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GuansongPang / deviation-network

Source code of the KDD19 paper "Deep anomaly detection with deviation networks", weakly/partially supervised anomaly detection, few-shot anomaly detection, semi-supervised anomaly detection
GNU General Public License v3.0
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Training and testing #1

Closed Zumbalamambo closed 4 years ago

Zumbalamambo commented 4 years ago

How do I train or test the code?

GuansongPang commented 4 years ago

The detail of training and testing DevNet can ben found in the rundevnet function. See Lines 335-349 in devnet.py for the training and testing parameters.

Zumbalamambo commented 4 years ago

@GuansongPang which dataset did you use? Please share some details on dataset, training and inference

GuansongPang commented 4 years ago

Please see the experiments section and the reproducibility material in our paper for this information