi, I have the swat and wadi dataset, could you advise me how to use these datasets in the model Regards, Derek

Can anyone help me with this question? i 've stuck here for days ![JH5 CT_OYKI6}5O99Y2`E@9](https://user-images.githubusercontent.com/125196127/224536328-31c69669-e81f-470f-8924-65e6c0900aaf.png)

The dataset from http://kdd.ics.uci.edu/databases/kddcup99/kddcup99.html has 42 features and no labels, but you have 35 and get labels, did you do some preprocessings, please?

First question: The data obtained in the official kdd has 42 columns, and there are 38 columns except [tcp, http, SF, normal]. [0,tcp,http,SF,215,45076,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,1,1,0.00 ,0.00,0.00,0.00,1.00,0.00,0.00,0,0,0.00,0.00,0.00,0.00,0.00,0.00,0.00,0.00,normal. ] But the same one, there...

What are the requirements for the code project environment of this program example? My engineering environment is as follows: absl-py @ file:///C:/ci/absl-py_1615411229697/work argon2-cffi @ file:///C:/ci/argon2-cffi_1613037959010/work astunparse==1.6.3 async-generator @ file:///home/ktietz/src/ci/async_generator_1611927993394/work attrs...

Hi Li Dan, I am experimenting with your wonderful MAD-GAN work. All as bellow working well up until the python AD_Invert.py --settings_file kdd99_test which is on a strong GPU server...