slrbl / malware-detection-with-deep-learning-autoencoder

https://www.linkedin.com/pulse/malware-detection-using-deep-autoencoder-neural-network-walid-daboubi/
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(Windows user) Making Predictions? #1

Open ContegoCode opened 4 years ago

ContegoCode commented 4 years ago

I have visited the linked in page that describes the workings of this project but in the repository and on the web page where it details Detection it lists these two lines.

predictions_malicous = autoencoder.predict(X_test_malicious) predictions_non_malicous = autoencoder.predict(X_test_non_malicious)

Might i ask if you could create a perdict.py script and also a pre-processing script that generates the data in the .csv file.

thank you in advance look forward to hearing from you soon.

slrbl commented 4 years ago

you can use the file the script gen_feaures.py to generate CSV data.

ContegoCode commented 4 years ago

Ok thank you very much for the update! How might I make perdictions?

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you can use the file the script gen_feaures.py to generate CSV data.

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slrbl commented 4 years ago

You can modify train.py to make prediction for a specific file. Send me an email of what you need to do exactly and I will reply.